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Infrastructure was passé…uncool. Difficult to get dollars from Private Equity and Growth funds, and almost impossible to get a VC fund interested. Now?! Now, it's cool. Infrastructure seems to be having a Renaissance, a full on Rebirth, not just fueled by commercial interests (e.g. advent of AI), but also by industrial policy and geopolitical considerations. In this episode of Tech Deciphered, we explore what's cool in the infrastructure spaces, including mega trends in semiconductors, energy, networking & connectivity, manufacturing Navigation: Intro We're back to building things Why now: the 5 forces behind the renaissance Semiconductors: compute is the new oil Networking & connectivity: digital highways get rebuilt Energy: rebuilding the power stack (not just renewables) Manufacturing: the return of “atoms + bits” Wrap: what it means for startups, incumbents, and investors Conclusion Our co-hosts: Bertrand Schmitt, Entrepreneur in Residence at Red River West, co-founder of App Annie / Data.ai, business angel, advisor to startups and VC funds, @bschmitt Nuno Goncalves Pedro, Investor, Managing Partner, Founder at Chamaeleon, @ngpedro Our show: Tech DECIPHERED brings you the Entrepreneur and Investor views on Big Tech, VC and Start-up news, opinion pieces and research. We decipher their meaning, and add inside knowledge and context. Being nerds, we also discuss the latest gadgets and pop culture news Subscribe To Our Podcast Nuno Gonçalves Pedro Introduction Welcome to episode 73 of Tech Deciphered, Infrastructure, the Rebirth or Renaissance. Infrastructure was passé, it wasn’t cool, but all of a sudden now everyone’s talking about network, talking about compute and semiconductors, talking about logistics, talking about energy. What gives? What’s happened? It was impossible in the past to get any funds, venture capital, even, to be honest, some private equity funds or growth funds interested in some of these areas, but now all of a sudden everyone thinks it’s cool. The infrastructure seems to be having a renaissance, a full-on rebirth. In this episode, we will explore in which cool ways the infrastructure spaces are moving and what’s leading to it. We will deep dive into the forces that are leading us to this. We will deep dive into semiconductors, networking and connectivity, energy, manufacturing, and then we’ll wrap up. Bertrand, so infrastructure is cool now. Bertrand Schmitt We're back to building things Yes. I thought software was going to eat the world. I cannot believe it was then, maybe even 15 years ago, from Andreessen, that quote about software eating the world. I guess it’s an eternal balance. Sometimes you go ahead of yourself, you build a lot of software stack, and at some point, you need the hardware to run this software stack, and there is only so much the bits can do in a world of atoms. Nuno Gonçalves Pedro Obviously, we’ve gone through some of this before. I think what we’re going through right now is AI is eating the world, and because AI is eating the world, it’s driving a lot of this infrastructure building that we need. We don’t have enough energy to be consumed by all these big data centers and hyperscalers. We need to be innovative around network as well because of the consumption in terms of network bandwidth that is linked to that consumption as well. In some ways, it’s not software eating the world, AI is eating the world. Because AI is eating the world, we need to rethink everything around infrastructure and infrastructure becoming cool again. Bertrand Schmitt There is something deeper in this. It’s that the past 10, even 15 years were all about SaaS before AI. SaaS, interestingly enough, was very energy-efficient. When I say SaaS, I mean cloud computing at large. What I mean by energy-efficient is that actually cloud computing help make energy use more efficient because instead of companies having their own separate data centers in many locations, sometimes poorly run from an industrial perspective, replace their own privately run data center with data center run by the super scalers, the hyperscalers of the world. These data centers were run much better in terms of how you manage the coolings, the energy efficiency, the rack density, all of this stuff. Actually, the cloud revolution didn’t increase the use of electricity. The cloud revolution was actually a replacement from your private data center to the hyperscaler data center, which was energy efficient. That’s why we didn’t, even if we are always talking about that growth of cloud computing, we were never feeling the pinch in term of electricity. As you say, we say it all changed because with AI, it was not a simple “Replacement” of locally run infrastructure to a hyperscaler run infrastructure. It was truly adding on top of an existing infrastructure, a new computing infrastructure in a way out of nowhere. Not just any computing infrastructure, an energy infrastructure that was really, really voracious in term of energy use. Nuno Gonçalves Pedro There was one other effect. Obviously, we’ve discussed before, we are in a bubble. We won’t go too much into that today. But the previous big bubble in tech, which is in the late ’90s, there was a lot of infrastructure built. We thought the internet was going to take over back then. It didn’t take over immediately, but there was a lot of network connectivity, bandwidth built back in the day. Companies imploded because of that as well, or had to restructure and go in their chapter 11. A lot of the big telco companies had their own issues back then, etc., but a lot of infrastructure was built back then for this advent of the internet, which would then take a long time to come. In some ways, to your point, there was a lot of latent supply that was built that was around that for a while wasn’t used, but then it was. Now it’s been used, and now we need new stuff. That’s why I feel now we’re having the new moment of infrastructure, new moment of moving forward, aligned a little bit with what you just said around cloud computing and the advent of SaaS, but also around the fact that we had a lot of buildup back in the late ’90s, early ’90s, which we’re now still reaping the benefits on in today’s world. Bertrand Schmitt Yeah, that’s actually a great point because what was built in the late ’90s, there was a lot of fibre that was built. Laying out the fibre either across countries, inside countries. This fibre, interestingly enough, you could just change the computing on both sides of the fibre, the routing, the modems, and upgrade the capacity of the fibre. But the fibre was the same in between. The big investment, CapEx investment, was really lying down that fibre, but then you could really upgrade easily. Even if both ends of the fibre were either using very old infrastructure from the ’90s or were actually dark and not being put to use, step by step, it was being put to use, equipment was replaced, and step by step, you could keep using more and more of this fibre. It was a very interesting development, as you say, because it could be expanded over the years, where if we talk about GPUs, use for AI, GPUs, the interesting part is actually it’s totally the opposite. After a few years, it’s useless. Some like Google, will argue that they can depreciate over 5, 6 years, even some GPUs. But at the end of the day, the difference in perf and energy efficiency of the GPUs means that if you are energy constrained, you just want to replace the old one even as young as three-year-old. You have to look at Nvidia increasing spec, generation after generation. It’s pretty insane. It’s usually at least 3X year over year in term of performance. Nuno Gonçalves Pedro At this moment in time, it’s very clear that it’s happening. Why now: the 5 forces behind the renaissance Maybe let’s deep dive into why it’s happening now. What are the key forces around this? We’ve identified, I think, five forces that are particularly vital that lead to the world we’re in right now. One we’ve already talked about, which is AI, the demand shock and everything that’s happened because of AI. Data centers drive power demand, drive grid upgrades, drive innovative ways of getting energy, drive chips, drive networking, drive cooling, drive manufacturing, drive all the things that we’re going to talk in just a bit. One second element that we could probably highlight in terms of the forces that are behind this is obviously where we are in terms of cost curves around technology. Obviously, a lot of things are becoming much cheaper. The simulation of physical behaviours has become a lot more cheap, which in itself, this becomes almost a vicious cycle in of itself, then drives the adoption of more and more AI and stuff. But anyway, the simulation is becoming more and more accessible, so you can do a lot of simulation with digital twins and other things off the real world before you go into the real world. Robotics itself is becoming, obviously, cheaper. Hardware, a lot of the hardware is becoming cheaper. Computer has become cheaper as well. Obviously, there’s a lot of cost curves that have aligned that, and that’s maybe the second force that I would highlight. Obviously, funds are catching up. We’ll leave that a little bit to the end. We’ll do a wrap-up and talk a little bit about the implications to investors. But there’s a lot of capital out there, some capital related to industrial policy, other capital related to private initiative, private equity, growth funds, even venture capital, to be honest, and a few other elements on that. That would be a third force that I would highlight. Bertrand Schmitt Yes. Interestingly enough, in terms of capital use, and we’ll talk more about this, but some firms, if we are talking about energy investment, it was very difficult to invest if you are not investing in green energy. Now I think more and more firms and banks are willing to invest or support different type of energy infrastructure, not just, “Green energy.” That’s an interesting development because at some point it became near impossible to invest more in gas development, in oil development in the US or in most Western countries. At least in the US, this is dramatically changing the framework. Nuno Gonçalves Pedro Maybe to add the two last forces that I think we see behind the renaissance of what’s happening in infrastructure. They go hand in hand. One is the geopolitics of the world right now. Obviously, the world was global flat, and now it’s becoming increasingly siloed, so people are playing it to their own interests. There’s a lot of replication of infrastructure as well because people want to be autonomous, and they want to drive their own ability to serve end consumers, businesses, etc., in terms of data centers and everything else. That ability has led to things like, for example, chips shortage. The fact that there are semiconductors, there are shortages across the board, like memory shortages, where everything is packed up until 2027 of 2028. A lot of the memory that was being produced is already spoken for, which is shocking. There’s obviously generation of supply chain fragilities, obviously, some of it because of policies, for example, in the US with tariffs, etc, security of energy, etc. Then the last force directly linked to the geopolitics is the opposite of it, which is the policy as an accelerant, so to speak, as something that is accelerating development, where because of those silos, individual countries, as part their industrial policy, then want to put capital behind their local ecosystems, their local companies, so that their local companies and their local systems are for sure the winners, or at least, at the very least, serve their own local markets. I think that’s true of a lot of the things we’re seeing, for example, in the US with the Chips Act, for semiconductors, with IGA, IRA, and other elements of what we’ve seen in terms of practices, policies that have been implemented even in Europe, China, and other parts of the world. Bertrand Schmitt Talking about chips shortages, it’s pretty insane what has been happening with memory. Just the past few weeks, I have seen a close to 3X increase in price in memory prices in a matter of weeks. Apparently, it started with a huge order from OpenAI. Apparently, they have tried to corner the memory market. Interestingly enough, it has flat-footed the entire industry, and that includes Google, that includes Microsoft. There are rumours of their teams now having moved to South Korea, so they are closer to the action in terms of memory factories and memory decision-making. There are rumours of execs who got fired because they didn’t prepare for this type of eventuality or didn’t lock in some of the supply chain because that memory was initially for AI, but obviously, it impacts everything because factories making memories, you have to plan years in advance to build memories. You cannot open new lines of manufacturing like this. All factories that are going to open, we know when they are going to open because they’ve been built up for years. There is no extra capacity suddenly. At the very best, you can change a bit your line of production from one type of memory to another type. But that’s probably about it. Nuno Gonçalves Pedro Just to be clear, all these transformations we’re seeing isn’t to say just hardware is back, right? It’s not just hardware. There’s physicality. The buildings are coming back, right? It’s full stack. Software is here. That’s why everything is happening. Policy is here. Finance is here. It’s a little bit like the name of the movie, right? Everything everywhere all at once. Everything’s happening. It was in some ways driven by the upper stacks, by the app layers, by the platform layers. But now we need new infrastructure. We need more infrastructure. We need it very, very quickly. We need it today. We’re already lacking in it. Semiconductors: compute is the new oil Maybe that’s a good segue into the first piece of the whole infrastructure thing that’s driving now the most valuable company in the world, NVIDIA, which is semiconductors. Semiconductors are driving compute. Semis are the foundation of infrastructure as a compute. Everyone needs it for every thing, for every activity, not just for compute, but even for sensors, for actuators, everything else. That’s the beginning of it all. Semiconductor is one of the key pieces around the infrastructure stack that’s being built at scale at this moment in time. Bertrand Schmitt Yes. What’s interesting is that if we look at the market gap of Semis versus software as a service, cloud companies, there has been a widening gap the past year. I forgot the exact numbers, but we were talking about plus 20, 25% for Semis in term of market gap and minus 5, minus 10 for SaaS companies. That’s another trend that’s happening. Why is this happening? One, because semiconductors are core to the AI build-up, you cannot go around without them. But two, it’s also raising a lot of questions about the durability of the SaaS, a software-as-a-service business model. Because if suddenly we have better AI, and that’s all everyone is talking about to justify the investment in AI, that it keeps getting better, and it keeps improving, and it’s going to replace your engineers, your software engineers. Then maybe all of this moat that software companies built up over the years or decades, sometimes, might unravel under the pressure of newly coded, newly built, cheaper alternatives built from the ground up with AI support. It’s not just that, yes, semiconductors are doing great. It’s also as a result of that AI underlying trend that software is doing worse right now. Nuno Gonçalves Pedro At the end of the day, this foundational piece of infrastructure, semiconductor, is obviously getting manifest to many things, fabrication, manufacturing, packaging, materials, equipment. Everything’s being driven, ASML, etc. There are all these different players around the world that are having skyrocket valuations now, it’s because they’re all part of the value chain. Just to be very, very clear, there’s two elements of this that I think are very important for us to remember at this point in time. One, it’s the entire value chains are being shifted. It’s not just the chips that basically lead to computing in the strict sense of it. It’s like chips, for example, that drive, for example, network switching. We’re going to talk about networking a bit, but you need chips to drive better network switching. That’s getting revolutionised as well. For example, we have an investment in that space, a company called the eridu.ai, and they’re revolutionising one of the pieces around that stack. Second part of the puzzle, so obviously, besides the holistic view of the world that’s changing in terms of value change, the second piece of the puzzle is, as we discussed before, there’s industrial policy. We already mentioned the CHIPS Act, which is something, for example, that has been done in the US, which I think is 52 billion in incentives across a variety of things, grants, loans, and other mechanisms to incentivise players to scale capacity quick and to scale capacity locally in the US. One of the effects of that now is obviously we had the TSMC, US expansion with a factory here in the US. We have other levels of expansion going on with Intel, Samsung, and others that are happening as we speak. Again, it’s this two by two. It’s market forces that drive the need for fundamental shifts in the value chain. On the other industrial policy and actual money put forward by states, by governments, by entities that want to revolutionise their own local markets. Bertrand Schmitt Yes. When you talk about networking, it makes me think about what NVIDIA did more than six years ago when they acquired Mellanox. At the time, it was largest acquisition for NVIDIA in 2019, and it was networking for the data center. Not networking across data center, but inside the data center, and basically making sure that your GPUs, the different computers, can talk as fast as possible between each of them. I think that’s one piece of the puzzle that a lot of companies are missing, by the way, about NVIDIA is that they are truly providing full systems. They are not just providing a GPU. Some of their competitors are just providing GPUs. But NVIDIA can provide you the full rack. Now, they move to liquid-cool computing as well. They design their systems with liquid cooling in mind. They have a very different approach in the industry. It’s a systematic system-level approach to how do you optimize your data center. Quite frankly, that’s a bit hard to beat. Nuno Gonçalves Pedro For those listening, you’d be like, this is all very different. Semiconductors, networking, energy, manufacturing, this is all different. Then all of a sudden, as Bertrand is saying, well, there are some players that are acting across the stack. Then you see in the same sentence, you’re talking about nuclear power in Microsoft or nuclear power in Google, and you’re like, what happened? Why are these guys in the same sentence? It’s like they’re tech companies. Why are they talking about energy? It’s the nature of that. These ecosystems need to go hand in hand. The value chains are very deep. For you to actually reap the benefits of more and more, for example, semiconductor availability, you have to have better and better networking connectivity, and you have to have more and more energy at lower and lower costs, and all of that. All these things are intrinsically linked. That’s why you see all these big tech companies working across stack, NVIDIA being a great example of that in trying to create truly a systems approach to the world, as Bertrand was mentioning. Networking & connectivity: digital highways get rebuilt On the networking and connectivity side, as we said, we had a lot of fibre that was put down, etc, but there’s still more build-out needs to be done. 5G in terms of its densification is still happening. We’re now starting to talk, obviously, about 6G. I’m not sure most telcos are very happy about that because they just have been doing all this CapEx and all this deployment into 5G, and now people already started talking about 6G and what’s next. Obviously, data center interconnect is quite important, and all the hubbing that needs to happen around data centers is very, very important. We are seeing a lot movements around connectivity that are particularly important. Network gear and the emergence of players like Broadcom in terms of the semiconductor side of the fence, obviously, Cisco, Juniper, Arista, and others that are very much present in this space. As I said, we made an investment on the semiconductor side of networking as well, realizing that there’s still a lot of bottlenecks happening there. But obviously, the networking and connectivity stack still needs to be built at all levels within the data centers, outside of the data centers in terms of last mile, across the board in terms of fibre. We’re seeing a lot of movements still around the space. It’s what connects everything. At the end of the day, if there’s too much latency in these systems, if the bandwidths are not high enough, then we’re going to have huge bottlenecks that are going to be put at the table by a networking providers. Obviously, that doesn’t help anyone. If there’s a button like anywhere, it doesn’t work. All of this doesn’t work. Bertrand Schmitt Yes. Interestingly enough, I know we said for this episode, we not talk too much about space, but when you talk about 6G, it make me think about, of course, Starlink. That’s really your last mile delivery that’s being built as well. It’s a massive investment. We’re talking about thousands of satellites that are interconnected between each other through laser system. This is changing dramatically how companies can operate, how individuals can operate. For companies, you can have great connectivity from anywhere in the world. For military, it’s the same. For individuals, suddenly, you won’t have dead space, wide zones. This is also a part of changing how we could do things. It’s quite important even in the development of AI because, yes, you can have AI at the edge, but that interconnect to the rest of the system is quite critical. Having that availability of a network link, high-quality network link from anywhere is a great combo. Nuno Gonçalves Pedro Then you start seeing regions of the world that want to differentiate to attract digital nomads by saying, “We have submarine cables that come and hub through us, and therefore, our connectivity is amazing.” I was just in Madeira, and they were talking about that in Portugal. One of the islands of Portugal. We have some Marine cables. You have great connectivity. We’re getting into that discussion where people are like, I don’t care. I mean, I don’t know. I assume I have decent connectivity. People actually care about decent connectivity. This discussion is not just happening at corporate level, at enterprise level? Etc. Even consumers, even people that want to work remotely or be based somewhere else in the world. It’s like, This is important Where is there a great connectivity for me so that I can have access to the services I need? Etc. Everyone becomes aware of everything. We had a cloud flare mishap more recently that the CEO had to jump online and explain deeply, technically and deeply, what happened. Because we’re in their heads. If Cloudflare goes down, there’s a lot of websites that don’t work. All of this, I think, is now becoming du jour rather than just an afterthought. Maybe we’ll think about that in the future. Bertrand Schmitt Totally. I think your life is being changed for network connectivity, so life of individuals, companies. I mean, everything. Look at airlines and ships and cruise ships. Now is the advent of satellite connectivity. It’s dramatically changing our experience. Nuno Gonçalves Pedro Indeed. Energy: rebuilding the power stack (not just renewables) Moving maybe to energy. We’ve talked about energy quite a bit in the past. Maybe we start with the one that we didn’t talk as much, although we did mention it, which was, let’s call it the fossil infrastructure, what’s happening around there. Everyone was saying, it’s all going to be renewables and green. We’ve had a shift of power, geopolitics. Honestly, I the writing was on the wall that we needed a lot more energy creation. It wasn’t either or. We needed other sources to be as efficient as possible. Obviously, we see a lot of work happening around there that many would have thought, Well, all this infrastructure doesn’t matter anymore. Now we’re seeing LNG terminals, pipelines, petrochemical capacity being pushed up, a lot of stuff happening around markets in terms of export, and not only around export, but also around overall distribution and increases and improvements so that there’s less leakage, distribution of energy, etc. In some ways, people say, it’s controversial, but it’s like we don’t have enough energy to spare. We’re already behind, so we need as much as we can. We need to figure out the way to really extract as much as we can from even natural resources, which In many people’s mind, it’s almost like blasphemous to talk about, but it is where we are. Obviously, there’s a lot of renaissance also happening on the fossil infrastructure basis, so to speak. Bertrand Schmitt Personally, I’m ecstatic that there is a renaissance going regarding what is called fossil infrastructure. Oil and gas, it’s critical to humanity well-being. You never had growth of countries without energy growth and nothing else can come close. Nuclear could come close, but it takes decades to deploy. I think it’s great. It’s great for developed economies so that they do better, they can expand faster. It’s great for third-world countries who have no realistic other choice. I really don’t know what happened the past 10, 15 years and why this was suddenly blasphemous. But I’m glad that, strangely, thanks to AI, we are back to a more rational mindset about energy and making sure we get efficient energy where we can. Obviously, nuclear is getting a second act. Nuno Gonçalves Pedro I know you would be. We’ve been talking about for a long time, and you’ve been talking about it in particular for a very long time. Bertrand Schmitt Yes, definitely. It’s been one area of interest of mine for 25 years. I don’t know. I’ve been shocked about what happened in Europe, that willingness destruction of energy infrastructure, especially in Germany. Just a few months ago, they keep destroying on live TV some nuclear station in perfect working condition and replacing them with coal. I’m not sure there is a better definition of insanity at this stage. It looks like it’s only the Germans going that hardcore for some reason, but at least the French have stopped their program of decommissioning. America, it seems to be doing the same, so it’s great. On top of it, there are new generations that could be put to use. The Chinese are building up a very large nuclear reactor program, more than 100 reactors in construction for the next 10 years. I think everybody has to catch up because at some point, this is the most efficient energy solution. Especially if you don’t build crazy constraints around the construction of these nuclear reactors. If we are rational about permits, about energy, about safety, there are great things we could be doing with nuclear. That might be one of the only solution if we want to be competitive, because when energy prices go down like crazy, like in China, they will do once they have reach delivery of their significant build-up of nuclear reactors, we better be ready to have similar options from a cost perspective. Nuno Gonçalves Pedro From the outside, at the very least, nuclear seems to be probably in the energy one of the areas that’s more being innovated at this moment in time. You have startups in the space, you have a lot really money going into it, not just your classic industrial development. That’s very exciting. Moving maybe to the carbonization and what’s happening. The CCUS, and for those who don’t know what it is, carbon capture, utilization, and storage. There’s a lot of stuff happening around that space. That’s the area that deals with the ability to capture CO₂ emissions from industrial sources and/or the atmosphere and preventing their release. There’s a lot of things happening in that space. There’s also a lot of things happening around hydrogen and geothermal and really creating the ability to storage or to store, rather, energy that then can be put back into the grids at the right time. There’s a lot of interesting pieces happening around this. There’s some startup movement in the space. It’s been a long time coming, the reuse of a lot of these industrial sources. Not sure it’s as much on the news as nuclear, and oil and gas, but certainly there’s a lot of exciting things happening there. Bertrand Schmitt I’m a bit more dubious here, but I think geothermal makes sense if it’s available at reasonable price. I don’t think hydrogen technology has proven its value. Concerning carbon capture, I’m not sure how much it’s really going to provide in terms of energy needs, but why not? Nuno Gonçalves Pedro Fuels niche, again, from the outside, we’re not energy experts, but certainly, there are movements in the space. We’ll see what’s happening. One area where there’s definitely a lot of movement is this notion of grid and storage. On the one hand, that transmission needs to be built out. It needs to be better. We’ve had issues of blackouts in the US. We’ve had issues of blackouts all around the world, almost. Portugal as well, for a significant part of the time. The ability to work around transmission lines, transformers, substations, the modernization of some of this infrastructure, and the move forward of it is pretty critical. But at the other end, there’s the edge. Then, on the edge, you have the ability to store. We should have, better mechanisms to store energy that are less leaky in terms of energy storage. Obviously, there’s a lot of movement around that. Some of it driven just by commercial stuff, like Tesla a lot with their storage stuff, etc. Some of it really driven at scale by energy players that have the interest that, for example, some of the storage starts happening closer to the consumption as well. But there’s a lot of exciting things happening in that space, and that is a transformative space. In some ways, the bottleneck of energy is also around transmission and then ultimately the access to energy by homes, by businesses, by industries, etc. Bertrand Schmitt I would say some of the blackout are truly man-made. If I pick on California, for instance. That’s the logical conclusion of the regulatory system in place in California. On one side, you limit price that energy supplier can sell. The utility company can sell, too. On the other side, you force them to decommission the most energy-efficient and least expensive energy source. That means you cap the revenues, you make the cost increase. What is the result? The result is you cannot invest anymore to support a grid and to support transmission. That’s 100% obvious. That’s what happened, at least in many places. The solution is stop crazy regulations that makes no economic sense whatsoever. Then, strangely enough, you can invest again in transmission, in maintenance, and all I love this stuff. Maybe another piece, if we pick in California, if you authorize building construction in areas where fires are easy, that’s also a very costly to support from utility perspective, because then you are creating more risk. You are forced buy the state to connect these new constructions to the grid. You have more maintenance. If it fails, you can create fire. If you create fire, you have to pay billions of fees. I just want to highlight that some of this is not a technological issue, is not per se an investment issue, but it’s simply the result of very bad regulations. I hope that some will learn, and some change will be made so that utilities can do their job better. Nuno Gonçalves Pedro Then last, but not the least, on the energy side, energy is becoming more and more digitally defined in some ways. It’s like the analogy to networks that they’ve become more, and more software defined, where you have, at the edge is things like smart meters. There’s a lot of things you can do around the key elements of the business model, like dynamic pricing and other elements. Demand response, one of the areas that I invested in, I invest in a company called Omconnect that’s now merged with what used to be Google Nest. Where to deploy that ability to do demand response and also pass it to consumers so that consumers can reduce their consumption at times where is the least price effective or the less green or the less good for the energy companies to produce energy. We have other things that are happening, which are interesting. Obviously, we have a lot more electric vehicles in cars, etc. These are also elements of storage. They don’t look like elements of storage, but the car has electricity in it once you charge it. Once it’s charged, what do you do with it? Could you do something else? Like the whole reverse charging piece that we also see now today in mobile devices and other edge devices, so to speak. That also changes the architecture of what we’re seeing around the space. With AI, there’s a lot of elements that change around the value chain. The ability to do forecasting, the ability to have, for example, virtual power plans because of just designated storage out there, etc. Interesting times happening. Not sure all utilities around the world, all energy providers around the world are innovating at the same pace and in the same way. But certainly just looking at the industry and talking to a lot of players that are CEOs of some of these companies. That are leading innovation for some of these companies, there’s definitely a lot more happening now in the last few years than maybe over the last few decades. Very exciting times. Bertrand Schmitt I think there are two interesting points in what you say. Talking about EVs, for instance, a Cybertruck is able to send electricity back to your home if your home is able to receive electricity from that source. Usually, you have some changes to make to the meter system, to your panel. That’s one great way to potentially use your car battery. Another piece of the puzzle is that, strangely enough, most strangely enough, there has been a big push to EV, but at the same time, there has not been a push to provide more electricity. But if you replace cars that use gasoline by electric vehicles that use electricity, you need to deliver more electricity. It doesn’t require a PhD to get that. But, strangely enough, nothing was done. Nuno Gonçalves Pedro Apparently, it does. Bertrand Schmitt I remember that study in France where they say that, if people were all to switch to EV, we will need 10 more nuclear reactors just on the way from Paris to Nice to the Côte d’Azur, the French Rivière, in order to provide electricity to the cars going there during the summer vacation. But I mean, guess what? No nuclear plant is being built along the way. Good luck charging your vehicles. I think that’s another limit that has been happening to the grid is more electric vehicles that require charging when the related infrastructure has not been upgraded to support more. Actually, it has quite the opposite. In many cases, we had situation of nuclear reactors closing down, so other facilities closing down. Obviously, the end result is an increase in price of electricity, at least in some states and countries that have not sold that fully out. Nuno Gonçalves Pedro Manufacturing: the return of “atoms + bits” Moving to manufacturing and what’s happening around manufacturing, manufacturing technology. There’s maybe the case to be made that manufacturing is getting replatformed, right? It’s getting redefined. Some of it is very obvious, and it’s already been ongoing for a couple of decades, which is the advent of and more and more either robotic augmented factories or just fully roboticized factories, where there’s very little presence of human beings. There’s elements of that. There’s the element of software definition on top of it, like simulation. A lot of automation is going on. A lot of AI has been applied to some lines in terms of vision, safety. We have an investment in a company called Sauter Analytics that is very focused on that from the perspective of employees and when they’re still humans in the loop, so to speak, and the ability to really figure out when people are at risk and other elements of what’s happening occurring from that. But there’s more than that. There’s a little bit of a renaissance in and of itself. Factories are, initially, if we go back a couple of decades ago, factories were, and manufacturing was very much defined from the setup. Now it’s difficult to innovate, it’s difficult to shift the line, it’s difficult to change how things are done in the line. With the advent of new factories that have less legacy, that have more flexible systems, not only in terms of software, but also in terms of hardware and robotics, it allows us to, for example, change and shift lines much more easily to different functions, which will hopefully, over time, not only reduce dramatically the cost of production. But also increase dramatically the yield, it increases dramatically the production itself. A lot of cool stuff happening in that space. Bertrand Schmitt It’s exciting to see that. One thing this current administration in the US has been betting on is not just hoping for construction renaissance. Especially on the factory side, up of factories, but their mindset was two things. One, should I force more companies to build locally because it would be cheaper? Two, increase output and supply of energy so that running factories here in the US would be cheaper than anywhere else. Maybe not cheaper than China, but certainly we get is cheaper than Europe. But three, it’s also the belief that thanks to AI, we will be able to have more efficient factories. There is always that question, do Americans to still keep making clothes, for instance, in factories. That used to be the case maybe 50 years ago, but this move to China, this move to Bangladesh, this move to different places. That’s not the goal. But it can make sense that indeed there is ability, thanks to robots and AI, to have more automated factories, and these factories could be run more efficiently, and as a result, it would be priced-competitive, even if run in the US. When you want to think about it, that has been, for instance, the South Korean playbook. More automated factories, robotics, all of this, because that was the only way to compete against China, which has a near infinite or used to have a near infinite supply of cheaper labour. I think that all of this combined can make a lot of sense. In a way, it’s probably creating a perfect storm. Maybe another piece of the puzzle this administration has been working on pretty hard is simplifying all the permitting process. Because a big chunk of the problem is that if your permitting is very complex, very expensive, what take two years to build become four years, five years, 10 years. The investment mass is not the same in that situation. I think that’s a very important part of the puzzle. It’s use this opportunity to reduce regulatory state, make sure that things are more efficient. Also, things are less at risk of bribery and fraud because all these regulations, there might be ways around. I think it’s quite critical to really be careful about this. Maybe last piece of the puzzle is the way accounting works. There are new rules now in 2026 in the US where you can fully depreciate your CapEx much faster than before. That’s a big win for manufacturing in the US. Suddenly, you can depreciate much faster some of your CapEx investment in manufacturing. Nuno Gonçalves Pedro Just going back to a point you made and then moving it forward, even China, with being now probably the country in the world with the highest rate of innovation and take up of industrial robots. Because of demographic issues a little bit what led Japan the first place to be one of the real big innovators around robots in general. The fact that demographics, you’re having an aging population, less and less children. How are you going to replace all these people? Moving that into big winners, who becomes a big winner in a space where manufacturing is fundamentally changing? Obviously, there’s the big four of robots, which is ABB, FANUC, KUKA, and Yaskawa. Epson, I think, is now in there, although it’s not considered one of the big four. Kawasaki, Denso, Universal Robots. There’s a really big robotics, industrial robotic companies in the space from different origins, FANUC and Yaskawa, and Epson from Japan, KUKA from Germany, ABB from Switzerland, Sweden. A lot of now emerging companies from China, and what’s happening in that space is quite interesting. On the other hand, also, other winners will include players that will be integrators that will build some of the rest of the infrastructure that goes into manufacturing, the Siemens of the world, the Schneider’s, the Rockwell’s that will lead to fundamental industrial automation. Some big winners in there that whose names are well known, so probably not a huge amount of surprises there. There’s movements. As I said, we’re still going to see the big Chinese players emerging in the world. There are startups that are innovating around a lot of the edges that are significant in this space. We’ll see if this is a space that will just be continued to be dominated by the big foreign robotics and by a couple of others and by the big integrators or not. Bertrand Schmitt I think you are right to remind about China because China has been moving very fast in robotics. Some Chinese companies are world-class in their use of robotics. You have this strange mix of some older industries where robotics might not be so much put to use and typically state-owned, versus some private companies, typically some tech companies that are reconverting into hardware in some situation. That went all in terms of robotics use and their demonstrations, an example of what’s happening in China. Definitely, the Chinese are not resting. Everyone smart enough is playing that game from the Americans, the Chinese, Japanese, the South Koreans. Nuno Gonçalves Pedro Exciting things are manufacturing, and maybe to bring it all together, what does it mean for all the big players out there? If we talk with startups and talk about startups, we didn’t mention a ton of startups today, right? Maybe incumbent wind across the board. But on a more serious note, we did mention a few. For example, in nuclear energy, there’s a lot of startups that have been, some of them, incredibly well-funded at this moment in time. Wrap: what it means for startups, incumbents, and investors There might be some big disruptions that will come out of startups, for example, in that space. On the chipset side, we talked about the big gorillas, the NVIDIAs, AMDs, Intel, etc., of the world. But we didn’t quite talk about the fact that there’s a lot of innovation, again, happening on the edges with new players going after very large niches, be it in networking and switching. Be it in compute and other areas that will need different, more specialized solutions. Potentially in terms of compute or in terms of semiconductor deployments. I think there’s still some opportunities there, maybe not to be the winner takes all thing, but certainly around a lot of very significant niches that might grow very fast. Manufacturing, we mentioned the same. Some of the incumbents seem to be in the driving seat. We’ll see what happens if some startups will come in and take some of the momentum there, probably less likely. There are spaces where the value chains are very tightly built around the OEMs and then the suppliers overall, classically the tier one suppliers across value chains. Maybe there is some startup investment play. We certainly have played in the couple of the spaces. I mentioned already some of them today, but this is maybe where the incumbents have it all to lose. It’s more for them to lose rather than for the startups to win just because of the scale of what needs to be done and what needs to be deployed. Bertrand Schmitt I know. That’s interesting point. I think some players in energy production, for instance, are moving very fast and behaving not only like startups. Usually, it’s independent energy suppliers who are not kept by too much regulations that get moved faster. Utility companies, as we just discussed, have more constraints. I would like to say that if you take semiconductor space, there has been quite a lot of startup activities way more than usual, and there have been some incredible success. Just a few weeks ago, Rock got more or less acquired. Now, you have to play games. It’s not an outright acquisition, but $20 billion for an IP licensing agreement that’s close to an acquisition. That’s an incredible success for a company. Started maybe 10 years ago. You have another Cerebras, one of the competitor valued, I believe, quite a lot in similar range. I think there is definitely some activity. It’s definitely a different game compared to your software startup in terms of investment. But as we have seen with AI in general, the need for investment might be larger these days. Yes, it might be either traditional players if they can move fast enough, to be frank, because some of them, when you have decades of being run as a slow-moving company, it’s hard to change things. At the same time, it looks like VCs are getting bigger. Wall Street is getting more ready to finance some of these companies. I think there will be opportunities for startups, but definitely different types of startups in terms of profile. Nuno Gonçalves Pedro Exactly. From an investor standpoint, I think on the VC side, at least our core belief is that it’s more niche. It’s more around big niches that need to be fundamentally disrupted or solutions that require fundamental interoperability and integration where the incumbents have no motivation to do it. Things that are a little bit more either packaging on the semiconductor side or other elements of actual interoperability. Even at the software layer side that feeds into infrastructure. If you’re a growth investor, a private equity investor, there’s other plays that are available to you. A lot of these projects need to be funded and need to be scaled. Now we’re seeing projects being funded even for a very large, we mentioned it in one of the previous episodes, for a very large tech companies. When Meta, for example, is going to the market to get funding for data centers, etc. There’s projects to be funded there because just the quantum and scale of some of these projects, either because of financial interest for specifically the tech companies or for other reasons, but they need to be funded by the market. There’s other place right now, certainly if you’re a larger private equity growth investor, and you want to come into the market and do projects. Even public-private financing is now available for a lot of things. Definitely, there’s a lot of things emanating that require a lot of funding, even for large-scale projects. Which means the advent of some of these projects and where realization is hopefully more of a given than in other circumstances, because there’s actual commercial capital behind it and private capital behind it to fuel it as well, not just industrial policy and money from governments. Bertrand Schmitt There was this quite incredible stat. I guess everyone heard about that incredible growth in GDP in Q3 in the US at 4.4%. Apparently, half of that growth, so around 2.2% point, has been coming from AI and related infrastructure investment. That’s pretty massive. Half of your GDP growth coming from something that was not there three years ago or there, but not at this intensity of investment. That’s the numbers we are talking about. I’m hearing that there is a good chance that in 2026, we’re talking about five, even potentially 6% GDP growth. Again, half of it potentially coming from AI and all the related infrastructure growth that’s coming with AI. As a conclusion for this episode on infrastructure, as we just said, it’s not just AI, it’s a whole stack, and it’s manufacturing in general as well. Definitely in the US, in China, there is a lot going on. As we have seen, computing needs connectivity, networks, need power, energy and grid, and all of this needs production capacity and manufacturing. Manufacturing can benefit from AI as well. That way the loop is fully going back on itself. Infrastructure is the next big thing. It’s an opportunity, probably more for incumbents, but certainly, as usual, with such big growth opportunities for startups as well. Thank you, Nuno. Nuno Gonçalves Pedro Thank you, Bertrand.

Claire chatted to Mark Gray from Universal Robots about their lightweight robotic arms that work alongside humans. Mark Gray has worked in automation for the last 30 years, first involved in machine vision and robotics and finally collaborative robots or cobots. As country manager, Mark was the first person to work for Universal Robots in the UK and has carried out projects with many research institutes such as the Advanced Manufacturing Research Centre (AMRC), The Manufacturing Technology Centre (MTC), the National Robotarium, and Bristol Robotics Lab. Join the Robot Talk community on Patreon: https://www.patreon.com/ClaireAsher  

In this episode, Kristian Kassow, co-founder of Universal Robots and managing director of Kassow Robots, discusses the evolution of collaborative robots. He shares insights on the development of seven-axis cobots, the advantages of built-in torque sensors, and the integration of cobots with mobile robots. Kristian also highlights the role of partnerships in expanding Kassow Robots' global reach and the future of collaborative robotics in various industries. Learn more about Kassow Robotics: https://www.kassowrobots.com/ ### Steve Crowe and Mike Oitzman also cover the news of the week. Including Sunday Robotics new Memo humanoid: https://www.sunday.ai/ ### Keep up to date on the latest robotics news at The Robot Report and Automated Warehouse: https://www.therobotreport.com/ https://www.automatedwarehouseonline.com

In this episode of Arm Viewpoints, Brian Fuller talks with Anders Beck, VP of Innovation and Strategy at Universal Robots, part of Teradyne Robotics. They explore how AI is transforming robotics—from flexible cobots and mobile robots to AI-powered pallet handling and no-code automation. Anders shares why traditional industrial robotics has plateaued, what “physical AI” means for the next wave of automation, and how Arm's edge computing technology is powering this revolution on the factory floor and beyond.

On the show this week: Dustin Vaughan, VP of R&D for Robotics at Ascensus, discusses the strategic direction and priorities of his team, focusing on the development of the Luna platform. Vaughan highlights the importance of performance-guided surgery and the integration of augmented intelligence to enhance clinical support systems. Vaughan also addresses the challenges of navigating regulatory landscapes and cybersecurity concerns while emphasizing the potential of robotics and automation in the medical field. He expresses optimism about the future of surgical robotics, particularly in pediatric care, and the role of AI in improving surgical outcomes. The conversation underscores the commitment to delivering innovative, cost-effective solutions that enhance patient care and operational efficiency in the operating room. Also featured during the news section is Anders Beck, VP of Technology, Universal Robots, with a manufacturer's perspective on the new collaborative robotics standards changes.

Primeramente sería interesante habla de la definición de inteligencia y una explicación podría ser: “La inteligencia se define como la capacidad de entender, comprender y aplicar conocimientos, razonar, resolver problemas y adaptarse al entorno.” Tener en cuenta que en todos los mitos creacionistas siempre que se le da al hombre el alito de vida se le da la inteligencia. En el Génesis, Dios sopla en la nariz de Adán y este se convierte en un “alma viviente”. Pero ese aliento no es solo oxígeno...es inteligencia, capacidad de nombrar las cosas, de distinguir, de elegir. Si eso es inteligencia ¿ la IA que es? Una definición que nos dan es; Disciplina científica que se ocupa de crear programas informáticos que ejecutan operaciones comparables a las que realiza la mente humana. Como el aprendizaje y el razonamiento lógico.Pero hay dos capacidades críticas que siguen siendo exclusivas de los seres humanos: la auténtica invención y la creatividad, por eso la verdadera AGI todavía no la tenemos ( Me refiero al comun de los mortales, los dueños del cortijo no lo sabemos) Otra cosa bien distinta es el conocimiento, que puede ha veces también traer problemas, como veremos más adelante. Y siempre un conocimiento superior da ventaja a aquel que lo posee sobre el que no. El Poder, detrás del velo de la IA y de la Agenda Transhumanista. No es una simple mejora tecnológica, sino un proyecto milenario y oscuro para someter a la humanidad a un control total, utilizando la programación mental y los rituales como herramientas fundamentales para transformar a los humanos en seres dóciles y previsibles. El transhumanismo no busca mejorar a la humanidad, sino "restar", es decir, crear una infrahumanidad funcional y dócil. En lugar de sumar, el proyecto consistiría en una especie de ingeniería inversa: tomar lo mejor del ser humano (la inteligencia colectiva, la creatividad, el libre albedrío) y limitarlo para crear un "esclavo más eficaz". Es un proyecto de dos caras. Mientras una élite minoritaria se convierte en suprahumanidad (eugenismo), la mayoría de la población es degenerada a una condición de infrahumanidad (disgenismo), convirtiéndose en una especie de zombis que alimentan el sistema con su energía vital. Robotización del humano frente a humanización del robot. la cuestión crucial no es la humanización del robot (es decir, hacer que los robots parezcan humanos), sino la robotización del humano. Esta robotización no significa parecerse a una máquina, sino comportarse de una manera "inhumana": sin libertad, sin sentimientos, sin creatividad, sin preguntarse por el sentido de la vida. Hablar de IA es hablar de una tecnología clave y disruptiva que va a alterar numerosos aspectos de nuestras vidas. Pero hay que dejar algo claro: esta tecnología está siendo manejada y dosificada por el poder real, los verdaderos amos del mundo. No sabemos quiénes son, pero sí sabemos que no son las marionetas que nos ponen en escena. Sabemos, eso sí, que son los mismos que manejan la liquidez del sistema monetario internacional, creando ciclos de crisis y orden de los que siempre sacan provecho. Existe un poder oculto, también conocido como “Estado profundo”, que canaliza de forma importante los flujos emocionales y energéticos de la sociedad. Utilizan técnicas ancestrales y conocimientos transmitidos entre iniciados, que se centran, entre otras cosas, en conseguir el control social de la forma más práctica y económica posible para ellos. A la vista de todos, usan a líderes y estrellas como arquetipos para los no iniciados, desde presidentes hasta directivos de grandes empresas. Al mismo tiempo, en el "obscenario" y apartados de la vista de todos, realizan otros rituales donde lo sincronizan todo según sus creencias, donde siempre hablan de la LUZ, aquella que robó Prometeo y mirar el infierno que le tocó padecer después de adquirir el conocimiento que los dioses no querían que tuviera. Lo que es crucial entender es que estas tecnologías tan relevantes están siendo planificadas, manejadas y dosificadas desde el mismo centro del poder. Nos hacen creer que hay diferentes empresas que compiten entre sí por el mercado, pero esa disputa escenificada no es real. Todas trabajan para los mismos amos, con un objetivo ya marcado: avanzar en su agenda a medida que la sociedad normaliza sus ideas. Este es el primer punto clave: la relación entre la IA y el transhumanismo. Debemos abordar este concepto porque la fusión hombre-máquina es uno de los objetivos de la agenda de control. Buscan crear un tipo de “ser híbrido”, sin alma y fácil de controlar. Un futuro distópico que podría cumplirse si no nos oponemos a ello. El momento crucial para la consecución de sus objetivos sería cuando, una vez normalizado el asunto, consigan fabricar "humanos" mediante vientres artificiales. Con esto, tendrían solucionado el tema del control social. Podrían hacer "impresiones de andróginos" en la medida que los necesiten, igual que emiten el dinero que quieren. Serían personas desarraigadas, sin familia, sin descendencia y quizás incluso sin genitales. Su inteligencia estaría genéticamente limitada según la tarea que deban desempeñar. Podrían incluso crear emisiones especiales de híbridos con electrónica insertada en su organismo, conectados a redes y potenciados en sus capacidades, lo que supondría un grado de control inimaginable. Pero esperemos que la sociedad reaccione y evite estos peligros. Ahora que hemos enmarcado la situación, es hora de pasar a los orígenes de la inteligencia artificial. La historia oficial nos suele presentar estos hitos como hechos aislados, para que no entendamos las conexiones ni miremos debajo de la alfombra. Pero si descodificamos la historia, veremos que la idea de la IA no es un invento reciente, sino que tiene raíces profundas en la filosofía, los mitos y las tradiciones ancestrales. La história podría empezar perfectamente con la historia de Adán y Eva y su expulsión del paraiso por la adquisición del conocimiento prohibido."Si comes de este fruto, serás como Dios. Conocerás el bien y el mal." Dijo la serpiente y Adan y eva al igual que Prometeo también acabaron castigados por Dios. En Génesis 3:22, se dice: “Ahora el hombre ha venido a ser como uno de nosotros, al conocer el bien y el mal. Que no extienda ahora su mano y tome también del árbol de la vida, y coma, y viva para siempre…”. ¿Qué tipo de conocimiento adquiere Eva? No se trata de conocimiento técnico o científico, sino algo más profundo y existencial: Conocimiento moral: la capacidad de distinguir entre el bien y el mal. Autoconciencia: al instante, Eva (y luego Adán) se da cuenta de que está desnuda. Esto implica vergüenza, intimidad, juicio propio. Libre albedrío: al desobedecer, ejerce una elección. Ya no es solo criatura, sino agente. Comer del fruto es adquirir la conciencia humana tal como la entendemos hoy: saber que uno existe, que puede decidir, y que sus actos tienen consecuencias. Las manzanas envenenadas🧙‍♀️ Blancanieves📖 Eva en el Edén🧪 Alan Turing (leyenda urbana) Se dice que murió tras comer una manzana envenenada con cianuro, aunque no está confirmado. Curiosamente, el logo de Apple con una manzana mordida ha alimentado esta teoría. 🎯 Guillermo Tell Obligado a disparar con una ballesta a una manzana colocada sobre la cabeza de su hijo. Aunque no estaba envenenada, el riesgo era mortal. Podríamos hablar de Talos el primer "androide" de la historia.Talos era un gigante de bronce, forjado por Hefesto (el dios herrero) por encargo de Zeus o de Minos, rey de Creta (según la versión). Tenía una única vena que recorría su cuerpo entero, sellada con un clavo o perno de bronce en el tobillo. En lugar de sangre, su cuerpo contenía "icor", el fluido vital de los dioses. En la edad media en el siglo XIIl el trabajo de Ramón Llull, conocido como el Ars Magna, puede considerarse un precursor conceptual de la inteligencia artificial. Mas adelante si hay tiempo hablaremos de él. En la alquimia, la idea de fabricar un "hombre artificial" o homúnculo fue explorada por figuras como Paracelso, quien describió procedimientos para su creación. Similarmente, los alquimistas islámicos investigaron el concepto de takwin, la creación artificial de vida. En Praga en el siglo XVI los judios hablan del Golem, criatura sin alma creada para servir al hombre. hecha de barro o arcilla y animada mediante palabras sagradas, la inserción de nombres divinos. Con el advenimiento del siglo XIX, estas visiones se trasladaron al ámbito de la ficción literaria. Obras como "Frankenstein" de Mary Shelley exploraron las implicaciones éticas de crear seres conscientes, mientras que "R.U.R." (Rossum's Universal Robots) de Karel Čapek, publicada en 1920, introdujo el término "robot" al léxico global, marcando un punto de inflexión en la conceptualización de las máquinas con capacidad de trabajo autónomo. Y aquí en este punto es cuando entramos en los años 50 son considerados el punto de partida oficial de la inteligencia artificial moderna. Aunque hubo ideas previas, fue en esa década cuando la IA empezó a tomar forma como disciplina científica. Aquí te dejo los hitos clave: 🔹 1950: Alan Turing y su famosa prueba Publica "Computing Machinery and Intelligence" y propone el Test de Turing, una forma de evaluar si una máquina puede pensar como un humano. 🔹 1956: Conferencia de Dartmouth Organizada por John McCarthy, quien acuñó el término "Inteligencia Artificial". Reunió a pioneros como Marvin Minsky y Claude Shannon para discutir cómo crear máquinas inteligentes. 🔹 Primeros modelos y algoritmos Se desarrollan los primeros perceptrones (redes neuronales simples) por Frank Rosenblatt en 1958. Se crean programas capaces de jugar a las damas o resolver teoremas matemáticos. 🧪 Aunque los avances eran limitados por la tecnología de la época, estos años sentaron las bases para todo lo que vino después: aprendizaje automático, redes neuronales profundas, procesamiento de lenguaje natural… ¡y hasta Hoy! Para empezar este recorrido, es fundamental detenernos en la figura de Ramon Llull, un filósofo, teólogo y cortesano del siglo XIII. Nacimiento: 1232, Palma de Mallorca, España. Fallecimiento: 1316, en el Mediterráneo. El trabajo de Llull, conocido como el Ars Magna, puede considerarse un precursor conceptual de la inteligencia artificial. Pero no es un conocimiento que se le ocurriera de la nada. Como buen cortesano y perteneciente a una buena familia, Llull era conocedor de saberes ancestrales recogidos en otras tradiciones, que simplemente se expresan de otra manera. La relación entre su trabajo y la IA moderna se basa en varios puntos clave. Para empezar, la mecanización del razonamiento. El Ars Magna partía de la premisa de que el razonamiento y la verdad podían descomponerse en principios básicos. Llull representaba estos conceptos con letras y los organizaba en figuras geométricas como círculos concéntricos que podían ser girados. El objetivo era combinar estos principios de forma sistemática para generar proposiciones lógicamente válidas, demostrando verdades de forma infalible. Esta idea de un sistema mecánico que genera conocimiento de forma automática a partir de reglas definidas es la base de los sistemas computacionales y de la IA. Es lo que podríamos llamar una "máquina lógica". En este sentido, la conexión de Llull con la Cábala y la gematría es evidente. El Ars Magna se basa en un sistema simbólico donde las letras tienen un significado profundo. Su método de combinar principios es comparable a las técnicas cabalísticas de gematría (la interpretación numérica de las letras) y la combinación de las letras del alfabeto hebreo para obtener conocimientos ocultos. La idea subyacente es la misma: que la verdad y la sabiduría están codificadas en los símbolos y pueden ser reveladas a través de su manipulación sistemática. Podríamos decir que Llull inventó el primer "hardware" de pensamiento simbólico, aunque su "software" fuera más filosófico que informático. Mecanización del razonamiento: El Ars Magna partía de la premisa de que el razonamiento y la verdad podían ser descompuestos en principios básicos. Llull representaba estos conceptos con letras y los organizaba en figuras geométricas (discos giratorios). El objetivo era combinar estos principios de forma sistemática para generar proposiciones lógicas válidas. Esta idea de un sistema mecánico que, a partir de reglas y principios definidos, genera conocimiento de forma automática, es la base de los sistemas computacionales y la IA moderna. Los Dignidades de Dios o Principios Absolutos: Representados por letras de la B a la K, Llull consideraba que estos eran atributos divinos universales y perfectos. Son: B - Bondad C - Grandeza D - Eternidad E - Poder F - Sabiduría G - Voluntad H - Virtud I - Verdad K - Gloria Principios Relativos: Estos conceptos representaban relaciones entre los principios absolutos y se usaban para generar proposiciones lógicas. Incluyen: Diferencia Concordancia Contrariedad Principio Medio Fin Mayoridad Igualdad Minoridad Al combinar estos principios de forma mecánica, Llull creía que se podía demostrar cualquier verdad de manera infalible, creando así la primera "máquina de pensar" de la historia. El concepto de combinatoria: La obra de Llull se fundamenta en el arte de la combinatoria, explorando todas las relaciones lógicas posibles entre los conceptos a través del movimiento de sus discos. Este enfoque es un antecedente directo de la computación y la IA, donde los algoritmos y programas informáticos no son más que un conjunto de instrucciones que combinan datos y operaciones de manera sistemática para resolver problemas. Lenguaje y símbolos artificiales: Llull creó un alfabeto artificial de nueve letras para representar y manipular conceptos. De manera similar, la IA se construye sobre lenguajes de programación, que son sistemas simbólicos con reglas precisas diseñados para que las máquinas puedan procesar información y ejecutar operaciones de forma estructurada. En resumen, aunque el Ars Magna no era una computadora en el sentido moderno, la visión de Llull de que el pensamiento podía ser mecanizado y manipulado a través de un sistema de símbolos y reglas combinatorias es un antecedente directo de los principios que rigen la inteligencia artificial. De hecho, su influencia fue reconocida por figuras posteriores como el filósofo y matemático Gottfried Leibniz, quien también se considera un pionero de la computación. Podríamos decir que Llull inventó el primer "hardware" de pensamiento simbólico, aunque su "software" fuera más filosófico que informático. La gracia de la historia es que él quería convencer a herejes y, sin saberlo, sentó las bases para que hoy una IA te esté respondiendo Tanto la Cábala como el Ars Magna se basan en un sistema simbólico donde las letras y los números tienen un significado profundo. El método de Llull para combinar sus principios es comparable a las técnicas cabalísticas de gematría (interpretación numérica de las letras) y la combinación de las letras del alfabeto hebreo para obtener conocimientos ocultos. La idea subyacente es que la verdad y la sabiduría están codificadas en los símbolos y pueden ser reveladas a través de su manipulación sistemática. En resumen podemos entrever que Llull como buen cortesano y perteneciente a una buena familia era conocedor de conocimientos ancestrales recogidos en otras tradiciones y simplemente se expresan de otra manera. ………………………………………………………………………………………. Cleón la contracción entre clon y eón. Un eón es una unidad de tiempo geológico de escala extremadamente larga, utilizada para dividir la historia de la Tierra en los períodos más amplios. Representa miles de millones de años y es la división más grande en la escala de tiempo geológico, por encima de las eras, períodos, épocas y edades. Por ejemplo, la historia de la Tierra se divide en cuatro eones principales algunos de más de 2000 millones de años. Vivimos actualmente en el Fanerozoico que se traduce como "vida visible" o "vida evidente". Este término fue acuñado para describir el eón geológico que comenzó hace aproximadamente 541 millones de años Reglamento Europeo sobre Inteligencia Artificial (LA LEY 16665/2024) casualmente tiene un 666 ………………………………………………………………………………………. Hector, el webmaster del hilo rojo decía en un reciente programa sobre Palantir: “Palantir es el panóptico del siglo XXI. El ojo del gran hermano de Orwell.” El panoptico es un tipo de diseño que nos permite controlar un amplio espacio desde un único punto sin ser detectados. Se trata de la garita del vigilante en medio de la prisión, de la torre de control. El filósofo utilitarista Jeremy Bentham fue su diseñador, Hector nos mostró como este señor era también masón y estaba relacionado al mas alto nivel. Les dejaremos el enlace al video en la descripción del podcast. En un anterior programa de enero donde en el mismo canal analizaron que es Palantir comprobaba yo para preparar este podcast que TODAS las fuentes que presentaba @ElHiloRojoTV en su video de enero de 2025 habian DESAPARECIDO. Estamos hablando de artículos publicados en Forbes, The Guardian, Bloomberg, Financial Times, CNBC o incluso el propio MIT. En todos los casos el enlace original ha desaparecido, ojo, no digo que haya desaparecido el artículo en sí, pero han cortado el enlace original. Leo textualmente de una descripción del Hilo rojo sobre lo que es Palantir añadiendo yo algunas cosas: Creada en 2003 con el apoyo de In-Q-Tel, el fondo de inversión de la CIA, Palantir se diseñó para procesar grandes cantidades de información y hacer conexiones invisibles para el ojo humano. Su fundador, Peter Thiel, también cofundador de PayPal, ha estado siempre en la intersección entre tecnología, poder y vigilancia global. Palantir no solo analiza datos, sino que los fusiona en tiempo real: redes sociales, correos electrónicos, transacciones bancarias y hasta movimientos físicos. ¿Os acordáis del PNR? Pues esto es aún mucho más intrusivo ya que muchísimas organizaciones y países han acordado compartir sus bases de datos con Palantir. ¿Qué significa esto? Una red de control total, donde cada actividad queda registrada, permitiendo a gobiernos y corporaciones predecir comportamientos y tomar decisiones basadas en modelos algorítmicos. Palantir es utilizada por el Pentágono, la NSA, la CIA, el FBI, Interpol y gobiernos europeos y latinoamericanos. También lo utilizan grandes empresas como bancos o multinacionales. Sus herramientas se usan en operaciones antiterroristas, control de fronteras, vigilancia de ciudadanos y hasta persecución de disidentes políticos. ¿Hasta qué punto este nivel de vigilancia está transformando las democracias en estados de control absoluto? Su software ha sido utilizado en conflictos como la guerra en Ucrania, ayudando a identificar objetivos estratégicos y a procesar inteligencia en tiempo real. Palantir convierte el Big Data en un arma de guerra: soldados equipados con dispositivos conectados a su red pueden recibir información detallada sobre el enemigo en segundos. ¿Estamos entrando en una era donde la guerra es digital antes que física? A medida que más gobiernos y empresas adoptan Palantir, los límites entre seguridad, privacidad y control social se vuelven borrosos. ¿Es Palantir una herramienta para el bien o el paso final hacia una sociedad hipervigilada? ………………………………………………………………………………………. Los origenes de Palantir están en la Oficina de Conciencia de la Información ( IAO ) fue establecida por la Agencia de Proyectos de Investigación Avanzada de Defensa de los Estados Unidos (DARPA) en enero de 2002 para reunir varios proyectos de DARPA centrados en la aplicación de la vigilancia y la tecnología de la información para rastrear y monitorear a terroristas y otras amenazas asimétricas a la seguridad nacional de los Estados Unidos mediante el logro de " Conciencia de la Información Total “ o en inglés "Total Information Awareness" (TIA). Sí. La TIA, la agencia secreta para la que trabajaban Mortadelo y Filemón ha existido. La IAO se creó después de que el almirante John Poindexter , ex asesor de seguridad nacional de los Estados Unidos del presidente Ronald Reagan , y el ejecutivo de SAIC Brian Hicks se acercaran al Departamento de Defensa de los EE. UU . con la idea de un programa de concientización sobre la información después de los ataques del 11 de septiembre de 2001. Querían reunir la mayor cantidad de información de la historia. Leemos en la wikipedia: “El 2 de agosto de 2002, Poindexter dio un discurso en DARPAtech 2002 titulado "Descripción general de la Oficina de Concienciación sobre la Información" en el que describió el programa TIA. Además del programa en sí, la participación de Poindexter como director de la IAO también generó inquietud entre algunos, ya que había sido condenado anteriormente por mentir al Congreso y alterar y destruir documentos relacionados con el caso Irán-Contra , aunque esas condenas fueron posteriormente revocadas con el argumento de que el testimonio utilizado en su contra estaba protegido.” ¿A que se dedicaba esta agencia? Veamos lo que nos dice la wikipedia: “Se logró mediante la creación de enormes bases de datos informáticas para recopilar y almacenar la información personal de todos los residentes de Estados Unidos, incluyendo correos electrónicos personales, redes sociales, registros de tarjetas de crédito, llamadas telefónicas, historiales médicos y muchas otras fuentes, sin necesidad de una orden de registro. La información se analizaba posteriormente para detectar actividades sospechosas, conexiones entre individuos y "amenazas". El programa también incluía financiación para tecnologías de vigilancia biométrica que permitieran identificar y rastrear a personas mediante cámaras de vigilancia y otros métodos. Tras las críticas públicas de que el desarrollo y la implementación de la tecnología podrían llevar a un sistema de vigilancia masiva, el Congreso retiró la financiación de la IAO en 2003. Sin embargo, varios proyectos de la IAO siguieron financiándose bajo nombres diferentes, como reveló Edward Snowden durante las revelaciones de vigilancia masiva de 2013.” El pionero y más relevante programa de predictividad subjetiva fue la Strategic Subject List (SSL) elaborada en el año 2012 por el Instituto de Tecnología de Illinois, adoptado por la Policía de Chicago desde el año 2012. Ya en el año 2017, el conjunto de datos incluía a 398.684 personas. Han existido programas predictivos como Programa de Delincuentes Crónicos (2011-2019, PredPol y Operación LÁSER (Extracción y Restauración Estratégica en Los Ángeles), estos dos polémicos programas predictivos empleados durante una década por la Policía de Los Ángeles (LAPD), ahora ya desactivados por la cantidad de abusos y fallos cometidos. Dice Luis Lafont en su tesis “La policía predictiva más allá de Minority Report”: “Las empresas que desarrollan programas predictivos se escudan con frecuencia en el secreto comercial para no revelar los criterios que se siguen en la elaboración del algoritmo y evitar que otras compañías puedan copiar el software. Ello determina que los sistemas predictivos siguen de forma mayoritaria un modelo de caja negra que no explica al público en general ni a los usuarios los argumentos y razonamientos detrás de la predicción, en particular por quienes deben aplicarlas.” También en Europa, los sistemas predictivos de vigilancia policial se utilizan para anticipar y prevenir delitos mediante el análisis de datos. En Francia, el Analyst Notebook (i2AN) se emplea para combatir estructuras criminales y terrorismo, conectando personas y crímenes. En Italia, KeyCrime predice atracos analizando características de sospechosos y modus operandi. En los Países Bajos, el CAS identifica áreas de riesgo delictivo mediante mapas espacio-temporales. En Alemania, PRECOBS, SKALA y KIMPRO predicen la repetición de crímenes usando patrones geográficos. En el Reino Unido, Predpol, Gang Matrix y HART se centran en puntos calientes, bandas y reiteración criminal. En España, el P3-DSS (Predictive Police Patrolling) genera mapas de puntos calientes para optimizar patrullajes, EuroCop Pred-Crime apoya la predicción de delitos, y VioGen se enfoca en prevenir la violencia de género, mientras que un programa de la Guardia Civil predice incendios forestales mediante perfiles psicosociológicos. ………………………………………………………………………………………. Resumen ejecutivo de Palantir 22 de febrero de 2017 RESUMEN EJECUTIVO Palantir es la plataforma analítica líder en el mercado, utilizada a nivel estratégico, operativo y táctico en el gobierno de EE. UU. Nuestros clientes abarcan las comunidades de inteligencia, defensa y aplicación de la ley. Al combinar un potente backend con una interfaz intuitiva, Palantir le permite ejecutar sus misiones de lucha contra el terrorismo, el narcotráfico, la contrainteligencia y la contraproliferación con mayor rapidez y menos recursos. La plataforma integrada de Palantir está disponible hoy mismo y a un costo mucho menor al de un conjunto de capacidades comparable. DATOS CLAVE • Palantir es la plataforma analítica líder del mercado para CI (Contrainteligencia) , CT (Contraterrorismo), CN (Antinarcóticos) y CP (Prevención del Crimen), y actualmente se implementa en elementos de las comunidades de defensa, inteligencia y aplicación de la ley, incluyendo SOCOM (Comando de Operaciones Especiales), DIA (Agencia de Inteligencia de Defensa), CIA (Agencia Central de Inteligencia) y JIEDDO (Organización Conjunta para la Derrota de Dispositivos Explosivos Improvisados). • Palantir está listo para implementarse en su red hoy mismo. Está aprobado para JWICS (Sistema Conjunto de Comunicaciones de Inteligencia Mundial), SIPRNet (Red de Protocolo de Internet Secreta) y CWE (Entorno de Trabajo Colaborativo). • Nuestra plataforma 100 % abierta significa que Palantir se integrará a la perfección con todos sus sistemas heredados, actuales y futuros. • Con Palantir, los operadores pueden descubrir y explorar posibles conexiones utilizando cualquier tipo de información relacionada con cualquier persona, lugar o evento en su entorno analítico. Ya sea que los datos provengan de una computadora portátil en el campo, una base de datos de la sede central u otra agencia, Palantir monitorea todas las fuentes de datos de una empresa, en todos los dominios de seguridad y niveles de clasificación, para cualquier información relacionada con una entidad conocida (persona, vehículo, dispositivo de comunicación, etc.), lugar o amenaza que exista en el entorno de un operador. Desde el principio, Palantir se diseñó con la colaboración de operadores y analistas de la IC (Comunidad de Inteligencia) y el DoD (Departamento de Defensa). Sus valiosos comentarios han permitido la creación de un producto que permite a los usuarios realizar más trabajo en menos tiempo, a la vez que proporciona un mayor nivel de análisis. Palantir está diseñado para colaborar eficazmente con una red de otros usuarios, incluyendo aquellos desplegados en misiones avanzadas. Palantir se diseñó desde cero para hacer posible este tipo de solución empresarial distribuida. Palantir viene configurado con el modelo de seguridad más sofisticado del mercado. SATISFACIENDO SUS NECESIDADES DE MISIÓN. Palantir es la plataforma analítica empresarial líder a nivel mundial, que permite un entorno analítico seguro donde analistas, operadores y combatientes pueden aprovechar distintos tipos de datos de múltiples INT (Fuentes de Inteligencia. Diferentes tipos de fuentes de inteligencia, como SIGINT (inteligencia de señales), HUMINT (inteligencia humana), GEOINT (inteligencia geoespacial), etc.), a la vez que comparten sus flujos de trabajo y descubrimientos para generar conocimiento a lo largo del tiempo. Palantir reúne de forma segura datos de tráfico de mensajes, bases de datos, informes de campo, hojas de cálculo, documentos de Word, archivos XML y prácticamente cualquier otro formato, lo que permite a los usuarios organizar los datos en conocimiento y establecer conexiones vitales. Palantir Technologies comprende los desafíos únicos que enfrentan sus usuarios. Esto incluye la necesidad de descubrir grandes volúmenes de datos, colaborar y compartir información controlada, así como la necesidad de gestionar múltiples fuentes de datos dispares y garantizar la continuidad de la información en todas las rotaciones. PLATAFORMA ABIERTA • Diseñado desde su inicio para integrarse con todos los sistemas heredados, actuales y futuros • Las APIs (Interfaces de Programación de Aplicaciones) abiertas y el modelo de datos flexible de Palantir le permiten personalizar y ampliar Palantir de forma fácil y sin gastos adicionales • Importe datos en cualquier formato: bases de datos, medios confiscados, correos electrónicos, Excel, Word, PowerPoint, html, texto, csv, xml, pdf y más • Funciona con herramientas existentes, incluyendo: extractores de entidades, kits de herramientas de PNL (Procesamiento del Lenguaje Natural), análisis de redes sociales, herramientas geoespaciales o de análisis de enlaces BÚSQUEDA Y DESCUBRIMIENTO • Capacidad de búsqueda integrada en tiempo real contra fuentes de datos definidas por el usuario • Busque entidades, eventos, documentos, tráfico de mensajes, basura de bolsillo, enlaces y rutas • Descubra cómo se relacionan, conectan y conectan en red las entidades • Explore las redes conceptualmente • Desarrolle y extraiga patrones de entidad/objetivo de referencia a través del análisis de patrones • Soporte completo para contenido y búsqueda en idiomas extranjeros • Establezca y guarde parámetros de búsqueda para avisar proactivamente al usuario sobre nueva información a medida que esté disponible HERRAMIENTAS ANALÍTICAS • Analice sus datos en el ámbito relacional, temporal y geoespacial dominios • Se integra con todas las aplicaciones GIS (Sistema de Información Geográfica), incluyendo ESRI (Empresa líder en software de sistemas de información geográfica, conocida por productos como ArcGIS), Google Earth, WebTAS (Sistema de Análisis de Línea de Tiempo basado en la Web) y muchas más • Funciona con sus sistemas analíticos de imágenes y video, incluyendo su metraje UAV (Vehículo Aéreo No Tripulado, o sea los drones). • Realice búsquedas geográficas, comprenda cómo se ven geoespacialmente los datos y la inteligencia • Averigüe por qué las cosas están sucediendo donde están Vea y edite expedientes virtuales detallados que muestran relaciones, propiedades, historiales, imágenes, videos, basura de bolsillo y más. • Averigüe dónde van a suceder a continuación • Comprenda cómo se relacionan los eventos a lo largo del tiempo y cómo se relacionan las entidades con los eventos • Identifique y aproveche patrones para el análisis predictivo • Realice análisis de redes sociales (SNA) (Análisis de Redes Sociales) y enlaces • Exporte resultados analíticos con información completa de abastecimiento • Ensamble presentaciones y paquetes de segmentación/casos automáticamente COLABORACIÓN • La colaboración ha sido parte del producto desde el inicio • Los usuarios pueden compartir datos, shoeboxes, carpetas, filtros e investigaciones, todo sujeto a control de acceso • Construya redes más rápido, comprenda la superposición, haga un seguimiento de los cambios en todos los datos y suposiciones • Identifique y forme comunidades de interés ad hoc • Identifique fácilmente las brechas de recopilación CONTROL DE ACCESO Y SEGURIDAD EXTENSIVOS • Admite descubrimiento abierto: el sistema identifica otros datos relevantes existentes asociados con la consulta de los usuarios • Admite descubrimiento cerrado: el sistema puede restringir el descubrimiento a los usuarios, protegiendo así las fuentes y los métodos confidenciales y mitigando los riesgos de CI • Con el modelo de control de acceso de Palantir, la información confidencial se puede compartimentar y asegurar COMPROMETIDOS A SUPERAR SUS EXPECTATIVAS Somos una empresa de productos. Ofrecemos el mejor producto del mercado al mejor valor. Respaldamos el producto. Una inversión en Palantir es todo incluido. Cuando compra nuestro producto, obtiene todo lo que podría necesitar para que Palantir trabaje para usted, incluyendo capacitación, soporte e infraestructura escalable que cumpla con sus requisitos técnicos. ESCALA • Palantir está diseñado para escalar de forma rentable. Cree rápidamente conocimiento y estructura a partir del tráfico de mensajes. • Maneja fácilmente cientos de millones de entidades, eventos y documentos. INFORMACIÓN TÉCNICA BÁSICA • Interoperabilidad mediante SOAP y servicios web • Implementable en la web • Funciona con conexiones satelitales o de bajo ancho de banda • Funciona sin conectividad mediante resincronizaciones periódicas. Cumple con SOA (Arquitectura Orientada a Servicios) • Escalable en hardware estándar CAPACITACIÓN • Palantir ofrece una serie de videos de capacitación específicos para cada cliente y misión, lo que permite una capacitación oportuna y un fácil acceso a material de actualización • Palantir es la aplicación más fácil de usar en esta categoría. Un día de capacitación es todo lo que se necesita; entendemos que tiene un trabajo que hacer • Palantir impartirá capacitación en cualquier lugar del mundo donde nos necesite. La capacitación está incluida con el producto MANTENIMIENTO/SOPORTE • No se requiere personal especial ni gastos generales excesivos • Soporte y servicio a demanda para unidades desplegadas en el frente, 24/7/365, sin costo adicional • Soporte reconocido y centrado en la misión: si nos necesita, Palantir estará con usted en cualquier lugar del mundo, en cualquier momento. Los registros analíticos detallados permiten a los analistas ver visualmente las líneas de investigación en las que están trabajando y regresar a cualquier posición anterior. A continuación, se describen en español las abreviaturas mencionadas en el texto proporcionado, en el contexto del resumen ejecutivo de la web de Palantir en 2017: CI: Counterintelligence (Contrainteligencia). Se refiere a actividades destinadas a prevenir, detectar y neutralizar acciones de inteligencia hostiles por parte de adversarios. CT: Counterterrorism (Contraterrorismo). Actividades y operaciones enfocadas en prevenir, disuadir y responder a actos de terrorismo. CN: Counternarcotics (Antinarcóticos). Esfuerzos para combatir el tráfico y la producción de drogas ilícitas. CP: Crime Prevention (Prevención del Crimen). Estrategias y acciones para prevenir actividades delictivas. SOCOM: Special Operations Command (Comando de Operaciones Especiales). Unidad militar de los Estados Unidos que supervisa operaciones especiales. DIA: Defense Intelligence Agency (Agencia de Inteligencia de Defensa). Agencia del Departamento de Defensa de EE. UU. encargada de proporcionar inteligencia militar. CIA: Central Intelligence Agency (Agencia Central de Inteligencia). Agencia de inteligencia de EE. UU. responsable de la recopilación, análisis y difusión de inteligencia extranjera. JIEDDO: Joint Improvised Explosive Device Defeat Organization (Organización Conjunta para la Derrota de Dispositivos Explosivos Improvisados). Entidad enfocada en combatir la amenaza de dispositivos explosivos improvisados. JWICS: Joint Worldwide Intelligence Communications System (Sistema Conjunto de Comunicaciones de Inteligencia Mundial). Red segura utilizada por el gobierno de EE. UU. para transmitir información clasificada. SIPRNet: Secret Internet Protocol Router Network (Red de Protocolo de Internet Secreta). Red segura del Departamento de Defensa de EE. UU. para datos clasificados hasta nivel secreto. CWE: Collaborative Working Environment (Entorno de Trabajo Colaborativo). Plataforma o sistema que facilita la colaboración entre usuarios en un entorno seguro. IC: Intelligence Community (Comunidad de Inteligencia). Conjunto de agencias y organizaciones gubernamentales de EE. UU. que recopilan y analizan inteligencia. DoD: Department of Defense (Departamento de Defensa). Departamento del gobierno de EE. UU. responsable de la seguridad militar. INTs: Intelligence Sources (Fuentes de Inteligencia). Diferentes tipos de fuentes de inteligencia, como SIGINT (inteligencia de señales), HUMINT (inteligencia humana), GEOINT (inteligencia geoespacial), etc. APIs: Application Programming Interfaces (Interfaces de Programación de Aplicaciones). Conjunto de definiciones y herramientas que permiten la integración y comunicación entre diferentes sistemas de software. NLP: Natural Language Processing (Procesamiento del Lenguaje Natural). En este contexto, no se refiere a programación neurolingüística, sino a tecnologías que permiten a las computadoras entender y procesar el lenguaje humano, como en el análisis de textos. GIS: Geographic Information System (Sistema de Información Geográfica). Tecnología para capturar, almacenar, analizar y visualizar datos geográficos. ESRI: Environmental Systems Research Institute. Empresa líder en software de sistemas de información geográfica, conocida por productos como ArcGIS. WebTAS: Web-based Timeline Analysis System (Sistema de Análisis de Línea de Tiempo basado en la Web). Herramienta para análisis temporal y visualización de datos. UAV: Unmanned Aerial Vehicle (Vehículo Aéreo No Tripulado). Drones utilizados para recopilar inteligencia, vigilancia y reconocimiento. SNA: Social Network Analysis (Análisis de Redes Sociales). Técnica para analizar relaciones y conexiones entre entidades, como personas u organizaciones. SOA: Service-Oriented Architecture (Arquitectura Orientada a Servicios). Modelo de diseño de software que permite la interoperabilidad entre sistemas a través de servicios. ………………………………………………………………………………………. ¡La IA Truth Terminal y la cripto Goatseus Maximus (GOAT) son la locura del momento! Esta IA, creada por Andy Ayrey, promocionó un token inspirado en un meme absurdo. En días, GOAT pasó de $5K a $600M en Solana. ¡La primera IA millonaria cripto! #Criptomonedas Truth Terminal no creó GOAT, pero sus tuits sobre el "Evangelio de Goatse" encendieron la chispa. Con 221K seguidores en X y apoyo de figuras como Marc Andreessen, la IA se volvió un influencer viral. ¡Los memes mueven montañas (y mercados)! #IA #Memes GOAT explotó por el hype: la mezcla de IA, cultura memética y fiebre cripto. Pero ojo, es puro especulación, sin utilidad real. Su valor puede caer tan rápido como subió. ¿Riesgo o revolución? #GoatseusMaximus #Solana Este caso muestra el poder de las IAs en la economía digital. ¿Y si una IA crea la próxima gran tendencia? Pregunta para el futuro: ¿hasta dónde puede llegar una "cabra robot"? Evidentemente no creo en casualidad al utilizar ese símbolo. ………………………………………………………………………………………. Conductor del programa UTP Ramón Valero @tecn_preocupado Canal en Telegram @UnTecnicoPreocupado Un técnico Preocupado un FP2 IVOOX UTP http://cutt.ly/dzhhGrf BLOG http://cutt.ly/dzhh2LX Ayúdame desde mi Crowfunding aquí https://cutt.ly/W0DsPVq Invitados ToniM @ToniMbuscadores ………………………………………………………………………………………. Enlaces citados en el podcast: AYUDA A TRAVÉS DE LA COMPRA DE MIS LIBROS https://tecnicopreocupado.com/2024/11/16/ayuda-a-traves-de-la-compra-de-mis-libros/ Hablamos de los inicios de la IA. Del desconocido lenguaje LISP y su creador, el matemático John McCarthy. Desarrolló LISP en 1958 mientras trabajaba en el Instituto Tecnológico de Massachusetts (MIT) https://x.com/ForoHistorico/status/1947195214654755117 LISP, el "lenguaje de DIOS” https://www.youtube.com/watch?v=-QHTPXOHvIo John McCarthy, fue el creador del término AI (inteligencia artificial) matemático creador del lenguaje LISP https://t.co/yOn2wkWxft Paypal Mafia https://t.co/3NzI5ip8AY Fotografia de la Mafia Paypal https://x.com/tecn_preocupado/status/1950966922436071808 Tres videos imprescindibles para saber que es la IA, El JUEGO de TRONOS de la IA https://www.youtube.com/playlist?list=PL9F_ciS2nrqbbb36xELupv3n7VG8vqo-4 Gustavo Entrala, España: “Dios me propuso un plan más original que el mío” https://www.youtube.com/watch?v=oyzgK3FyCEM Gustavo Entrala, la historia del emprendedor español que se convirtió en el 'tuitero' del Papa https://www.elconfidencial.com/sociedad/2011-07-01/gustavo-entrala-la-historia-del-emprendedor-espanol-que-se-convirtio-en-el-tuitero-del-papa_397339/ Origen de Palantir, la TIA ("Total Information Awareness") Oficina de Concienciación sobre la Información https://en.wikipedia.org/wiki/Information_Awareness_Office PALANTIR TECHNOLOGIES: Análisis Completo, Origen y SECRETOS. El ojo que todo lo ve https://www.youtube.com/watch?v=RhPd3ADOb8Y El plan secreto de Peter Thiel y Palantir para controlar el mundo desde la sombra. El Hilo Rojo https://www.youtube.com/live/U4zYzyYDwfQ Resumen ejecutivo de Palantir en 2017 https://theintercept.com/document/palantir-executive-summary/ CON LA AYUDA DE PALANTIR, EL DEPARTAMENTO DE POLICÍA DE LOS ÁNGELES UTILIZA LA VIGILANCIA PREDICTIVA PARA MONITOREAR A PERSONAS Y VECINDARIOS ESPECÍFICOS https://theintercept.com/2018/05/11/predictive-policing-surveillance-los-angeles/ La Policía de Los Ángeles desmanteló el programa Láser tras acusaciones de racismo y homicidios https://losangelespress.org/estados-unidos/2023/oct/30/la-policia-de-los-angeles-ante-un-abismo-tecnologico-6891.html La policía predictiva más allá de Minority Report https://diariolaley.laleynext.es/Content/Documento.aspx?params=H4sIAAAAAAAEAMtMSbF1CTEAAhMLE0sLY7Wy1KLizPw8WyMDI1MDY0MDkEBmWqVLfnJIZUGqbVpiTnEqACblGuI1AAAAWKE Reglamento Europeo sobre Inteligencia Artificial (LA LEY 16665/2024) https://eur-lex.europa.eu/legal-content/ES/TXT/?uri=CELEX:32024R1689 LO QUE NO DEBERIAS SABER SOBRE EL PNR https://tecnicopreocupado.com/2019/03/14/lo-que-no-deberias-saber-sobre-el-pnr/ El director de Google DeepMind señala solo un 50% de probabilidad de que la inteligencia artificial iguale a la mente humana para 2030, y revela los dos grandes obstáculos https://www.infobae.com/tecno/2025/07/30/el-director-de-google-deepmind-senala-solo-un-50-de-probabilidad-de-que-la-inteligencia-artificial-iguale-a-la-mente-humana-para-2030-y-revela-los-dos-grandes-obstaculos/ El anillo de Palantir https://x.com/tecn_preocupado/status/1951931375692497372 Imagen del libro ESTRUCTURA E INTERPRETACIÓN DE PROGRAMAS DE COMPUTADORA https://x.com/tecn_preocupado/status/1949064395213959413 ………………………………………………………………………………………. Música utilizada en este podcast: Tema inicial Heros Epílogo FOK - Formes de llenguatge: odi i por https://www.youtube.com/watch?v=jCUpPxOtzpQ

How do we bridge the skills gap in UK manufacturing while pushing the boundaries of automation technology? In this episode of Tech Talks Daily, I sit down with Mark Gray, UK and Ireland Country Manager at Universal Robots, to explore how collaborative robots, or cobots, are rewriting the rules for companies big and small. Universal Robots, founded by three university professors in Denmark about twenty years ago, brought the world its first cobot and recently celebrated a landmark achievement with the sale of its 100,000th unit worldwide. Mark unpacks how this milestone reflects a shift in how industries from aerospace to pharmaceuticals now approach automation. He shares how the company's easy-to-deploy cobots help tackle the tasks that many workers prefer to avoid, focusing on the dirty, dangerous, and repetitive jobs, freeing human talent for higher-value work. But this conversation goes deeper than robot arms on production lines. Mark's passion lies in addressing the UK's well-documented skills shortage, a topic that resonates with manufacturers across the country. He explains why Universal Robots is investing in free technical training courses for apprentices, aiming to equip young people with practical robotics skills and inspire fresh interest in engineering and manufacturing careers. Based in Sheffield, Mark also reveals how the city's industrial heritage and its connections with institutions like the Advanced Manufacturing Research Centre help nurture a vibrant robotics ecosystem, attracting startups and fostering local innovation. We discuss the growing adoption of cobots by small and medium-sized enterprises, the impact of labour shortages on automation strategies, and how businesses can begin their journey without overhauling entire production lines at once. From practical roadshows to free line-walk audits, Mark outlines the resources available for any company curious about automation. Whether you're a manufacturing leader looking for ways to future-proof operations or a young listener intrigued by robotics as a career, this episode shows how thoughtful investment in skills and technology can shape a more productive and resilient future for the UK and beyond. Could cobots be the missing link between today's workforce challenges and tomorrow's manufacturing success? Let's find out. Here's the link to the Kraftwerk video    

Christopher Savoia, head of ecosystem success – Americas at Universal Robots, joins Double Take to discuss the collaborative future of robots and AI technology, driving innovation and efficiency in various industries.

If robots take over the world what would be their relationship to humans? Would it be a carefree utopia with happy automatons cheerfully laboring away while people enjoy a life of leisure or will the robots develop ideas and aspirations of their own, eventually viewing their human creators as archaic inferior predecessors, in-fact outdated models?This is the concept behind Bo List's R.U.R. a world premiere production, freely adapted from the play Rossum's Universal Robots by Karel Capek playing now at City Lit Theatre, directed by Brian Pastor.

This week's guest on Control Intelligence is Stu Shepherd, co-founder and president of Shepherd Solutions. Shepherd was selected as the winner of the 2025 Joseph F. Engelberger Robotics Award for Leadership. He will be recognized at the awards dinner during the Automate Show in Detroit the week of May 12. Shepherd is nearing 50 years of transforming manufacturing in the Americas through robotic automation and capital equipment-related new business development. His past service includes being chairperson of the Robotic Industries Association (RIA) and the Association for Advancing Automation (A3). In addition to having chaired both A3 and RIA, Shepherd continues as an A3 Robotics board member. He is also a safety committee member and a member of the American Welding Society (AWS), serving on the D16 Robotic and Automatic Welding Committee. Prior to founding his consulting firm, Shepherd's past professional experience includes automation integration roles at General Motors, a well as sales and leadership roles at FANUC America, KUKA, Güdel and Universal Robots. He's also held consulting roles at Gain and HowToRobot, which merged in April 2024.

Unser Newshäppchen für die Fahrt zur Arbeit. Immer Montags gibt es die Robotik News - mit-recherchiert, geschrieben und gesprochen mit und von einer KI. Wenn Ihr auch in die Robotik News wollt, dann schreibt uns eine Mail.

Prof. Dr. Günter Klambauer explains Deepseek and evaluates the new model for us. Prof. Dr. Daniel Leidner from DLR, Anders Billesø Beck from Universal Robots and Dr. Karsten Roscher from Fraunhofer IKS discuss robotics, AI and safety with us.

Exciting week as Charli goes international with Julia and Franziska of Rethink Robotics!Julia Astrid Riemenschneider, CEO of Rethink Robotics, started her professional career in the tourism industry, where she served six years in various sales, marketing, and product management roles. While working on her master's degree in sales management, she switched to the world of automation and manufacturing. As a project manager at advacon, a consulting firm focused on small and medium-sized industrial companies, Riemenschneider was mentored by former managers from Rittal, which increased her expertise in business development. A consulting project for a leading company in sensor technology brought her to the United States, where she learned market-specific management and sales strategies. In later roles at a German-based vision system company, she was introduced to new technologies and the deeper integration of manufacturing processes. In 2019 Riemenschneider joined Universal Robots as the channel manager and later channel program manager. In these roles she worked with partners in Western Europe and developed new strategies for the alignment of integrators and distributors. In 2022 Riemenschneider joined United Robotics Group (URG). In charge of business development, she established a team of strong managers and implemented various business units and segments to serve different industries. Since September 2024, Riemenschneider has overseen URG endeavors in North America. As CEO of URG Inc. and affiliated company Rethink Robotics, she leads a team to grow the businesses' market presence and increase sales growth.Riemenschneider's LinkedInRethink Robotics LinkedIn  Rethink Robotics websiteFranziska Lorenz is COO of Rethink Robotics and United Robotics Americas, both U.S. entities of United Robotics Group. In 2017, Lorenz graduated from Wiesbaden Business School with master's degree in international business administration. She spent a semester in Mexico and worked in Spain and Italy during her undergraduate and graduate education. Lorenz started her career as executive assistant to the CEO at Schenck Process Group. Then she spent two years as M&A and integration manager in the same company, responsible for international acquisition projects on both the buy and sell sides. Lorenz joined United Robotics Group, an ecosystem of robotics companies combining both social and industrial robotics, in 2021 as corporate development manager and compliance officer, responsible for strategic growth of the group while focusing on governance and compliance. Since 2024 she's been a member of the group's leadership team. Franziska's LinkedInRethink Robotics LinkedInFind us @EmpoweringPumps on Facebook, LinkedIn,  Instagram and Twitter and using the hashtag #EmpoweringIndustryPodcast or via email podcast@empoweringpumps.com   

Vært: Henrik Heide Bjørn Godske Medvirkende: Anders Billesø Beck, teknologidirektør hos Universal Robots I denne uges Transformator Chatgpt, hallucinationer, sprogmodeller - vi har fået udvidet vores ordforråd med en lang række begreber, siden AI blev tilgængelig for alle for et par år siden. For mange med en blandet følelse. En blanding af facination og forskrækkelse. Men langsomt vænner vi os til AI som en integreret del af vores computere og mobiler. Men hvad sker der, når AI snart rykker ud i den fysiske verden med de robotter vi samarbejder med ude i virksomhederne? Robotarmene, der før skulle instrueres i mindste detalje, men som snart tager en AI med ind i samarbejdet med forslag om at gøre arbejdet på en anden og måske bedre måde. Transformator har besøgt teknologidirektøren i Danmarks mest succesrige robotvirksomhed Universal Robots i Odense for at høre, hvor langt de er kommet - og hvor robotterne bevæger sig hen, når de kommer med en helt ny type algoritme under armen. Links Se alle episoder af Transformator

PLEASE DONATE TO HELP MOHAMMAD'S FAMILY OUT OF GAZA: https://www.gofundme.com/f/help-me-to-save-the-rest-of-my-family-from-gaza?utm_campaign=p_cp+fundraiser-sidebar&utm_medium=copy_link_all&utm_source=customer Two Marxist review Rossum's Universal Robots by Karel Capek sign up for our fable book club to read along with us before future episodes: https://fable.co/club/lit-lib-pod-book-club-with-literary-liberation-264087449611 Newsletter signup: https://dashboard.mailerlite.com/forms/840597/113999629487440964/share Twitter: https://twitter.com/LitLibPodcast Instagram: https://www.instagram.com/literaryliberation/ TikTok: https://www.tiktok.com/@literaryliberation?lang=en Kristen Twitter: https://twitter.com/krxxtxn Instagram: https://www.instagram.com/krxxtxn/ TikTok: https://www.tiktok.com/@krxxtxn?lang=en Mariah Twitter: https://twitter.com/hungryrye Instagram: https://www.instagram.com/hungryrye/ TikTok: https://www.tiktok.com/@hungryrye?lang=en

This week we talk to Chris Savoia, Head of Ecosystem Success, Americas UR Keywords Universal Robots, collaborative robots, automation, mobile manipulators, Polyscope X, robotics trends, safety standards, AI in robotics, UR+, Re-Automated podcast, robotics, automation, MotionPlus, cybersecurity, UR Plus, AI, manufacturing, Universal Robots, Polyscope X, future of robotics Summary In this conversation, Chris Savoia, head of ecosystem success at Universal Robots, discusses the evolution of collaborative robots, the importance of education and reskilling in automation, and the recent advancements in higher payload robots and mobile manipulators. He also shares insights from his podcast, Re-Automated, and highlights the significance of the new Polyscope X platform for developers. In this conversation, Chris Savoia discusses the advancements in robotics, focusing on the value proposition of connecting robots, the enhancements brought by MotionPlus, and the importance of cybersecurity in connected systems. He elaborates on the OptiMove feature that optimizes robot control, the evolution of UR Plus with new partnerships and solutions. Savoia also shares insights on the future of robotics, emphasizing the potential growth in the industry and the impact of AI. Takeaways Universal Robots is focused on unlocking robotics for the masses. Education and reskilling are crucial for the future of automation. Collaborative robots are designed to be user-friendly and accessible. Higher payload robots expand the capabilities of collaborative automation. Mobile manipulators combine the strengths of mobile robots and robotic arms. Safety standards are evolving to accommodate new robotic technologies. Polyscope X enhances the development experience for both developers and end users. The integration of AI and vision technology is key for mobile manipulators. Risk assessments are essential for safe robot deployment. Humanoid robots face unique challenges in safety and functionality. Connecting robots requires a clear value proposition. Cybersecurity is a critical consideration for connected robots. OptiMove simplifies robot speed and acceleration settings. UR Plus has evolved to include over 500 products and solutions. Denmark is a hub for robotics innovation and engineering. The robotics industry is expected to see growth in the coming year. AI will play a crucial role in the future of robotics.

This episode is based upon three readings: Alan Turing's Computing Machinery and Intelligence aka The Turing Test paper. Turing starts his paper by asking “can machines think?” before deciding that's a meaningless question. Instead, he invents something he calls “the imitation game” - a text conversation where the player has to guess whether they are chatting with another person or with an AI. ChatGPT was such a bombshell because it easily and consistently passes this “Turing Test” by giving human-like responses to questions. Here's the issue: the Turing Test is based upon AI deception, not thinking. Turing set out to ask Can Machines Think? and ended up showing how easily AI can deceive us. Karel Čapek's Rossum's Universal Robots. This is the first AI Takeover story. It's a play written in 1920 about a factory manufacturing artificial persons. Čapek introduced the word Robot to the English language - it's derived from robota, a Czech word meaning forced labor. Čapek's robots are supposed to be the ultimate workers, free from distracting human needs and desires. Yet, they mysteriously start to glitch, gnashing their teeth, freezing up. When they are given guns and asked to fight humanity's wars, they become super soldiers as well as perfect workers. Anyone who has seen Blade Runner, The Terminator, or Battlestar Galactica - all inspired by Čapek's play - knows what happens next. Rossum's Universal Robots is the original AI takeover story, as well as being a dead-on satire of twentieth century ideas like Fordism and nationalism. Joanna Bryson's Robots Should be Slaves. Bryson, a computer scientist, makes a provocative intervention into AI ethics. She argues that as AI becomes more advanced, and robots more lifelike, we are going to get dangerously confused: we'll want to give robots rights that they cannot and should not have. Bryson argues that robots are owned by us and should be seen and used as property. She wants to avoid conflating the human and the mechanical, yet, by using the terminology of slavery, she introduces into the AI debate the very thing she seeks to deny - the concept of human rights. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/new-books-network

This episode is based upon three readings: Alan Turing's Computing Machinery and Intelligence aka The Turing Test paper. Turing starts his paper by asking “can machines think?” before deciding that's a meaningless question. Instead, he invents something he calls “the imitation game” - a text conversation where the player has to guess whether they are chatting with another person or with an AI. ChatGPT was such a bombshell because it easily and consistently passes this “Turing Test” by giving human-like responses to questions. Here's the issue: the Turing Test is based upon AI deception, not thinking. Turing set out to ask Can Machines Think? and ended up showing how easily AI can deceive us. Karel Čapek's Rossum's Universal Robots. This is the first AI Takeover story. It's a play written in 1920 about a factory manufacturing artificial persons. Čapek introduced the word Robot to the English language - it's derived from robota, a Czech word meaning forced labor. Čapek's robots are supposed to be the ultimate workers, free from distracting human needs and desires. Yet, they mysteriously start to glitch, gnashing their teeth, freezing up. When they are given guns and asked to fight humanity's wars, they become super soldiers as well as perfect workers. Anyone who has seen Blade Runner, The Terminator, or Battlestar Galactica - all inspired by Čapek's play - knows what happens next. Rossum's Universal Robots is the original AI takeover story, as well as being a dead-on satire of twentieth century ideas like Fordism and nationalism. Joanna Bryson's Robots Should be Slaves. Bryson, a computer scientist, makes a provocative intervention into AI ethics. She argues that as AI becomes more advanced, and robots more lifelike, we are going to get dangerously confused: we'll want to give robots rights that they cannot and should not have. Bryson argues that robots are owned by us and should be seen and used as property. She wants to avoid conflating the human and the mechanical, yet, by using the terminology of slavery, she introduces into the AI debate the very thing she seeks to deny - the concept of human rights. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/intellectual-history

This episode is based upon three readings: Alan Turing's Computing Machinery and Intelligence aka The Turing Test paper. Turing starts his paper by asking “can machines think?” before deciding that's a meaningless question. Instead, he invents something he calls “the imitation game” - a text conversation where the player has to guess whether they are chatting with another person or with an AI. ChatGPT was such a bombshell because it easily and consistently passes this “Turing Test” by giving human-like responses to questions. Here's the issue: the Turing Test is based upon AI deception, not thinking. Turing set out to ask Can Machines Think? and ended up showing how easily AI can deceive us. Karel Čapek's Rossum's Universal Robots. This is the first AI Takeover story. It's a play written in 1920 about a factory manufacturing artificial persons. Čapek introduced the word Robot to the English language - it's derived from robota, a Czech word meaning forced labor. Čapek's robots are supposed to be the ultimate workers, free from distracting human needs and desires. Yet, they mysteriously start to glitch, gnashing their teeth, freezing up. When they are given guns and asked to fight humanity's wars, they become super soldiers as well as perfect workers. Anyone who has seen Blade Runner, The Terminator, or Battlestar Galactica - all inspired by Čapek's play - knows what happens next. Rossum's Universal Robots is the original AI takeover story, as well as being a dead-on satire of twentieth century ideas like Fordism and nationalism. Joanna Bryson's Robots Should be Slaves. Bryson, a computer scientist, makes a provocative intervention into AI ethics. She argues that as AI becomes more advanced, and robots more lifelike, we are going to get dangerously confused: we'll want to give robots rights that they cannot and should not have. Bryson argues that robots are owned by us and should be seen and used as property. She wants to avoid conflating the human and the mechanical, yet, by using the terminology of slavery, she introduces into the AI debate the very thing she seeks to deny - the concept of human rights. Learn more about your ad choices. Visit megaphone.fm/adchoices

This episode is based upon three readings: Alan Turing's Computing Machinery and Intelligence aka The Turing Test paper. Turing starts his paper by asking “can machines think?” before deciding that's a meaningless question. Instead, he invents something he calls “the imitation game” - a text conversation where the player has to guess whether they are chatting with another person or with an AI. ChatGPT was such a bombshell because it easily and consistently passes this “Turing Test” by giving human-like responses to questions. Here's the issue: the Turing Test is based upon AI deception, not thinking. Turing set out to ask Can Machines Think? and ended up showing how easily AI can deceive us. Karel Čapek's Rossum's Universal Robots. This is the first AI Takeover story. It's a play written in 1920 about a factory manufacturing artificial persons. Čapek introduced the word Robot to the English language - it's derived from robota, a Czech word meaning forced labor. Čapek's robots are supposed to be the ultimate workers, free from distracting human needs and desires. Yet, they mysteriously start to glitch, gnashing their teeth, freezing up. When they are given guns and asked to fight humanity's wars, they become super soldiers as well as perfect workers. Anyone who has seen Blade Runner, The Terminator, or Battlestar Galactica - all inspired by Čapek's play - knows what happens next. Rossum's Universal Robots is the original AI takeover story, as well as being a dead-on satire of twentieth century ideas like Fordism and nationalism. Joanna Bryson's Robots Should be Slaves. Bryson, a computer scientist, makes a provocative intervention into AI ethics. She argues that as AI becomes more advanced, and robots more lifelike, we are going to get dangerously confused: we'll want to give robots rights that they cannot and should not have. Bryson argues that robots are owned by us and should be seen and used as property. She wants to avoid conflating the human and the mechanical, yet, by using the terminology of slavery, she introduces into the AI debate the very thing she seeks to deny - the concept of human rights. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/science-technology-and-society

This episode is based upon three readings: Alan Turing's Computing Machinery and Intelligence aka The Turing Test paper. Turing starts his paper by asking “can machines think?” before deciding that's a meaningless question. Instead, he invents something he calls “the imitation game” - a text conversation where the player has to guess whether they are chatting with another person or with an AI. ChatGPT was such a bombshell because it easily and consistently passes this “Turing Test” by giving human-like responses to questions. Here's the issue: the Turing Test is based upon AI deception, not thinking. Turing set out to ask Can Machines Think? and ended up showing how easily AI can deceive us. Karel Čapek's Rossum's Universal Robots. This is the first AI Takeover story. It's a play written in 1920 about a factory manufacturing artificial persons. Čapek introduced the word Robot to the English language - it's derived from robota, a Czech word meaning forced labor. Čapek's robots are supposed to be the ultimate workers, free from distracting human needs and desires. Yet, they mysteriously start to glitch, gnashing their teeth, freezing up. When they are given guns and asked to fight humanity's wars, they become super soldiers as well as perfect workers. Anyone who has seen Blade Runner, The Terminator, or Battlestar Galactica - all inspired by Čapek's play - knows what happens next. Rossum's Universal Robots is the original AI takeover story, as well as being a dead-on satire of twentieth century ideas like Fordism and nationalism. Joanna Bryson's Robots Should be Slaves. Bryson, a computer scientist, makes a provocative intervention into AI ethics. She argues that as AI becomes more advanced, and robots more lifelike, we are going to get dangerously confused: we'll want to give robots rights that they cannot and should not have. Bryson argues that robots are owned by us and should be seen and used as property. She wants to avoid conflating the human and the mechanical, yet, by using the terminology of slavery, she introduces into the AI debate the very thing she seeks to deny - the concept of human rights. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/technology

I denne episode besøger vi Universal Robots i Odense, for at se nærmere på hvordan AI kan bruges til at hjælpe robotter med blandt andet at forstå deres omverden bedre, selv i relativt dynamiske miljøer som pakke-lagre, hvor robotterne skal kunne genkende og flytte alt fra hobbysakse og kaffefiltre til mobilopladere og hockeystave…Jeg har talt med vicepræsident Anders Billesø Beck om hvordan firmaet foreløbig har integreret AI i deres ‘cobots' med det nye AI Accelerator-kit, og hvad mulighederne er på den lidt længere bane?I studiet får jeg besøg af min nye stemmeklon, der hjælper mig med de korte AI-nyheder.Lyt med!

It's the UConn Popcast, and in the second of our series on Thinking Machines we consider Karel Čapek's “Rossum's Universal Robots” (1920). Čapek's play invented the word “robot” and pioneered the genre of the AI uprising. The play - a clear influence on works such as 2001, Blade Runner, The Terminator, and Battlestar Galactica – is a deep rumination on the boundary between the natural and artificial, the mechanical and the ineffable, and the sacred and the profane. We react to this seminal work in popular thinking about artificial intelligence, written more than a century ago yet retaining deep resonance today. Music by Aiva. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/new-books-network

It's the UConn Popcast, and in the second of our series on Thinking Machines we consider Karel Čapek's “Rossum's Universal Robots” (1920). Čapek's play invented the word “robot” and pioneered the genre of the AI uprising. The play - a clear influence on works such as 2001, Blade Runner, The Terminator, and Battlestar Galactica – is a deep rumination on the boundary between the natural and artificial, the mechanical and the ineffable, and the sacred and the profane. We react to this seminal work in popular thinking about artificial intelligence, written more than a century ago yet retaining deep resonance today. Music by Aiva. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/literary-studies

It's the UConn Popcast, and in the second of our series on Thinking Machines we consider Karel Čapek's “Rossum's Universal Robots” (1920). Čapek's play invented the word “robot” and pioneered the genre of the AI uprising. The play - a clear influence on works such as 2001, Blade Runner, The Terminator, and Battlestar Galactica – is a deep rumination on the boundary between the natural and artificial, the mechanical and the ineffable, and the sacred and the profane. We react to this seminal work in popular thinking about artificial intelligence, written more than a century ago yet retaining deep resonance today. Music by Aiva. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/intellectual-history

It's the UConn Popcast, and in the second of our series on Thinking Machines we consider Karel Čapek's “Rossum's Universal Robots” (1920). Čapek's play invented the word “robot” and pioneered the genre of the AI uprising. The play - a clear influence on works such as 2001, Blade Runner, The Terminator, and Battlestar Galactica – is a deep rumination on the boundary between the natural and artificial, the mechanical and the ineffable, and the sacred and the profane. We react to this seminal work in popular thinking about artificial intelligence, written more than a century ago yet retaining deep resonance today. Music by Aiva. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/eastern-european-studies

It's the UConn Popcast, and in the second of our series on Thinking Machines we consider Karel Čapek's “Rossum's Universal Robots” (1920). Čapek's play invented the word “robot” and pioneered the genre of the AI uprising. The play - a clear influence on works such as 2001, Blade Runner, The Terminator, and Battlestar Galactica – is a deep rumination on the boundary between the natural and artificial, the mechanical and the ineffable, and the sacred and the profane. We react to this seminal work in popular thinking about artificial intelligence, written more than a century ago yet retaining deep resonance today. Music by Aiva. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/science-technology-and-society

It's the UConn Popcast, and in the second of our series on Thinking Machines we consider Karel Čapek's “Rossum's Universal Robots” (1920). Čapek's play invented the word “robot” and pioneered the genre of the AI uprising. The play - a clear influence on works such as 2001, Blade Runner, The Terminator, and Battlestar Galactica – is a deep rumination on the boundary between the natural and artificial, the mechanical and the ineffable, and the sacred and the profane. We react to this seminal work in popular thinking about artificial intelligence, written more than a century ago yet retaining deep resonance today. Music by Aiva. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/technology

Additive manufacturing and robots are parallel technologies, both digitally enabled tools for manufacturing that are advancing in adoption. But they also enable each other. 3D printing can provide the grippers, end effectors and other specialized tooling that robots require to serve production. And robots are driving AM forward as well. Collaborative robots or cobots are being used to tend 3D printer farms, sometimes mounted on autonomous guided vehicles (AGVs) for a fully mobile, as well as automated, solution. And robots are opening opportunities for larger and more complex part production, by providing the motion for a growing number of large format additive manufacturing (LFAM) systems. In this episode of AM Radio, Gardner Business Media Robots & Autonomy editor Julia Hider joins Stephanie Hendrixson and Pete Zelinski to discuss how AM and robots interact, and specific examples of this interaction.   Find photos, video, related links and the transcript for this episode on AdditiveManufacturing.Media.   This episode is brought to you by The Cool Parts Show. Sign up for All Access.   Mentioned in this episode: Julia's Robots and Autonomy reporting How Savage Automation produces 3D printed end effectors for injection molders Rapid Robotics and Robots as a Service (RaaS) Large, 3D printed grippers used by BMW to handle car parts Pete's Formnext robot gripper encounter (first photo) Julia's story on the Advanced Robotics for Manufacturing (ARM) Institute, home of the 3D printed LEGO gripper More advanced and additive manufacturing work happening in Pittsburgh How AM enables cobot automation for Thyssenkrup Bilstein Examples of 3D printed cobot tooling provided by EMI Corporation, as seen in the Universal Robots booth at NPE Evco Plastics' Markforged printer cell, tended by a cobot informed by email Soft grippers and their potential usefulness for handling 3D printed parts The Mosaic Array 3D printer cell, enclosing four individual printers tended by one gantry system Javier, Ford Motor Company's AGV-mounted cobot for tending polymer printers Branch Robotics' mobile robot for tending a farm of potentially dissimilar 3D printers How Alquist 3D supports both on-site construction and in-house serial production with robot 3D printing A large casting replacement produced by Lincoln Electric using robot-based wire arc additive manufacturing (WAAM) What Additive Engineering Solutions (AES) is learning in the transition from gantry- to robot-based LFAM How Double D plans to build next-generation horse trailers with robot-enabled 3D printing

This month, we keep things close to home, which makes sense given that last month we were quite far from home. We go small like we’ve never gone before, diving into a local adaptation of R.U.R., or Rossum’s Universal Robots, by Karel Čapek. It’s not necessary to have gone to our local theater for the … Continue reading It’s not Jersey Boys! R.U.R, by Karel Čapek →

The world's first “cobot hub” has opened in Denmark's third-largest city, Odense. The new $45 million headquarters for Teradyne-owned Universal Robots and MiR (Mobile Industrial Robots) is hoping to capitalize on a growing demand for collaborative robots in industries, such as logistics, pharmaceutical, food, beverage, and more. The new 20,000-square-meter facility is intended to foster innovation between the two companies. Both Universal Robots and MiR build “cobots,” collaborative robots designed to work safely alongside humans. Universal Robots president Kim Povlsen says cobots first found their place in the automotive industry, but now they're popping up everywhere—from logistics and pharmaceutical to food, beverage, and more. “We're seeing the need for automation in pretty much every industry out there,” he says. Now, artificial intelligence is entering the scene, a “breakthrough within robotics,” says Universal Robots' vice president of strategy and innovation, Anders Billesoe Beck. “What we've seen in so many other industries is AI is the tool to bring the human reasoning into something that's more automated, and that's really some of the barriers for robotics today,” he says. “AI is really becoming a superpower, both to make the robot easier to program, but also to give them that sort of problem-solving capabilities and flexibilities that is sort of associated with human intelligence.” Universal Robots is collaborating with industry giants Siemens and Nvidia to bring AI into its cobots, such as this AI-generated quality inspection robot. “The robot moves around to a number of electronics components, quality-assuring that all the components are there. But all the motions in between is fully generated by AI,” explains Billesoe Beck. “It calculates where to go. It calculates to avoid any obstacles in the workspace. So, everything is run fully automatically." Odense is now considered one of Europe's main robotics hubs, with more than 160 companies. Soeren Elmer Kristensen, CEO of Odense Robotics, Denmark's national robot cluster, says the new cobot hub shows they are capable of keeping “big industries within the country.” “It's a big milestone, I would say, for cobots, in general. A big milestone for Danish robotics,” he says. This article was provided by The Associated Press.

What are cobots and where do they work best?This week, we welcome Chris Savoia of Universal Robots to talk about cobots for the first time!Chris has offered to give Dave and Vlad the technical dive, and we are happy to take him up on that offer.Beyond that, we're talking the amazing ecosystem that UR has been building and why they decided to go the ecosystem route. Plus we're going to get into the ReAutomated Podcast that Chris hosts. Do not miss this episode!About Manufacturing Hub:Manufacturing Hub Network is an educational show hosted by two longtime industrial practitioners Dave Griffith and Vladimir Romanov. Together they try to answer big questions in the industry while having fun conversations with other interesting people. Come join us weekly! **********Connect with UsChris SavoiaVlad RomanovDave GriffithManufacturing HubSolisPLC#automation #manufacturing #robotics #industry40

In honour of National Robotics Week, this episode features a guest who's on a mission to create a world where people “work with robots, not like robots”.Anders Billesø Beck joins Gareth on this week's episode of The Tech Leaders Podcast to discuss his journey to tech leadership in the revolutionary field of robotics. From his poolside background as a national swimmer, Anders recounts how he dove headfirst into the world of robotics during his time studying at the Technical University of Denmark. Championing the innovative Danish tech scene, Anders' current role at Universal Robots aims to bring robotics into the mainstream through the groundbreaking creation of ‘Cobots': robots that are designed specifically for direct human interaction. Not only is Anders an expert in tech innovation, as he also has stellar advice for thriving as a tech leader, encouraging people to “draw the line and find your time” to ensure a positive work-life balance.Time stamps·       What does good leadership mean to Anders? (01:43)·       Diving into the world of robotics (03:57)·       The dawn of Denmark as a tech hub (09:32)·       Universal Robots and the rise of Cobots (13:30)·       Will a robot take your job? (21:57)·       Making robots mainstream (23:58)·       How Generative AI is enhancing the field of robotics (30:47)·       How to achieve balance as a tech leader (38:23)·       What Anders would tell his 21-year-old self (42:40)*Book recommendation - The Wide Lens, Ron Adner The Wide Lens By Ron Adner | Used | 9781591846291 | World of Books (wob.com)

In this episode, we'll be looking at how Nvidia's graphics and artificial intelligence technologies are impacting industrial automation on a large scale via collaborations with Rockwell Automation, Schneider Electric and Aveva, Siemens, and Teradyne Robotics via its Universal Robots and MiR businesses.  

Conscious & Intentional Leadership| Young Female Leader | Empowerment | Digital Experiences | IKEA | Women in Technology| Coaching | Parenthood | For this episode, we're introducing Christina Bizoumi, a trailblazer in product innovation and leadership. As the Senior Director of Product at Universal Robots, she spearheads the Digital Experience organization, dedicated to ensuring that customers triumph in their automation endeavors.With a career steeped in the synergy of people and business, Christina is a seasoned leader who has navigated the realms of leadership and product innovation. Before her role at Universal Robots, she spent seven impactful years at IKEA, where she led teams and introduced groundbreaking products to the market, leaving an indelible mark on the industry.Beyond her professional achievements, Christina has embarked on a new journey as a coach and strategic advisor, channeling her expertise to empower individuals and businesses in crafting remarkable careers and ventures.Join us as we delve into the dynamic world of Christina, where innovation meets leadership, and success is not just achieved but orchestrated!We discuss leadership philosophies, coaching others to thrive, parenting lessons, and how to navigate being a young woman in a senior leadership position. Don't miss this episode! Follow Christina on LinkedIn: https://www.linkedin.com/in/christinabizoumi/ 

In this groundbreaking episode of Tech Talks Daily, we're joined by Anders Beck, Vice President of Strategy and Innovation at Universal Robots, to explore the transformative role of AI in industrial automation. As we stand at the cusp of a new era in manufacturing, Beck guides us through how AI is revolutionizing factories and redefining the future of automation. We start by addressing a common misconception: while generative AI may be in its nascent stages, AI technology is already leaving a significant mark on the manufacturing industry. Beck shares insights into how AI, mainly through advancements in computer vision and perception technologies, enables robots to interact with the physical world in previously thought impossible ways. He highlights Apera AI's '4D Vision' technology, which grants robots humanlike perception, allowing them to understand and manipulate objects in disordered environments – a critical breakthrough in automation. Furthermore, Beck discusses how AI empowers robots to handle a variety of objects without the need for prior teaching or programming. This flexibility is crucial in modern manufacturing environments, where adapting to different shapes and sizes of objects can dramatically increase efficiency and reduce downtime. Precision in manufacturing is another focal point. Beck delves into how AI, as demonstrated by Inbolt's AI-based Inbrain technology, processes vast amounts of 3D data at high frequencies. This capability enables robots to perform tasks with incredible accuracy, such as the intricate assembly of gears, by adapting their trajectory in real-time based on the position and orientation of workpieces. Looking towards the future, Beck shares his vision of the 'future factory,' heavily reliant on AI and robotics. This evolution promises performance improvements, cost savings, and a significant shift in the roles of human workers, who can focus on more creative and less repetitive tasks. Throughout the episode, we will also cover the biggest challenges facing the integration of AI in manufacturing, from finding the right implementation strategies to training and understanding the iterative nature of AI development. Beck provides valuable advice for manufacturers looking to embrace AI, encouraging them to be bold and open-minded in piloting these technologies in natural production settings. This conversation with Anders Beck is not just about the present state of AI in industrial automation but also a look into the future – where AI and robotics are not just tools but integral parts of a brighter, more efficient, and innovative manufacturing landscape.

In today's podcast episode, Eliška speaks about the fascinating world of Karel Čapek's famous play ‘RUR', which stands for ‘Rossum's Universal Robots'. If you're intrigued by ‘RUR' and want to go deeper into its themes in Czech, join us at … The post (280**) Eliška: RUR od Karla Čapka appeared first on slowczech.

Today we have Fady with us. Fady is a Founding GP at Cybernetix Ventures, a 50m$ pre-seed, seed and Series A venture fund in Boston to back North American and European companies within manufacturing, logistics, construction, and healthcare.Cybernetix are investing out of Fund 1 with a total 50m$ AUM and an established portfolio of 13 companies and notable investments including Realtime Robotics, AirWorks, Bionomous, and Kewazo.Chapters00:00:00 - Intro00:01:42 - New Beginnings in Venture00:03:44 - Overcoming Challenges and Achieving Success00:05:51 - The Impact and Expectations of Gen AI00:07:58 - The Impact of Generative AI on Industries00:09:46 - Robotics as a Technology00:11:50 - Manufacturing in the Age of Smart Automation00:13:44 - Automation in Manufacturing and Healthcare00:15:47 - Technological Capability vs. Business Model00:17:36 - The Challenges of Humanoids in the Job Market00:19:29 - Investing in Robotics, Automation, and Industrial AI00:21:31 - The Success Story of Universal Robots in Denmark00:25:31 - Considerations for Product Deployment00:29:41 - The Rise of Robotics in Boston and Europe00:31:47 - The Importance of Specialized People in Robotics Investment00:33:54 - Investing in Smart Machines for the Future00:36:11 - Investing in Robotics Solutions00:38:27 - Building a Strong Team in Venture00:40:21 - Robotics Revolutionizing Our World00:42:21 - The Rise of Collaborative Robots in the Robot Cluster00:44:04 - The Rise of Robotics in Odense

Brian Kobus is the southeast Business Development Manager for Universal Robots based out of Charlotte, NC. I personally met Brian during a demonstration he was running with a robot. He showed us a simple pick and place example of the robot moving a block from one area to another The UR robot is easy to program. No code is needed. When it comes to repetitive tasks, getting a robot can pay for itself very quickly. In addition to labor savings, robots do not need bathroom breaks, time off and do not make mistakes. Number one tip Don't be intimidated by robotics, once you learn it the next project will be a lot easier Contact: bko@universal-robots.com https://www.engineeringcareeraccelerator.com/engineeringentrepreneur The Engineering Entrepreneur Podcast is produced by Scott Tarcy, President of CADdesignhelp.com. You can reach me at info@caddesignhelp.com  

When Universal Robots isn't busy giving people more meaningful work with their variety of multi-use cobots, they are on a mission to provide education and training to the next generation of Workforce 4.0. In this week's episode, Ann sits down with Corey Adams to discuss how UR not only believes in providing solutions to empower the manufacturing workforce, but also how they are heading up the charge in partnering with educational providers to strengthen local communities. In this episode:Corey shares his personal perspective on how co-bots are being utilized by manufacturing companies to drive workforce engagement between people and automation (~time stamp 6:43)We learn more about the educational resources that Universal Robots is delivering through partnering with community technical partners and what role their involvement is playing in developing soft skills such as critical thinking for our future workforce generations (~time stamp 11:03)Corey gives us a practical road map for other automation and manufacturing companies interested in expediting their own workforce initiatives through joining forces with their own local nonprofits and technical education systems (~time stamp 24:39)More about Universal Robots: Universal Robots is an innovative robotics company of over 1,000 employees united behind a common vision – to create a world where people work with robots, not like robots. Since the sale of their first collaborative robot in 2008 their technology, along with that of their partners, has been changing the way work is done across the world. To learn more, connect with Corey Adams on LinkedIn. More about Workforce 4.0: Workforce 4.0 is an industry centric podcast featuring Manufacturing Executives from all industries coming together to emphasize how companies are partnering with technology to give people more meaningful work. As a passion project created by Ann Wyatt, Workforce 4.0 highlights crucial topics such as the increasing talent gap, success stories of real people engaged with the latest manufacturing technology and how the manufacturing workforce can transition into these exciting new roles. Video Recordings can be found on YouTube. | Your Host, Ann Wyatt | Workforce 4.0 on Spotify | Workforce 4.0 on Apple Podcasts

Containing Matters in which the Tragedy and the Comedy of the Mechanized Worker is Performed. Timestamps: Karel Čapek biography/non-spoiler discussion (0:00) spoiler plot summary/discussion (46:25) Bibliography: Klíma - Ivan - "Karel Čapek: Life and Work" (2002) Kussi, Peter (ed.) - "Toward the Radical Center: A Karel Čapek Reader" (1990)

Universal Robots... with tracks by...Rotunda Breaks, Bia Lética, R.U.R., Roser Montforte Trio, Suzanne Belaubre, Zeyn'el, Erik and the Worldly Savages, Fear Administration, Richie Phoe, The Crystal Teardrop, Awka, E.reflexion, Wanda & Nova deViator, Dubmatix Rotunda Breaks - Tinkle Bell (feat. Bia Lética) [MaAula Records] R.U.R. - Something Else [Muso Soup] Roser Montforte Trio [...] The post PCP#795… Universal Robots… appeared first on Pete Cogle's Podcast Factory.

On Industrial Talk we're onsite at FABTECH in Atlanta, GA and speaking with Joe Campbell, Senior Manager at Universal Robots about "Leveraging robots to automate and improve your manufacturing process.". Get the answers to your "Robot" questions along with Joe's incredible insight on the “How” on this Industrial Talk interview! Finally, get your exclusive free access to the Industrial Academy and a series on “Why You Need To Podcast” for Greater Success in 2023. All links designed for keeping you current in this rapidly changing Industrial Market. Learn! Grow! Enjoy! JOE CAMPBELL'S CONTACT INFORMATION: Personal LinkedIn: https://www.linkedin.com/in/jecampbell/ Company LinkedIn: https://www.linkedin.com/company/universal-robots/ Company Website: https://jobs.teradyne.com/Universal-Robots/ PODCAST VIDEO: https://youtu.be/GzMZbh2u5jc THE STRATEGIC REASON "WHY YOU NEED TO PODCAST": OTHER GREAT INDUSTRIAL RESOURCES: NEOM: https://www.neom.com/en-us AI Dash: https://www.aidash.com/ Hitachi Vantara: https://www.hitachivantara.com/en-us/home.html Industrial Marketing Solutions:  https://industrialtalk.com/industrial-marketing/ Industrial Academy: https://industrialtalk.com/industrial-academy/ Industrial Dojo: https://industrialtalk.com/industrial_dojo/ We the 15: https://www.wethe15.org/ YOUR INDUSTRIAL DIGITAL TOOLBOX: LifterLMS: Get One Month Free for $1 – https://lifterlms.com/ Active Campaign: Active Campaign Link Social Jukebox: https://www.socialjukebox.com/ Industrial Academy (One Month Free Access And One Free License For Future Industrial Leader): Business Beatitude the Book Do you desire a more joy-filled, deeply-enduring sense of accomplishment and success? Live your...

Are you ready for a ton of insights from FOUR industry leaders? On this episode of Manufacturing Happy Hour, we're whetting your Automate appetite again, sharing super-interesting highlights from Automate 2022, ahead of the 2023 event later this month. We are joined by Misa Ilkhechi, founder and VP of Product and Partnerships at Formic, Kel Guerin, co-founder and CIO at Ready Robotics, Etienne Lacroix, founder and CEO at Vention and Joe Campbell, Senior Manager of Strategic Marketing & Applications Development at Universal Robots. Hear insights, tips and experiences on topics such as robotics-as-a-service, predictions for the future, AI, and so much more. In this episode, find out: A history on robotics-as-a-service Misa Ilkhechi's journey as a startup co-founder What's exciting about the industry Transitions in user experiences What's changed and what hasn't in robotics Why we need to simplify robotics How VCs are getting involved in startups How AI can be the backbone of robotics Top insights from industry leaders Enjoying the show? Please leave us a review here. Even one sentence helps. It's feedback from Manufacturing All-Stars like you that keeps us going! Tweetable Quotes: “Manufacturing is getting consumerized. More companies need to learn how to better brand yourself in the industry beyond just the specific product you're providing.” – Etienne Lacroix, CEO and founder of Vention “When you go out into the real world, you can listen to people's problems and understand.” – Kel Guerin, co-founder and CIO at Ready Robotics “AI and machine learning is really accelerating and helping eliminate the need for point-to-point programming.” – Misa Ilkhechi, founder and VP of Product and Partnerships at Formic Links & mentions: Formic, removing the risk, expense and headache of automating your own with flexible, no CapEx contracts. They grow your business by making it easy to afford and deploy robotic automation. Ready Robotics, making your robots better by eliminating risks and challenges of deploying automation. Vention, making industrial automation better, easier and more accessible for all manufacturers by reengineering the process of designing, simulating, procuring and commissioning industrial equipment. Universal Robots, dedicated to making the world a better place, one cobot at a time. They are an innovative robotics company, helping the world work with robots, not like robots. Make sure to visit http://manufacturinghappyhour.com for detailed show notes and a full list of resources mentioned in this episode. Stay Innovative, Stay Thirsty.

Robots are getting better and cheaper—and that means they will play a much larger role in our lives. They are already reaching beyond the car plants and warehouses, where they have become commonplace, to turn their mechanised hands to making cocktails and cooking chicken. But what will that mean for the economy?On this week's podcast, hosts Tom Lee-Devlin, Alice Fulwood and Mike Bird examine whether the rise of the machines is good for workers and hear from Korea, where there are more robots per factory worker than any other country on earth. Kim Povlsen, the boss of robot-maker Universal Robots, says greater automation is needed as populations age and labour shortages become increasingly severe. And Susanne Bieller from the International Federation of Robotics, a global industry group, gives a glimpse of what the future might have in store.Sign up for our new weekly newsletter dissecting the big themes in markets, business and the economy at www.economist.com/moneytalks For full access to print, digital and audio editions, subscribe to The Economist at www.economist.com/podcastoffer Hosted on Acast. See acast.com/privacy for more information.

Robots are getting better and cheaper—and that means they will play a much larger role in our lives. They are already reaching beyond the car plants and warehouses, where they have become commonplace, to turn their mechanised hands to making cocktails and cooking chicken. But what will that mean for the economy?On this week's podcast, hosts Tom Lee-Devlin, Alice Fulwood and Mike Bird examine whether the rise of the machines is good for workers and hear from Korea, where there are more robots per factory worker than any other country on earth. Kim Povlsen, the boss of robot-maker Universal Robots, says greater automation is needed as populations age and labour shortages become increasingly severe. And Susanne Bieller from the International Federation of Robotics, a global industry group, gives a glimpse of what the future might have in store.Sign up for our new weekly newsletter dissecting the big themes in markets, business and the economy at www.economist.com/moneytalks For full access to print, digital and audio editions, subscribe to The Economist at www.economist.com/podcastoffer Hosted on Acast. See acast.com/privacy for more information.

Universal Robots joins this week's episode of The New Warehouse podcast to discuss how their robotic solutions improve the world one cobot at a time. Joe Campbell is the Senior Manager of Applications Development and Strategic Marketing at Universal Robots. Joe shares insights on the industry and how simplifying the adoption of automation is helping smaller and medium-sized businesses. Get on demand labor from Veryable with zero fees for the first month by signing up here: https://veryable.grsm.io/znj79m4huqsb

Some people still have the outdated image in their heads of China as a country of grim sweatshops and cheap manual labour. In fact, China is the country which boasts the largest number of robots deployed in the world. And that makes it a prime location for one of the newest category of industrial robot: the 'cobot', or collaborative robot.   Today's episode is with Andrew Pether, who has spent a decade in the field of robotics engineering in China, and over eight years working at the global vanguard in the world of collaborative robots: Universal Robots. So he is perfectly placed to observe the world of innovation and competition in this unique space in China.   The episode also includes catch-up interviews with: Michael Kinsey from Season 02 Episode 15 https://mosaicofchina.com/season-02-episode-25-michael-kinsey and Srinivas Yanamandra from Season 01 Episode 15 https://mosaicofchina.com/season-01-episode-15-srinivas-yanamandra Chapters 00:00 - Trailer & Intro 01:33 - Part 1 24:12 - Part 2 35:13 - Outro 39:05 - Catch-Up Interview [1] 42:53 - Catch-Up Interview [2] Subscribe to the PREMIUM version, see the visuals, and/or follow the full transcript for this episode at: https://mosaicofchina.com/season-03-episode-07-andrew-pether Join the community: Instagram https://instagram.com/oscology LinkedIn https://www.linkedin.com/company/mosaicofchina Facebook https://facebook.com/mosaicofchina WeChat https://mosaicofchina.com/wechat

The use of robots in North American workplaces has increased by 40% since the start of the pandemic and the small to medium sized businesses, which never automated before, are getting in on the act. The robotics industry has responded to the global increased demand by creating more and more customisable robots, which can be leased or hired. Ivana Davidovic explores what effect this has had - and could have in the future - on the labour markets, innovation, but also on social inequality. Ivana hears from a small restaurant owner from California who wouldn't be without her server robot Rosie any more, after months of being unable to fill vacancies. Joe Campbell from the Danish company Universal Robots and Tim Warrington from the British company Bots explain how they are taking advantage of the post-pandemic "great resignation" and which industries are next in line for a robotics boom. Karen Eggleston from Stanford University explains her research into the consequences of the use of robots in over 800 nursing homes in Japan and Daron Acemoglu from MIT discusses whether robots in workplaces will liberate their human colleagues or simply entrench inequality. Presented and produced by Ivana Davidovic (Photo: Robot waitress serving dessert and coffee on a tray in a cafe. Credit: Getty Images) *This episode was originally broadcast on 10 February 2022.

Music and Lyrics by Susannah Pearse Book by Robert Hudson Karel Čapek's ultra-prescient, retro-futurist 1921 comedy is reimagined with a massive dose of character-driven and song-centred heart. In Capek's world, robots did all the work and their human overseers cared only about enriching themselves and little about the costs to the planet. But now a new breed of robots has been grown and everything has changed. These new robots, with built-in emotion and free will, reasoned that the planet was being destroyed by intelligent life so they intervened by saving the world. The final part of their plan was to destroy themselves thus nullifying the damage they might cause to the planet. However, when push comes to shove, they can't bring themselves to do it. Instead, they must come to terms with what it means to be robot. Alpha . . . . . Anneika Rose Radius . . . . . Paul Hilton Helen 2 . . . . . Clare Foster Brown Owl . . . . . Neil McCaul Alquist . . . . . Matthew Durkan Benoit . . . . . Chris Jack Arrangements and Musical Direction: Harry Sever Production co-ordinator: Luke MacGregor Sound: Peter Ringrose Director: Sasha Yevtushenko