Podcasts about Science and technology

In this episode we are looking at a sector where IT and tech innovation is taking efficiency to a whole new level - manufacturing.Manufacturing is in a precarious position as an industry. In the global north, growth is largely stagnant, according to those same UN statistics. Even in high-growth economies like China, it's slowing down. It's also notoriously inefficient. So, can tech help? And if so, what does that look like? Joining us to discuss is Dan Klein, an advisor on data and digital transformation with a special interest in the manufacturing sector.This is Technology Now, a weekly show from Hewlett Packard Enterprise. Every week we look at a story that's been making headlines, take a look at the technology behind it, and explain why it matters to organizations and what we can learn from it. About this week's guest, Dan Klein: https://www.linkedin.com/in/dplklein/?originalSubdomain=uk Sources cited in this week's episode: UN stats on the state of global manufacturing: https://stat.unido.org/portal/storage/file/publications/qiip/World_Manufacturing_Production_2024_Q1.pdfStatista report on global manufacturing and efficiency: https://www.statista.com/outlook/io/manufacturing/worldwide Water on Mars: https://pubs.geoscienceworld.org/gsa/geology/article/52/12/939/648640/Seismic-discontinuity-in-the-Martian-crust

This is my conversation with Michael Nielsen, scientist, author, and research fellow at the Astera Institute.Timestamps:- (00:00:00) intro- (00:01:06) cultivating optimism amid existential risks- (00:07:16) asymmetric leverage- (00:12:09) are "unbiased" models even feasible?- (00:18:44) AI and the scientific method- (00:23:23) unlocking AI's full power through better interfaces- (00:30:33) sponsor: Splits- (00:31:18) AIs, independent agents or intelligent tools?- (00:35:47) autonomous military and weapons- (00:42:14) finding alignment- (00:48:28) aiming for specific moral outcomes with AI?- (00:54:42) freedom/progress vs safety- (00:57:46) provable beneficiary surveillance- (01:04:16) psychological costs- (01:12:40) the ingenuity gapLinks:- Michael Nielsen: https://michaelnielsen.org/- Michael Nielsen on X: https://x.com/michael_nielsen- Michael's essay on being a wise optimist about science and technology: https://michaelnotebook.com/optimism/- Michael's Blog: https://michaelnotebook.com/- The Ingenuity Gap (Tad Homer-Dixon): https://homerdixon.com/books/the-ingenuity-gap/Thank you to our sponsor for making this podcast possible:- Splits: https://splits.orgInto the Bytecode:- Sina Habibian on X: https://twitter.com/sinahab- Sina Habibian on Farcaster: https://warpcast.com/sinahab- Into the Bytecode: https://intothebytecode.comDisclaimer: This podcast is for informational purposes only. It is not financial advice nor a recommendation to buy or sell securities. The host and guests may hold positions in the projects discussed.

In this episode we are looking at a sector where IT and tech innovation is taking efficiency to a whole new level - manufacturing.Manufacturing is in a precarious position as an industry. In the global north, growth is largely stagnant, according to those same UN statistics. Even in high-growth economies like China, it's slowing down. It's also notoriously inefficient. So, can tech help? And if so, what does that look like? Joining us to discuss is Dan Klein, an advisor on data and digital transformation with a special interest in the manufacturing sector.This is Technology Now, a weekly show from Hewlett Packard Enterprise. Every week we look at a story that's been making headlines, take a look at the technology behind it, and explain why it matters to organizations and what we can learn from it. About this week's guest, Dan Klein: https://www.linkedin.com/in/dplklein/?originalSubdomain=uk Sources cited in this week's episode: UN stats on the state of global manufacturing: https://stat.unido.org/portal/storage/file/publications/qiip/World_Manufacturing_Production_2024_Q1.pdfStatista report on global manufacturing and efficiency: https://www.statista.com/outlook/io/manufacturing/worldwide Water on Mars: https://pubs.geoscienceworld.org/gsa/geology/article/52/12/939/648640/Seismic-discontinuity-in-the-Martian-crust

In this episode we are looking at a sector where IT and tech innovation is taking efficiency to a whole new level - manufacturing.Manufacturing is in a precarious position as an industry. In the global north, growth is largely stagnant, according to those same UN statistics. Even in high-growth economies like China, it's slowing down. It's also notoriously inefficient. So, can tech help? And if so, what does that look like? Joining us to discuss is Dan Klein, an advisor on data and digital transformation with a special interest in the manufacturing sector.This is Technology Now, a weekly show from Hewlett Packard Enterprise. Every week we look at a story that's been making headlines, take a look at the technology behind it, and explain why it matters to organizations and what we can learn from it. About this week's guest, Dan Klein: https://www.linkedin.com/in/dplklein/?originalSubdomain=uk Sources cited in this week's episode: UN stats on the state of global manufacturing: https://stat.unido.org/portal/storage/file/publications/qiip/World_Manufacturing_Production_2024_Q1.pdfStatista report on global manufacturing and efficiency: https://www.statista.com/outlook/io/manufacturing/worldwide Water on Mars: https://pubs.geoscienceworld.org/gsa/geology/article/52/12/939/648640/Seismic-discontinuity-in-the-Martian-crust

It's the annual chance for students to show their science experiments to the world. We touch base with the coordinator of the provincial high school science fairs to hear what's in store at this year's competition. (Krissy Holmes with Yvonne Dawe)

Stephen Wolfram answers questions from his viewers about the future of science and technology as part of an unscripted livestream series, also available on YouTube here: https://wolfr.am/youtube-sw-qaQuestions include: What, exactly, is an "AI agent"? "Agentic"? It seems like nobody knows what those words actually mean today. - Can you tell us about the future of media/information consumption? Will we become a society of "AI summaries" as our main form of information gathering? - Before AI summaries, there were encyclopedias and textbooks and CliffsNotes and such, and while they were useful and convenient, they never became de facto. - When will we get the first AI/robot news reporter? I see these being useful in cases of dangerous live broadcasting like hurricanes, to keep people up to date. - How far are we from LLMs generating a Stephen Wolfram–style long-form post, with similar elucidations, based on a short prompt of the key insight or topic? - When you say the teaching is delegated to the machine, are you saying that the machine is telling the student what to think about instead of just answering questions? - Can a sentient AI "understand" how humans learn? If we would delegate to them the teaching of human kids, would that be compatible with a biological point of view? - Have you ever considered entering the robotics space? A Wolfram Robotics, so to speak? - But if people delegate all calculations to the machines, then might it not happen that the machine actually learns to ask better questions than the humans can, since the machines have the experience built from the calculations and the humans don't? - What will AI not be able to do? Do you believe that something like that exists? - Tiny humans care about those questions about clouds and trees. - Robotic trade shows sound interesting. The company Boston Dynamics shows a lot of progress in the humanoid department. - Anything to say about the future of pi? (Happy Pi Day!) - ​​Do you expect LLM development to hit significant diminishing returns within the next 2–3 years? - Automated theorem proving is so interesting. I'm trying to figure out how to make a theorem prover that demonstrably collapses a/the wavefunction. Like Stephen said; quantum LLMs.

The annual Two Sessions are in full swing in Beijing! This year's top political meetings highlight science and technology as prominent topics. From artificial intelligence to cutting-edge research, how is China navigating its path toward the future of innovation?Round Table's Yushan interviews NPC deputy Cui Yan, director of the China-Germany AI Institute at Wuyi University. (06:43-18:00)On the show: Heyang, Steve Hatherly & Yushan

Stephen Wolfram answers questions from his viewers about the future of science and technology as part of an unscripted livestream series, also available on YouTube here: https://wolfr.am/youtube-sw-qaQuestions include: In the spirit of Valentine's Day, what is the future of bionic hearts? Would this be a way to make humans more efficient? - How would you think about a world in which all of the work is done by robots and AI? - Architects using computerized/AI tools will result in less demand for architects overall, thus less people getting to do architecture. - Do you think the current methods of training and using AI/LLM are here to stay for a while, or is there a real possibility of an alternative machine learning approach appearing and being superior and more efficient? - What would you think about spiking neural nets with a new non-differentiable learning algorithm? Is it the path to smarter AI? - ​​I read from an expert that correcting the errors in a later prompt results in more errors. It's better to go back to the original prompt. - Do you or your team actively work on the alignment issues with AI and are you worried about the next 10 years with regard to that? - Do you see a danger in the trend toward anthropomorphic AI and providing AI systems with human-like attributes? - I wonder what will happen when future AI models are trained on material that shows them the actual results of their past actions. - What are some near- and medium-term breakthroughs that could potentially make the creator a trillionaire? Off the top of my head, fusion power, far more efficient batteries or novel propulsion systems.

Stephen Wolfram answers questions from his viewers about the future of science and technology as part of an unscripted livestream series, also available on YouTube here: https://wolfr.am/youtube-sw-qa Questions include: Do you imagine humanity exploring "inner space" (i.e. virtual worlds ) more than "outer space"? - Could the spin of electrons lead to a communications system? - How would we evolve to live in space? Would we even evolve, without going into space? - Why is it you always wear the same checked shirt with the right-side collar slightly flattened...almost AI-like... - Do you think that the rules of human biology are computationally reducible, so that we eventually will be able to understand the aging of our cells? - The latest LLMs are doing very advanced mathematics. Do you think we can get AI to the point that it is solving open problems and creating new mathematics? - What is the next step for LLMs to advance? - Do a conversation with Joscha Bach please—it'll be amazing! - Have any of these LLM agents been trained on NKS? - Thoughts on this new "external reasoning" paradigm or more generally, reinforcement learning + LLMs? - How many years away do you think we are from grey goo (self-replicating nanomachines), if ever? - Are people considering (re-)training LLMs completely on scientific high-quality peer-reviewed papers?

Stephen Wolfram answers questions from his viewers about the future of science and technology as part of an unscripted livestream series, also available on YouTube here: https://wolfr.am/youtube-sw-qa Questions include: How would you think about approaching science in the future? Should we accept AI's role in future science or still pursue science without the help of AI? - What do you think the future of software development will be in the next decade or so? I hear very conflicting POVs from friends. - Thoughts on LLM use in academic writing (including student theses and dissertations)? - How many new languages do we see a year these days? It wasn't long ago when I was hearing about new languages every now and then... - ​​I'm using an LLM to help me through a book on thermodynamics right now. Nice to just throw misunderstandings at it. - LLMs can learn languages in a few hours. How would you think about making humans able to learn as fast? - ​Hypothetically speaking, if an AI system has access to all the images, cameras of the world, can it think through images, videos as if there is no language? Can it surpass human intelligence like that? - Interestingly, current AI models are very good at creating natural images of people, but it totally fails for electronic circuits. - How would you think about copyright, trademarks and other intellectual properties in the age of AI? - How do we know this is actually Stephen Wolfram? It could just be another Oracle trained in long answers.

Sergey Young, a leader in the field and author of "The Science and Technology of Growing Young," explores the potential for humans to live up to 150 or even 200 years through advancements in gene therapy, organ regeneration, and lifestyle changes. Young emphasizes the importance of personal responsibility in health and shares insights into emerging technologies that could extend lifespans, and encourages listeners to take proactive steps towards a healthier, longer life by staying informed and making conscious health decisions. Buy his book here: 'The Science and Technology of Growing Young'

Wireless cellular communications keep growing as an imperative for emergency responders. The Homeland Security Department's Science and Technology Directorate has an ongoing research program for development of cellular for details, I spoke with the technology manager for the Science and Technology communications and networking technology center, Sridhar Kowdley, Here's an excerpt. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Stephen Wolfram answers questions from his viewers about the future of science and technology as part of an unscripted livestream series, also available on YouTube here: https://wolfr.am/youtube-sw-qa Questions include: What is your view on LLMs with regard to computational irreducibility—i.e. will they hit a computational irreducibility wall anytime soon? - Do you think there's any low-hanging fruit in computational psychology? - I'm not seeing how intuition is much different than LLMs. It's hard to identify what exact elements created an intuition. - They have made the LLM be so nice to keep one engaged. - It feels real when talking to advanced voice mode until it becomes repetitive, then at that point I feel inclined to program it to act more realistic. - I prefer the skeptical collaborator LLM personality. - Would creating consciousness in a machine and then conducting mind experiments on it be immoral? I feel like it's an autonomous entity at that point. - As AI becomes a dominant tool for information dissemination, how do we ensure that it supports critical thinking rather than passive consumption? - What role should education play in preparing individuals to critically engage with AI-generated content? - Does the use of bots and LLMs in sensitive areas—education, healthcare or governance—risk dehumanizing these vital sectors? - Are LLMs changing how people do physics now, especially on the frontier areas, say in coming up with a unified theory? - Instead of risking massive amounts of capital on projects that might fail, can we use LLMs to scope out the interesting pockets of reducibility so that greater percentages of our investments succeed? - Can you speak to how NOAA is using cellular automata to simulate weather patterns? - The way you ask LLMs questions is an art. Asking it the same thing using different words has brought back interesting results. - It would be an interesting question to know if the conceptualization of concepts by LLMs is limited by language, as scientists say the LLMs create an intermediate conceptualization. - Assuming merging human with digital AI would be possible, what do you think would be the effects in terms of "observing" reality? - ​​Notebook Assistant IS revolutionary! Thank you, I look forward to the next iterations.

In the tenth episode of the CommonHealth Live! series, Katherine E. Bliss will sit down with Stacy Aguilera-Peterson, Deputy Director for Research, U.S. Global Climate Change Research Program, White House Office of Science and Technology Policy, and Josh Glasser, Assistant Director for Combatting Antimicrobial Resistance & Integrated Health Innovation (One Health), White House Office of Science and Technology Policy.  The discussion will focus on how the Biden administration has sought to define the relationship between climate change and health, the extent to which climate-related impacts on health can be seen as threats to national security, and opportunities for stakeholders in research, program implementation, service delivery, and the private sector to collaborate with U.S. government agencies and international partners on addressing global challenges at the intersection of climate change and health.  This event is made possible by the generous support of the Wellcome Trust and GSK.​​​

This podcast features quantum physicist Mete Atatüre of the University of Cambridge

Stephen Wolfram answers questions from his viewers about the future of science and technology as part of an unscripted livestream series, also available on YouTube here: https://wolfr.am/youtube-sw-qa Questions include: ​​Do you foresee Notebook Assistant breaking out of the notebook in the future? It could be a great general voice assistant which knows about me personally and works like Iron Man's Jarvis. - Men on Mars by 2030? 16:28 Can you talk about the future of your Physics Project? - What's the future of an observer? - In many models of the universe, there are always small variations that lead to a division by zero, which leads the programmer to put in a fix. Could black holes be that fix in our universe? - What is your prediction for the future of science and technology in 2025? - What is an area physics might leak into that will be unexpected in the future? - Will you ever write another book like A New Kind of Science? - Dr. Wolfram could choose a dozen of his blog posts and publish them as a book and it would make a terrific book. - ​​How might LLMs enhance future scientific development? What direction do you envision for tools like Mathematica, given that LLMs can interact with humans without requiring them to know how to program? - What is your opinion on ethical frameworks being applied to AI tools? What sort of ethics do you think should be applied when considering machine learning/AI tool research?

Today, we're exploring a topic that has impacted so many people around the world, including some of my closest friends and students. I'll admit that I didn't know much about IVF, as I haven't had personal experience with it, so I set out to learn more. Interestingly, my cousin is an expert on the subject, and one day shared with me about the the history of IVF and the globalization and the technology behind it. From that point on, I knew I had to have her on the podcast! Today on Yoga | Birth | Babies, I have Dr. Donna J. Drucker. Donna is the assistant director of scholarship and research development at the Columbia University School of Nursing. She has a master of library science degree and a PhD in history, both from Indiana University. She is the author of four books and many articles and shorter publications, and has a fifth book on abortion under contract. While many of us know the outcome that we're hoping for with IVF, and perhaps a bit about the procedures involved, Donna shares insight on aspects such as the donors, the surrogacy, the laws, and so much more. We also talk about how race and appearance generally factor into decision-making, along with many other things I had not thought about. I am really excited for you to hear Donna's perspective on IVF as a researcher in this field. Get the most out of each episode by checking out the show notes with links, resources and other related podcasts at: prenatalyogacenter.com Don't forget to grab your FREE guide, 5 Simple Solutions to the Most Common Pregnancy Pains HERE  If you love what you've been listening to, please leave a rating and review! Yoga| Birth|Babies (Apple) or on Spotify! To connect with Deb and the PYC Community:  Instagram & Facebook: @prenatalyogacenter Youtube: Prenatal Yoga Center Learn more about your ad choices. Visit megaphone.fm/adchoices

China & the Hill is a weekly newsletter covering Washington DC's China-focused debates, actions, and reactions. Readers will receive a curated digest of this week's most pressing U.S.-China news and its impact on businesses and policy, and can listen to the top stories in podcast form on the U.S.-China Podcast. China & the Hill is published by the National Committee on U.S.-China Relations, the leading nonprofit nonpartisan organization that encourages understanding of China and the United States among citizens of both countries. Subscribe, or read the latest edition.

China's push to revise the international security order entered a new phase with the launch of the Global Security Initiative (GSI) in April 2022. A few months after Xi Jinping proposed GSI, host Bonnie Glaser did a podcast episode with Manoj Kewalramani to discuss the drivers behind GSI and analyze the initial statements outlining its content. More than 2 ½ years have elapsed since then, and scholars have begun to investigate how China is implementing GSI in various regions around the world. A new report from the United States Institute of Peace (USIP) examines how GSI is being operationalized and received in two priority regions of Chinese foreign policy: mainland Southeast Asia and Central Asia. The study draws on field research in both regions. The report is titled “China's Global Security Initiative Takes Shape in Southeast and Central Asia.” The report has three authors: Bates Gill, Carla Freeman and Alison McFarland. Bonnie Glaser is joined by Bates Gill for this episode to discuss the report's findings. Bates is a senior fellow with the National Bureau of Asian Research, a Senior Associate Fellow with the Royal United Services Institute, and associated with USIP.Timestamps[00:00] Start[01:53] Objectives of China's Global Security Initiative [04:22] GSI as an Additive or a Replacement[07:21] Fieldwork in Southeast and Central Asia[12:06] Concerns about China's Intentions and Influence[15:24] GSI Initiatives and Sources of Funding[19:58] GSI and the Shanghai Cooperation Organisation[23:55] Moscow's View of GSI [29:27] Implications of GSI for the United States

Stephen Wolfram answers questions from his viewers about the future of science and technology as part of an unscripted livestream series, also available on YouTube here: https://wolfr.am/youtube-sw-qa Questions include: Since you talked about the history of quantum mechanics, how about the future? - Will AI tutors take over all education? - Will traditional classrooms still exist 20 years from now, or will everything be online? - Are there enough guardrails in place for a K-12 application of AI tutors? - ​​So many kids need real information to grow on, which can be provided by AI, but there still needs to be human encouragement to motivate! - Do you think that medical ethics will change with the rapid advance of gene therapies? - Yes, scientists have indeed created glow-in-the-dark rabbits. - Could bacteria or viruses evolve to outsmart all our medical advancements? - Will AI-driven biological evolution make Darwinian evolution obsolete ? How do we prevent the automatic synthesis of biological virus by AI? - When (if at all) do you anticipate we'll have mostly "softwarized" humans themselves, meaning we can reprogram ourselves just as easily as we reprogram computer systems? - Speaking of biological evolution, can this help us humans break the age limit, let's say over two centuries?

In this episode we are looking at private cellular networks, a hot-topic in the networking space.In 2023, the 5G private network market was worth $2 billion. That's expected to grow to over $30 billion by 2030 (see Kaleido report below), despite 5G being unlikely to overtake 4G as the dominant private networking technology until 2027.So, why is private 5G networking such a growth area, and what could it mean for our organizations? Joining us to discuss is Richard Band, HPE's Senior Sales Director for Private Networking in Europe, the Middle East, Africa, and Latin America.This is Technology Now, a weekly show from Hewlett Packard Enterprise. Every week we look at a story that's been making headlines, take a look at the technology behind it, and explain why it matters to organizations and what we can learn from it. Do you have a question for the expert? Ask it here using this Google form: https://forms.gle/8vzFNnPa94awARHMA About this week's guest: Richard Band: https://www.linkedin.com/in/richardband76?originalSubdomain=fr Sources cited in this week's episode:Kaleido Intelligence report into 5G Private Networks: https://kaleidointelligence.com/private-cellular-networks-annual-spend/GrandView research into 5G Private Networks: https://kaleidointelligence.com/private-cellular-networks-annual-spend/ Uranus' unusual moons: https://www.nature.com/articles/s41550-024-02389-3#:~:text=The%20inner%20three%20of%20the,present%20beneath%20their%20surfaces47%2C

In this episode we are looking at private cellular networks, a hot-topic in the networking space.In 2023, the 5G private network market was worth $2 billion. That's expected to grow to over $30 billion by 2030 (see Kaleido report below), despite 5G being unlikely to overtake 4G as the dominant private networking technology until 2027.So, why is private 5G networking such a growth area, and what could it mean for our organizations? Joining us to discuss is Richard Band, HPE's Senior Sales Director for Private Networking in Europe, the Middle East, Africa, and Latin America.This is Technology Now, a weekly show from Hewlett Packard Enterprise. Every week we look at a story that's been making headlines, take a look at the technology behind it, and explain why it matters to organizations and what we can learn from it. Do you have a question for the expert? Ask it here using this Google form: https://forms.gle/8vzFNnPa94awARHMA About this week's guest: Richard Band: https://www.linkedin.com/in/richardband76?originalSubdomain=fr Sources cited in this week's episode:Kaleido Intelligence report into 5G Private Networks: https://kaleidointelligence.com/private-cellular-networks-annual-spend/GrandView research into 5G Private Networks: https://kaleidointelligence.com/private-cellular-networks-annual-spend/ Uranus' unusual moons: https://www.nature.com/articles/s41550-024-02389-3#:~:text=The%20inner%20three%20of%20the,present%20beneath%20their%20surfaces47%2C

The research, development, and production that takes place inside science + technology facilities is highly complex and technical. It's no surprise that the design work that brings these environments to life demands the same level of precision. Design, engineering, and contractor teams partner closely to coordinate the advanced MEP systems and intricate space planning that maintain sterile, safe, and efficient operations.On this episode of Side of Design, we're joined by a couple of our own trusted partners, who add their unique perspectives on what sets these complex projects up for success—and how each discipline contributes. Bringing deep experience in the science + tech market, Partner and Mechanical Engineer Nic Igl from Dunham, Horwitz Inc. CEO Emeritus Bill McKoskey, and BWBR Principal Nate Roisen dig into developing high-tech environments.If you like what we are doing with our podcasts please subscribe and leave us a review!You can also connect with us on any of our social media sites!https://www.facebook.com/BWBRsolutionshttps://twitter.com/BWBRhttps://www.linkedin.com/company/bwbr-architects/https://www.bwbr.com/side-of-design-podcast/

Martifer-Silverado Fund I, LLC v. Zhongli Science and Technology Group Co., Ltd.

In this episode we are looking at how AI is forcing us to rethink efficiency - and pushing us to do better.As the energy usage of our IT infrastructure - especially data centers - creeps ever higher, organizations are thinking more seriously about how to make the whole process more efficient, and get more out of the tech and resources we have - potentially making AI not only more sustainable, but also cheaper.And that's where today's guest comes in. Discussing the topic with us is Dr John Frey, Chief Technologist for Sustainable Transformation at Hewlett Packard Enterprise.This is Technology Now, a weekly show from Hewlett Packard Enterprise. Every week we look at a story that's been making headlines, take a look at the technology behind it, and explain why it matters to organizations and what we can learn from it. Do you have a question for the expert? Ask it here using this Google form: https://forms.gle/8vzFNnPa94awARHMA About this week's guest: Dr John Frey: https://sustainablebrands.com/is/john-frey Sources cited in this week's episode:World Economic Forum statistics on data center energy use: https://www.weforum.org/agenda/2024/07/generative-ai-energy-emissions/Goldman Sachs report into growing AI energy demands: https://www.goldmansachs.com/insights/articles/AI-poised-to-drive-160-increase-in-power-demand Five levers for IT efficiency: https://www.hpe.com/h22228/video-gallery/us/en/Discover2023-26015/sustainable-it--a-strategic-approach-to-efficiency/video/?lang=en-USJapan's autonomous highway: https://www.youtube.com/watch?v=W0v0zAxu5Wo

Stephen Wolfram answers questions from his viewers about the future of science and technology as part of an unscripted livestream series, also available on YouTube here: https://wolfr.am/youtube-sw-qa Questions include: Do you think AI will ever actually "understand" things like humans do? - Do you think we'll ever understand everything about the universe, or will there always be mysteries? - ​​If there are aliens, they probably have AI, right? - ​​Do you think that the aging process is something "programmed" the same way as the developmental process, or we just have wear and tear more like a car, or something else? - I'm a big fan of the game Cyberpunk 2077, which revolves around the idea of futuristic technology and digital consciousness. Do you think humans being able to digitize their mind or soul would be beneficial to our progression? - Recently, in my job, I've been processing semi-corrupt data from 50-year-old magnetic tape, and we're having to decide on the best way to handle the various types of corruption. What are your thoughts on the present and future of information/data storage and preservation given the sheer volume and the "humidity and mold" that threaten modern digital storage? - If parts of the brain are removed in stages (rather than all at once) and the digital implants are properly synced with the remaining brain parts between each stage, wouldn't this solve the "is it me or not me" problem? - Questions about preservation of things. ​​- I wonder how hungry you would be after waking up after being frozen for 500 years. - Do we know if all human thinking works the same way?

In this episode we are looking at how AI is forcing us to rethink efficiency - and pushing us to do better.As the energy usage of our IT infrastructure - especially data centers - creeps ever higher, organizations are thinking more seriously about how to make the whole process more efficient, and get more out of the tech and resources we have - potentially making AI not only more sustainable, but also cheaper.And that's where today's guest comes in. Discussing the topic with us is Dr John Frey, Chief Technologist for Sustainable Transformation at Hewlett Packard Enterprise.This is Technology Now, a weekly show from Hewlett Packard Enterprise. Every week we look at a story that's been making headlines, take a look at the technology behind it, and explain why it matters to organizations and what we can learn from it. Do you have a question for the expert? Ask it here using this Google form: https://forms.gle/8vzFNnPa94awARHMA About this week's guest: Dr John Frey: https://sustainablebrands.com/is/john-frey Sources cited in this week's episode:World Economic Forum statistics on data center energy use: https://www.weforum.org/agenda/2024/07/generative-ai-energy-emissions/Goldman Sachs report into growing AI energy demands: https://www.goldmansachs.com/insights/articles/AI-poised-to-drive-160-increase-in-power-demand Five levers for IT efficiency: https://www.hpe.com/h22228/video-gallery/us/en/Discover2023-26015/sustainable-it--a-strategic-approach-to-efficiency/video/?lang=en-USJapan's autonomous highway: https://www.youtube.com/watch?v=W0v0zAxu5Wo

The Hoover Institution Program on the US, China, and the World held Critical Issues in the US-China Science and Technology Relationship on Thursday, November 7th, 2024 from 4:00 pm - 5:30 pm PT at the Annenberg Conference Room, George P. Shultz Building.  Both the United States and the People's Republic of China see sustaining leadership in science and technology (S+T) as foundational to national and economic security. Policymakers on both sides of the Pacific have taken action to promote indigenous innovation, and to protect S+T ecosystems from misappropriation of research and malign technology transfer. In the US, some of these steps, including the China Initiative, have led to pain, mistrust, and a climate of fear, particularly for students and scholars of and from China. Newer efforts, including research security programs and policies, seek to learn from these mistakes. A distinguished panel of scientists and China scholars discuss these dynamics and their implications. What are the issues facing US-China science and technology collaboration? What are the current challenges confronting Chinese American scientists? How should we foster scientific ecosystems that are inclusive, resilient to security challenges, and aligned with democratic values?  Featuring Zhenan Bao is the K.K. Lee Professor of Chemical Engineering, and by courtesy, a Professor of Chemistry and a Professor of Material Science and Engineering at Stanford University. Bao directs the Stanford Wearable Electronics Initiate (eWEAR). Prior to joining Stanford in 2004, she was a Distinguished Member of Technical Staff in Bell Labs, Lucent Technologies from 1995-2004. She received her Ph.D. in Chemistry from the University of Chicago in 1995. Bao is a member of the National Academy of Sciences, the National Academy of Engineering, the American Academy of Arts and Sciences and the National Academy of Inventors. She is a foreign member of the Chinese Academy of Science. Bao is known for her work on artificial electronic skin, which is enabling a new-generation of skin-like electronics for regaining sense of touch for neuro prosthetics, human-friendly robots, human-machine interface and seamless health monitoring devices. Bao has been named by Nature Magazine as a “Master of Materials”. She is a recipient of the VinFuture Prize Female Innovator 2022, ACS Chemistry of Materials Award 2022, Gibbs Medal 2020, Wilhelm Exner Medal 2018, L'Oréal-UNESCO For Women in Science Award 2017. Bao co-founded C3 Nano and PyrAmes, which produced materials used in commercial smartphones and FDA-approved blood pressure monitors. Research inventions from her group have also been licensed as foundational technologies for multiple start-ups founded by her students. Yasheng Huang (黄亚生) is the Epoch Foundation Professor of Global Economics and Management at the MIT Sloan School of Management. He also serves as the president of the Asian American Scholar Forum, a non-governmental organization dedicated to promoting open science and protecting the civil rights of Asian American scientists. Professor Huang is a co-author of MIT's comprehensive report on university engagement with China and has recently contributed an insightful article to Nature on the US-China science and technology agreement. For more information, you can read his recent article in Nature here. Peter F. Michelson is the Luke Blossom Professor in the School of Humanities & Sciences and Professor of Physics at Stanford University. He has also served as the Chair of the Physics Department and as Senior Associate Dean for the Natural Sciences. His research career began with studies of superconductivity and followed a path that led to working on gravitational wave detection. For the past 15 years his research has been focused on observations of the Universe with the Fermi Gamma-ray Space Telescope, launched by NASA in 2008. He leads the international collaboration that designed, built, and operates the Large Area Telescope (LAT), the primary instrument on Fermi. The collaboration has grown from having members from 5 nations (U.S., Japan, France, Italy, Sweden) to more than 20 today, including members in the United States, Europe, China, Japan, Thailand, South America, and South Africa. Professor Michelson has received several awards for the development of the Fermi Observatory, including the Bruno Rossi Prize of the American Astronomical Society. He is an elected member of the American Academy of Arts and Sciences and a Fellow of the American Physical Society. He has served on a number of advisory committees, including for NASA and various U.S. National Academy of Sciences Decadal Surveys. In 2020-21, he co-directed an American Academy of Arts and Sciences study, Challenges for International Scientific Partnerships, that identified the benefits of international scientific collaboration and recommended actions to be taken to address the most pressing challenges facing international scientific collaborations. Glenn Tiffert is a distinguished research fellow at the Hoover Institution and a historian of modern China. He co-chairs Hoover's program on the US, China, and the World, and also leads Stanford's participation in the National Science Foundation's SECURE program, a $67 million effort authorized by the CHIPS and Science Act of 2022 to enhance the security and integrity of the US research enterprise. He works extensively on the security and integrity of ecosystems of knowledge, particularly academic, corporate, and government research; science and technology policy; and malign foreign interference.  Moderator Frances Hisgen is the senior research program manager for the program on the US, China, and the World at the Hoover Institution. As key personnel for the National Science Foundation's SECURE program, a joint $67 million effort authorized by the CHIPS and Science Act of 2022, Hisgen focuses on ensuring efforts to enhance the security and integrity of the US research enterprise align with democratic values, promote civil rights, and respect civil liberties. Her AB from Harvard and MPhil from the University of Cambridge are both in Chinese history.  ​

Episode: 1273 Some surprises in the 1852 Annual of Scientific Discovery.  Today, an old book takes stock of science and art in 1852.

Stephen Wolfram answers questions from his viewers about the future of science and technology as part of an unscripted livestream series, also available on YouTube here: https://wolfr.am/youtube-sw-qa Questions include: ​​I read that recent advancements in AI research are partly based on McCulloch and Pitts's famous paper on neural nets. Do you think there are more ideas worthwhile to explore again in cybernetics? - What is the future of technology about speech recognition? - How do I know if I am speaking to a human? The future is crazy! - Future of finance! Talk about AI talking to AI for trading. - Getting an AI to understand economics seems like it'll be quite a step. - What's the difference between a computational and a mathematical model? - Have you seen Blaise Agüera y Arcas's recent paper on self-replicating programs? Published on arXiv recently. - Wouldn't chaos theory be an example of the computational case? You know the rules of the system but have to set the initial conditions to see how it plays out. - How do we prepare for the risk of bots/worms invading everyday life as we become more dependent on technology?

OSTP Director Arati Prabhakar has been waving the flag on the importance of federal research and development to drive American innovation. In this episode, host Tammy Haddad interviews Prabhakar on her background in technology and government, the White House's focus on increasing R&D for AI and national security, and how she believes science and technology will continue driving U.S. competitiveness around the world.

On today's podcast, Stephanie and Tara take a break from politics to talk about one of their favorite creepy topics – advancements being made in science and technology, specifically in the realm of robots. Your hosts discuss the controversy with Elon Musk's latest Optimus robot reveal at a recent event in California, China creating the world's first whale shark robot, robotic vacuums being hacked and spewing racial slurs at people, Yale researchers developing the world's first self-amputating soft robot, robotic brains developed in the U.S. that allow Blackhawk helicopters to function autonomously without humans on board, and how scientists have developed a way for robots to operate without the need for electricity. Read the blog and connect with Tara and Stephanie on TikTok, X, YouTube, Rumble, IG, Facebook, Parler, and Truth Social. https://msha.ke/unapologeticallyoutspoken/ Want to support the podcast and join the conversation? Head over to our Etsy store and pick up a cool UO Podcast sticker. https://www.etsy.com/shop/UOPatriotChicks  

Stephen Wolfram answers questions from his viewers about the future of science and technology as part of an unscripted livestream series, also available on YouTube here: https://wolfr.am/youtube-sw-qa Questions include: ​​What research is essential for putting people on Mars? - Any comments on the future of arts and literature in the face of AI-related challenges? Will individual creative impulses forever be subjugated to AI? - How often do you find yourself thinking about the future of science and technology? Does this affect how you prioritize certain projects (say, wait five years because the tech will be better to handle it)? - Is there a chance we will ever have giant insects or animals akin to those that lived during the age of dinosaurs reappear? - How can we combine LLMs with first-generation AI algorithms like "MiniMax" and tree search? At the moment, LLMs can't even play tic-tac -toe. - ​​Have you heard about AI reading minds through brain waves and fMRI, researched by Michael Blumenstein and Jerry Tang? - Have your thoughts on the future of education changed at all recently? - Would you ever go to Mars? - Are the challenges different from colonizing the bottom of the ocean, other than obvious logistics? - ​​Given the uptick in robotics advances, including humanoid, I wonder if there will even be a point to sending humans to Mars anymore, beyond tourism. - ​​Wasn't there a significantly higher percentage of O2 back then? - A pygmy Stegosaurus would be adorable! - ​​I would not like to go to Mars. It seems boring. They don't even have a Starbucks. - How might the Physics Project help advance technologies like fusion power?

The Department of Health and Human Services is working on a new strategic plan for the use of artificial intelligence across the entire breadth of its mission, the department's top AI official said Tuesday. Micky Tripathi — HHS's acting chief AI officer and its assistant secretary for technology policy — said at the NVIDIA AI Summit in Washington, D.C., that the AI strategic plan should arrive sometime in January and that it will span “the entire, you know, sort of breadth of what the department covers. Budget constraints on research and development are limiting science and technology efforts across the federal landscape, according to a quadrennial White House report released this week and a top Biden administration official.The Quadrennial Science and Technology Review Report, unveiled Monday, noted that federal agencies are working to manage current funding for federally funded R&D, but the administration is in a position where it must “continue advocating for robust” levels.