Podcasts about Computer science

Learn how to JournalSpeak ➡️  https://bit.ly/3IsmzN4  At 21, Jay was living an extraordinary life — an international freestyle skier and full-time Math and Computer Science student. After winning a national ski competition, he caught Covid — and everything changed. As the virus faded, Jay was left with crushing fatigue that spiraled into ME/CFS and Long Covid. Within months, he became 97% bedbound — unable to walk to the bathroom or care for himself. His parents became his lifeline, researching desperately while he struggled to survive. Then Jay's father found Gary (Season 3, Episode 26) who introduced them to my work, and Jay's cognitive symptoms began to lift. With a consistent JournalSpeak practice and MindBody mindset, he is now completely recovered - competing and training again harder than ever. Jay's story is a stunning reminder that there is more to illness than meets the eye. Join us for this incredible conversation. XOOX n. PLEASE RATE AND REVIEW THE PODCAST HERE TO HELP OTHERS FIND IT! Producer: Lisa Eisenpresser ~~~~~ SUPPORT:

Garrett Schumacher is Business Unit Director of Product Security at Velentium Medical and the co-founder and CTO of GeneInfoSec. Garrett discusses his journey from medical student to cybersecurity expert and educator, dedicating his career to securing medical devices. He shares insights on the intersection of cybersecurity and healthcare, highlighting the challenges of protecting genetic data. Garrett gives honest advice about navigating cybersecurity and data privacy concerns, how to be a good leader, and what medtech startups should consider as they design and develop their devices.    Guest links: https://velentiummedical.com/ | https://www.geneinfosec.com/  Charity supported: Save the Children Interested in being a guest on the show or have feedback to share? Email us at theleadingdifference@velentium.com.  PRODUCTION CREDITS Host & Editor: Lindsey Dinneen Producer: Velentium Medical   EPISODE TRANSCRIPT Episode 068 - Garrett Schumacher [00:00:00] Lindsey Dinneen: Hi, I'm Lindsey and I'm talking with MedTech industry leaders on how they change lives for a better world. [00:00:09] Diane Bouis: The inventions and technologies are fascinating and so are the people who work with them. [00:00:15] Frank Jaskulke: There was a period of time where I realized, fundamentally, my job was to go hang out with really smart people that are saving lives and then do work that would help them save more lives. [00:00:28] Diane Bouis: I got into the business to save lives and it is incredibly motivating to work with people who are in that same business, saving or improving lives. [00:00:38] Duane Mancini: What better industry than where I get to wake up every day and just save people's lives. [00:00:42] Lindsey Dinneen: These are extraordinary people doing extraordinary work, and this is The Leading Difference. Hello and welcome back to another episode of the Leading Difference Podcast. I'm your host, Lindsey, and today I am excited to introduce you to my guest, Garrett Schumacher. Garrett is the Business Unit Director of Product Security at Velentium Medical, where he has led the cybersecurity efforts on 200 plus medical device products and systems. He is the co-founder and CTO of GeneInfoSec, a startup focused on securing the world's most valuable and private data, our genetic information. In his work, Garrett has trained engineers, developers, manufacturers, healthcare delivery organizations, and laboratories across the globe in cybersecurity, and is an active member of several related industry working groups. He also teaches secure product development and medical device cybersecurity at the graduate level for the University of Colorado Boulder's Department of Computer Science as an adjunct professor in the little bit of time left in his days, Garrett is either rock climbing or spending time with family. Thank you so much for being here, Garrett. I'm so excited to speak with you today. [00:01:48] Garrett Schumacher: Yeah. Thank you for having me. [00:01:49] Lindsey Dinneen: Of course. Well, I'd love, if you wouldn't mind, by starting out and sharing a little bit about yourself and your background and what led you to medtech. [00:01:59] Garrett Schumacher: Yeah. So I guess my background, I mean, it started as I always thought I was gonna be a doctor. I did my undergrad in physiology, thought I was gonna do med school, the whole nine yards. And towards the end of my, let's say junior year, just started being like, "I don't think this is what I want to do." I always had a fascination with tech. I was really involved with a lot of the tech groups on campus at the University of Colorado Boulder, early days of Hack CU, one of the largest collegiate hackathons. And I really regretted not doing a computer science degree, but I was three quarters of the way done. So sometimes you just gotta finish it up, right? Get the degree, find out what's next. After that I went and did a master's in genetics. I wasn't sure exactly what I wanted to do either yet, but hey, a master's degree is not a bad thing to do if you're unsure. And actually I was in a PhD program and dropped out early with a master's. Different story. But yeah. And then I started I helped the University of Colorado Boulder start their cybersecurity programs. So it was getting into the cyber world. I did a, I guess it was a bootcamp, at the University of Denver in cybersecurity. And so that all culminated in me always focusing on healthcare and cybersecurity together. And then COVID happened and that made the world change for a lot of people. And basically I was looking for a new job and I found Velentium, and I think that's where it really spoke to me, where I could do my love of medical and human health with cybersecurity and technology development. And so yeah, I think that's really how I got into it. I had been doing projects related to that before, but Velentium's where it really culminated and I found a place that let me do all the things I love, not just one or the other. [00:03:39] Lindsey Dinneen: That's awesome and such a wonderful gift. So can you share a little bit about what you do now and sort of your growth trajectory even throughout Velentium 'cause I know you've had quite an interesting and exciting career through the company as well. [00:03:56] Garrett Schumacher: Yeah. Yeah. So I started out as a cybersecurity engineer, and just started helping internal projects, external projects with groups that were seeking FDA approval on a medical device and trying to navigate these kind of new cybersecurity requirements. That's where it started. And even since then I've been, so I teach a class at the University of Colorado Boulder on Medical Device Cybersecurity. We're going into our sixth year of that, seventh semester, starting here in the fall. And I also co-founded a startup in the genetic information security space. So, and we can talk about that later. And so I, yeah, talk about what I do. It's all of those things and, it's not, doesn't happen in 40 hours, I promise you that. But after working as a cyber engineer for about a year, I think I got promoted to like Senior Staff Cybersecurity Engineer. Then probably three years ago, I took over more of an operational leadership role within the unit, the team, where I was doing project management and overseeing the other engineers and still doing engineering work. Definitely decided project management is not for the faint of heart and apparently my heart's very faint. It's not for me. So anyways, and then fast forward to just here in like January, February, Velentium made some really awesome changes. They rebranded as Velentium Medical to make sure everyone knew we do medical. And then they created four business units so that they could really say, "Look, we have different core areas of our business. Each of them have their own different operational needs and what have you." So, I was promoted into Business Unit Director of Product Security. And so now we're a business unit. We're a business within a business trying to better serve our clients and implement the processes we need for our small scope of work compared to a large contract development and manufacturing organization. So just that's been my growth goal so far is, come in as an engineer, work my way up to the leadership roles while also still loving to be an educator and and still having my own startup space in the biotech side of the house. [00:05:58] Lindsey Dinneen: Yeah. Excellent. Well, first of all, congratulations on all of that. That is very exciting and it's really fun to see that growth and that development. And I'm also so curious now, can we talk a little bit about your startup? So first of all, let's talk about that and then I wanna talk about the crossover between the two, if that's okay. So. [00:06:16] Garrett Schumacher: Absolutely. Yeah. So, well the name is GeneInfoSec, so it's just short for genetic information security. We're not trying to hide anything there. We focus on protecting the world's most sensitive data. At least that's our opinion is genetic information affects you. And the data you have today is not gonna be any different, for the most part, from the data that you have in, 10, 20, 40 years. But then even beyond that it's partially your children's data, your grandchildren, great-grandchildren, and then even on the, in the inverse, all the way up to your great-great-grandparents, right? You share some, to an extent, some genetic makeup with them. And so it's this really interesting space where networked privacy is-- it's a very different form of networked privacy. It's not just that I upload a photo to LinkedIn and now I could be implicating someone else that's in the photo. It's, I share my info, and I'm also sharing info that belongs to my cousins in, in, in a sense. And so if you think of the Golden State Killer case in California, that was a really interesting one where the federal authorities had genetic information or samples from a cold case in the eighties. And they sequenced that. They uploaded it to a third party, an open public genetic database, and said, "Hey, here's my data. Who am I related to?" And through that they were able to triangulate like, "Okay here it is. This is the guy that did it" many years later. So, there's a case where it's, there could be positives. We want to use it to find that kind of information and protect people. But at the same time, that brings up a lot of privacy implications. And then you can go all the way to the extreme, the sci-fi of designer bio weapons, maybe tailored to certain persons or ethnicities or groups of people. So during grad school, a couple guys and I, we founded this startup, and that's what we focus on through a technology that really our founder, Dr. Sterling Sawaya, he invented, called molecular encryption. It's a way of encrypting molecules before we generate data from them so that the generated genetic data is already, quote unquote encrypted, or at least protected in some manner. So, so that's what we do. And yeah, I guess why we do it a bit. [00:08:27] Lindsey Dinneen: Yeah. Wow. So, okay, so that brings up a really interesting question. I can guess the answer to this, but is there any safe way to-- this is a funny way to put it-- but recreationally to test your genetic data in the sense of the way that a lot of us would think about it in terms of, "Oh, I'd really love to learn more about my ancestors and things like that." But there are so many security concerns, like you've pointed out. So is there any quote unquote, safe way to do so at this time? [00:08:58] Garrett Schumacher: You know that-- it's a great question. There's been a lot of things going on in the news recently, like with, I'm sure people have heard of 23 & Me, and how they went bankrupt and now a company called Regeneron is buying them and all their assets for a lot of money, but not that much compared to what 23 & Me was worth a few years ago. So that brings up a lot of issues, right? 23 & Me still owns a lot of samples, like maybe around 10 million samples. And the sequencing they've been doing is very small. So if your genome's a whole book, they've been kind of flipping through the pages and picking specific letters, and that's the data they have. So that's not the most sensitive, it's not the full story. But if you have the samples, you can always generate the full book someday. And as that cost of full human genome sequencing decreases rapidly, someone's probably gonna want to do that someday. So, okay, so back to your question though, is there a safe way? What I would say is that I, I don't tell people not to do it. I would say if you have health reasons, concerns, and your doctor suggests a genetic test, a lot of those tests are also that similar, picking a few letters, a few known letters and trying to just read that for a very specific purpose. If your doctor and you come to the agreement that you should do that, you should just do that. However, I do not promote, and even to my family members, I highly don't recommend, using these services. I used to really love who's that group out of Utah? Ancestry.com. They used to be a great group. They were trying to sequence the world's DNA for understanding basically the family tree of everyone. Because anyways, they have interest in understanding who's related to who and how that relates to their religion. So they used to do it for internal purposes, keep it on pretty tight, secure. Well then, they sold to a venture capital group. So, it's really tough to say that there's these groups that there's a good place out there to do it. There are some companies that have security or privacy focused DNA sequencing services. But it's really odd, like you have to set up a cryptocurrency account, pay with cryptocurrency, set up a PO box so that you're not like actually shipping to and from your home. And then ultimately the price of it and how they're getting it to be cost effective is China's doing the sequencing. So you do all those privacy measures and your sample gets sent off to another country. And the FBI has disclosed that they know that when certain countries like that are doing the sequencing, whether you want them to do a little tiny test, like a COVID test or whatever it is, they're sequencing the whole thing. They're keeping the data. This is known, disclosed, not conjecture. So, yeah, so sorry-- long-winded answer of saying, I'm interested too, I wanna learn about this. I've got family members that have done it. But right now I recommend just thinking very carefully and critically about whether the immediate fun of it is worth the potential long-term impacts, and maybe if you're someone that's security or privacy conscious, maybe wait a few years because there are some things on the horizon that will make this a lot better. [00:12:02] Lindsey Dinneen: All right! Thank you for the honest answer. I really appreciate it. So, okay, I wanna go back to your work with Velentium specifically and talk about-- you've gotten to work with so many different clients over the years and you've seen so many different variations on a theme. And I'm curious, what are some of the common mistakes or pitfalls you might see a younger startup make when they are perhaps first designing their device, and cybersecurity is maybe not quite top of mind. So what are some of the things that you see that are challenges we can overcome? [00:12:41] Garrett Schumacher: Yeah I think one of the biggest challenges is that a lot of people aren't maybe aware yet of the scrutiny and the requirements that the FDA-- and not just FDA, but the European union's medical device regulations and the bodies over there that review submissions. And any, if you look across the board, pretty much almost every regulatory market has, very much in the last couple years, placed a lot of scrutiny on cybersecurity. So a lot of companies, especially smaller ones starting out in the space, may not be aware of this. And so then oftentimes they'll find out too late, they'll submit. They'll get feedback back, "Oh no, we have 90 days to respond and we didn't do cyber. We gotta do cyber now." And they don't know how to spell it yet, which is a joke. But there's that. And then there's also, or they'll get in just late at the game, "Hey, we're submitting in a month or three" and "Oh, we gotta do this thing retroactively." And so then therefore, we haven't been able to support someone through the full process, at the proper time, doing the right design things to inform the design during the design, not after. So I think that's probably the biggest mistake is not seeking that external support early and often. And if you're getting that, it shouldn't just be someone that can help you navigate the regulatory space. It shouldn't be someone that can just do the pen testing for you at the end. Really I think in that context, you need a partner that can do everything end to end. So that's what we've really tried to make our processes and our services geared towards is being that partner. And whether you have the bandwidth and you will do a lot of the documentation and work, but you just need someone to guide you, consult you, give you the materials to do so, or if you are truly looking for, no, we need to augment our own team and have you do a lot more of the work for us. That's great. We can do that. So, so that's, I think, the biggest challenge. And I think that the answer is just getting the right partner early and working with them often throughout that entire development, not at the end. [00:14:37] Lindsey Dinneen: Yeah, absolutely. And I really appreciate that perspective. I think that there's a lot more awareness, it seems like even in the industry that, "Oh, cybersecurity is a thing now." But as you said, getting to partner with somebody who does know the ins and outs from the start and can really help guide you through is really critical. Now you do quite a bit of speaking and presenting. You're obviously still teaching a college class and all of those wonderful things. I'm curious how that has played into your career as well, and is that something that you will always want to do? You've got this educator side of you as well. [00:15:13] Garrett Schumacher: Yeah, I mean, I love it. I actually taught at a high school for one year between my master's program and my undergraduate, decided that that's not for me, but that teaching at those higher levels where people are really wanting to be in the room. So now I teach at the graduate level, half of the students will be older than me. And now everybody wants to be there and we can have very mature conversations and they even can challenge me with some really great questions that I'm not ready for, right? And I think the best way to learn is to teach. Absolutely. That's, yeah. I think a lot of people have said that. I completely agree. So I plan to always do that. I mean, I love, even with our internal engineers and external clients, like the idea of helping people understand something and humanizing it for 'em. That's really my big flag I'm waving right now is humanizing it. We don't have to use alphabet soups and crazy language. We can make it easy to understand and we can humanize it for the masses. So that's really what I'm trying to do, one of my big pushes. And so I don't foresee myself ever going away from that, I even do a lot of international training on the cyber biosecurity space where I go to all these countries and these biosafety laboratories and help biologists understand cybersecurity as a fundamental practice and how they can improve their personal security, their professional security. And to me that's the most rewarding thing. [00:16:36] Lindsey Dinneen: Yeah. Oh my goodness. That's so cool. Thank you for sharing about that. So, as you are looking towards the future in the industry itself, but also I suppose your own career, what are some things that you're excited about? What are some trends that you see as being positive? I know that, recently, it's been a little bit challenging-- as a nice word-- for a lot of medical device companies and they're a little worried about funding and those kinds of things, and so, that's maybe a trend that's a little not as fun, but what are the things that are empowering and exciting to you as we move forward? [00:17:13] Garrett Schumacher: So not to make it about artificial intelligence or machine learning, 'cause everybody does. It's definitely, its hype curve. But that is actually one of the things that I think I'm most excited about, but also most scared about. We've seen a lot of companies with layoffs because they believe this artificial intelligence enables them to be more efficient and therefore they can do more with fewer people. And that saves money. And I understand that. I think that one of my big pushes right now is trying to help people understand that AI, at least right now, it's not taking over human jobs-- that it can instead augment, improve how we do those jobs. But people have to be ready for it. So even in, in my own space, like, making sure that our team and our people are ready for that. Because if you aren't getting into that space, if you aren't with the curve, then you're gonna fall behind. And yes, you could be replaced in that sense that someone has done it and so now they're doing it better than you. And so if you're not using these tools, these resources to, to improve your efficiency and to just maximize your capability-- like for example, my team, maybe I don't need to hire a person. Maybe we can build out things that enable us to, with the same amount of people, to better serve more clientele. So that's what I'm really trying to navigate. But it is scary thinking about that future and am I even gonna be ready and technically savvy enough to navigate that new future in the next year, in the next five, 10 years. And especially as someone who I've always had this, this goal of maybe someday, and I'm getting talked out of it very quickly, but maybe like being a Chief Information Security Officer at a large company or a Chief Product Security Officer, something like that. And yeah, quickly, I'm-- "Eh, we'll see." But it's those kind of things that, if we can navigate them correctly, may maybe that is something in my future. So that's, I think, one of my big fears and also passion projects right now. And then also, same on that funding vein-- with my startup, we're experiencing that as well. And we actually, we had a lot of funding potential pre COVID. And then even though our technology-- like in some ways COVID brought the need for our technology to the forefront of people's minds-- it also killed a lot of funding opportunity. And so yeah, I mean, navigating that space of how do you get funding and then does it come from venture capital backed or equity, private equity, and I've seen those worlds. I even advise startups. So I mean, that is also probably one of the biggest challenges I'm facing currently as well. [00:19:41] Lindsey Dinneen: Yeah. Yeah. It's gonna be really interesting to see how things evolve, and it's been fascinating to read the news and see even the headlines where it's like, the FDA is using AI to review submissions and all sorts of things, and you really do wonder how we'll move forward and time will tell, I suppose. [00:20:01] Garrett Schumacher: Yeah. [00:20:02] Lindsey Dinneen: So you have stepped into quite a number of leadership roles fairly young in your career, if you don't mind me just saying so, and so I'm curious how you have navigated that growth for yourself. First of all, do you feel like you were a natural leader or were those skills things you developed along the way? And secondly, what advice might you have for younger leaders? [00:20:27] Garrett Schumacher: Great questions. Yeah, definitely nothing is natural about it. I think for anyone, I mean, it's nothing that you just do and you're just like, "Yep, I'm a leader. That's easy." So it definitely something, just like all aspects of work and maturity, is you have to work on it. But I think how I got there was-- and someone told me a couple tips early in my career, I suppose-- and it was a couple are: find a mentor, and as the mentee you have to put in the effort. If you set up meetings and they're not there, whatever, like they're busy, and you are asking them to give their time for you. So, find mentors and then be a good mentee, meet up with them. I had several people that were critical in my early career. One was Bunky Davis and she was amazing. She was no longer with us, but her and I grabbed coffee every single month. She had navigated biotech startups for like 50 years, was also just a phenomenal cyclist, Olympian, like just amazing. And we'd meet up every month for coffee without missing. And we did that for several years. And, and I had another mentor from the University of Colorado Boulder, Lloyd Thrall, who came from the Department of Defense, and just a spectacular, stellar guy, and we would go meet up all the time. And so learning from these people I think I saw-- well, there's that. And then everybody has their bosses and their horror stories from work, whether that's a high school job or professional later on. And so you see the ways that people can be, you don't want to be. And so that, that makes it easy. But without having those mentors, yeah, I don't know if I would've exposed myself to the good ways, right, and the better ways, and be challenged. So that was really critical was finding a good mentor and then being a good mentee. And then I think the other thing is interacting with people and just listening, active listening. So going to the professional shows and meeting people, listening to them, reading a lot of great books out there on how to be a leader, and you don't take all that exactly word for word, but there are golden little nuggets that you can just pick up out of all those things. So, no, definitely something that I have actively worked on and still am trying to work on. And then I'm constantly trying to listen and being that, have that open door policy for my people too. Because if I hire really smart people, I want them to do the thinking and therefore I need to listen. [00:22:44] Lindsey Dinneen: There you go. I love it. All right, so. You've had a really interesting and exciting career so far, and you're obviously very passionate about medtech and cybersecurity and biotech and all those things, and I'm wondering if along the way there are any moments that really stand out to you as affirming, "Wow, I am in the right place at the right time." [00:23:09] Garrett Schumacher: Yeah. Yeah. One was we had a really special project where and I won't give any names away, but basically my stepmother has an implant inside of her and it's it's not life sustaining, but it's one that you want working just so that your body's working normally, and so that you're not, not embarrassed. You can go into public spaces and be a normal person, right? And whether it's pain management, incontinence, those kind of things. So she had this implant and it was, she had one that came from the leading provider of that at the time. And it, the battery life, right, is supposed to last like 10 or 15 years, and it seemed like pretty much seven or eight was all she was getting out of it. And after decades of having far more surgeries than she needed, all the way up to the very last device she got in her-- it failed within the first year, I think-- so it was like, okay, time to pivot. And we found this new company and they've become a huge leader in the space, recently acquired by another one of the big leaders in medtech in general. And we were hired to do the security work for that project. And the only reason that I actually found out-- because my stepmother was literally like in the process of getting this new device inside of her-- I was at that client's facility doing a pen testing and security testing engagement and some consulting and just visiting them. And I FaceTimed my family in the break room and there was a sign behind me and they're like, "Oh my gosh. We're literally, we just got that implanted in your stepmother like, a couple weeks ago. It's working great. She's so happy with it. It's smaller, it works better, all these things." And it's like, "Wow." So I got to lead the security effort and what they're actually doing is adding remote programming capabilities so a doctor can, over the phone, be improving that therapy for you. But that leads to a lot of cybersecurity implications, right? That kind of connectivity. And so I gotta lead the security work on that for something that is in a near and dear, your family member. And it's those kind of things where it's not, you're not just helping patients. It's, I'm helping someone that I care very deeply about. And it hits home differently when it's not just, "Oh, I want this device to be secure. I want them to get FDA clearance. I want whatever." It's, "No, I need now, I need for my own family member for it to be the best." And it's not that project got special scrutiny from us-- we bring that to every project-- but it helps to have the actual experience of one of those projects. [00:25:33] Lindsey Dinneen: Yeah. And to have that real-- well, you were mentioning it-- not just patients that I kept thinking, "Yeah. Not just patients, people," and the idea of it's sometimes probably necessary honestly, to have a little bit of separation from a clinical point of, "I'm helping all of these patients, and that's a really good thing." But then if you could take a step back and go, "And these patients are human beings that rely on what I'm doing for safety and for security and for this lifesaving, life enhancing device." That's-- what a gift to get to experience something like that. [00:26:04] Garrett Schumacher: It is, it's especially like, if you work in the diabetes-- we've had several projects with insulin pumps-- and insulin's a drug that is, highly toxic if given in the wrong dosage. 99% of the world population would die if it's in the wrong dosage if it's too high. And the only reason the other 1% exist is 'cause they're insulin intolerant. They just, they don't respond to insulin and that's why they have their own type of diabetic issues. And I've got several cousins, a brother-in-law, that also use that stuff every day, rely on those kind of technologies. So, yeah, just it's a little bit more special when it's when you get to do that. But we try to do that for everyone. We try to think of everyone's that person that we're trying to help. [00:26:42] Lindsey Dinneen: Yeah, absolutely. All right. Well, this has been so great, but pivoting the conversation a little bit, just for fun. Imagine that you were to be offered a million dollars to teach a masterclass on anything you want. What would you choose to teach and why? [00:26:59] Garrett Schumacher: Ooh. Well, yeah, first of all, a million dollars for-- I feel like I, I'd have to go with something like that I know deeply, very deeply on. But okay, if I wanna have some fun here, I would say rock climbing, because rock climbing is my other big passion. It's the one thing that takes me away from a computer screen typically. And so if you're paying me a million dollars to teach rock climbing, A, these people really wanna learn how to be good rock climbers, so they're gonna be very engaged. And B, that's going to mean that I can go now actually make money on something that has only ever been a passion for me. So, that would be fun. That would be awesome. [00:27:33] Lindsey Dinneen: Awesome. [00:27:33] Garrett Schumacher: If you're offering, Lindsey, I'll accept. [00:27:35] Lindsey Dinneen: Okay, deal, right? Yeah. I'm gonna have to earn my first million first, and then I'll let you know. [00:27:40] Garrett Schumacher: I'll wait. [00:27:41] Lindsey Dinneen: Okay, fair? Fair enough. What got you into rock climbing? [00:27:45] Garrett Schumacher: Oh man. Well, so my mother was, I grew up in like a small farming town in the northeast corner of Colorado. There's not a mountain for, until you get to Denver area, right? In the summers, she worked at the local college, and in the summers she ran the ropes course and they had a giant rock wall. So, I mean, as a 10-year-old, I'm just hanging out there. I didn't know that there was routes or certain ways or techniques. I just, who can get up the fastest, right? But that was always fun. That was my summers. I always, and I was, shoot, I was always told I was a monkey. I was always on stuff climbing something. I've had my share of injuries from it, trust me. And then in college, it just was natural. I went to CU Boulder, as I've probably already said, and a lot of outdoor climbing opportunities. A lot of, they, they built a new gym there inside the school. And so that then it became this thing where, oh, I can actually-- as you move away from high school sports, basketball and American football and those things, you miss that. You can miss some competitiveness and some team-based things. So now I had another active thing that I could-- and I, again, I wasn't so formal in technique or things like that-- so now I could work with people, socialize and work on that technique in something that I was able to do at that level, instead of, I'm not gonna go beat myself up playing football again. So, yeah, I think that's where it came from. And then it's just been my big hobby ever since. And I mean, now I have a bunch of friends down in Austin, Texas, and we go on a big climbing trip once a year, and I see them once a year. It's fun. So it's like expanded my friend group and it keeps me sane. [00:29:14] Lindsey Dinneen: Huh. Excellent. Yes. That's wonderful. All right. How do you wish to be remembered after you leave this world? [00:29:22] Garrett Schumacher: Oh, that's a good one. How do you humbly answer that? When part of the answer I would wanna say is humble, but that's something I always try to work on, is I just wanna be a good guy. I want people to remember that, he was kind, considerate-- would do something at the drop of a hat for you without expecting anything in return-- just kind, generous. And I think a family guy would be a big one. My, my friends and family first and foremost. And maybe second to that, hardworking. Yeah. [00:29:46] Lindsey Dinneen: Yeah. I love that. All right. And final question. What is one thing that makes you smile every time you see or think about it? [00:29:55] Garrett Schumacher: Oh, my wife. I wake up to her every day and that's she's the best part about everything. So yeah, she's my favorite person, and I'm lucky enough to, when I'm not traveling, wake up next to her and see her at night, and that's the best part. [00:30:08] Lindsey Dinneen: Yeah, absolutely. What a wonderful thing. Well, this has been a fantastic conversation, Garrett. I'm so thankful for your time today. Thank you for sharing some of your stories, some of your advice. And I just honestly wish you the most continued success as you work to change lives for a better world. [00:30:26] Garrett Schumacher: Thank you. Thank you, Lindsey, for having me. This was my first podcast ever. So it went great. Yeah, it was fine. [00:30:32] Lindsey Dinneen: Awesome. You rocked it. Good job. That's wonderful. All right, well, celebrating that and celebrating all your future successes to come. We are so honored to be making a donation on your behalf as a thank you for your time today to Save the Children, which works to end the cycle of poverty by ensuring communities have the resources to provide children with a healthy, educational, and safe environment. So thank you so much for choosing that charity to support, and thank you so much for being here and thank you for doing what you do. [00:31:05] Garrett Schumacher: Thank you. [00:31:07] Lindsey Dinneen: Excellent, and thank you also to our listeners for tuning in, and if you're feeling as inspired as I am, I'd love it if you'd share this episode with a colleague or two and we'll catch you next time. [00:31:19] Dan Purvis: The Leading Difference is brought to you by Velentium Medical. Velentium Medical is a full service CDMO, serving medtech clients worldwide to securely design, manufacture, and test class two and class three medical devices. Velentium Medical's four units include research and development-- pairing electronic and mechanical design, embedded firmware, mobile app development, and cloud systems with the human factor studies and systems engineering necessary to streamline medical device regulatory approval; contract manufacturing-- building medical products at the prototype, clinical, and commercial levels in the US, as well as in low cost regions in 1345 certified and FDA registered Class VII clean rooms; cybersecurity-- generating the 12 cybersecurity design artifacts required for FDA submission; and automated test systems, assuring that every device produced is exactly the same as the device that was approved. Visit VelentiumMedical.com to explore how we can work together to change lives for a better world.

Gene is a Distinguished and ICS Alumni Professor of Computer Science at the University of California, Irvine (UCI) where he has been since 2000.  His research covers areas of security, privacy, and cryptography. From 1991 to 1996, he was a researcher at the IBM Zurich Research Laboratory and then at the Information Science Institute until 2000. He is a Fulbright scholar and a Fellow of the ACM, IEEE, AAAS, and IFIP. From 2009 to 2015, he was the editor-in-chief of the ACM Transactions on Privacy and Security (TOPS). Over the years, Gene has received a number of awards, including the ACM SIGSAC Outstanding Contribution Award,  the 2020 IFIP Jean-Claude Laprie Award, the 2023 ACM SIGSAC Outstanding Innovation Award, and a 2025 Guggenheim Fellowship. Google Scholar: https://scholar.google.co.uk/citations?user=WLvuu74AAAAJ&hl=en&oi=ao   

Do we have Food Sovereignty in Canada? Guest: Susanna Klassen, Postdoctoral Researcher, Department of Sociology, University of Victoria Many Canadians getting ready to cut back on Christmas spending Guest: Joshua Harris, Licensed Insolvency Trustee, Harris & Partners There is mounting pressure for Conservative leaders to step down Guest: Dr Stewart Prest, Lecturer in the department of Political Science at UBC Can AI Robots learn hate, discrimination, and violence? Guest: Dr Masoumeh Mansouri is an Associate Professor in the School of Computer Science at the University of Birmingham Want a job? Go to a job fair Guest: Sudip Mukherjee, President of Canadian Job Expo PM Carney in BC talking Nation Building projects Guest: Andrea MacPherson, reporter for global news Learn more about your ad choices. Visit megaphone.fm/adchoices

For as far as we've come with AI and robotics, there's still a huge gap when it comes to combining the two. AI excels in the digital space, and in the physical world, robots are often pre-programmed. That's where physical AI comes in. It's critical for things that can't tolerate the kinds of mistakes that are common in today's statistics based AI, like self driving cars or managing the power grid. In the latest installment of our oral history project, we meet a central figure in these efforts, MIT's Daniela Rus.We Meet:  Daniela Rus is the Director of MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) and the Andrew and Erna Viterbi Professor in the Department of Electrical Engineering and Computer Science.Credits:This episode of SHIFT was produced by Jennifer Strong with help from Emma Cillekens. It was mixed by Garret Lang, with original music from him and Jacob Gorski. Art by Meg Marco.

On our most recent episode, we reported on how tons of young people are choosing trade school over college out of fear of white-collar jobs drying up. Companies appear to be making big bets that AI can replace huge chunks of their workforces. It seems like “go to trade school” has become the new “learn to code.” But Dan Grossman -- professor and vice director of the University of Washington's Allen School of Computer Science and Engineering -- says the outlook isn’t so bleak for students who still want a career in tech. On today's episode: Are reports of AI driving a “white collar bloodbath” greatly exaggerated? We want to know what you think of the show, and what you'd like us to cover. Fill out our audience survey, linked here, to tell us your thoughts. Thank you to the supporters of KUOW, you help make this show possible! If you want to help out, go to kuow.org/donate/boomingnotes. Booming is a production of KUOW in Seattle, a proud member of the NPR Network. Our editor is Carol Smith. Our producers are Lucy Soucek and Alec Cowan. Our hosts are Joshua McNichols and Monica Nickelsburg.Support the show: https://kuow.org/donateSee omnystudio.com/listener for privacy information.

In this episode of What The Tech, FIT's VP of Client Partnerships, Becky Cross, sits down with Dr. Charles Dull, Dean of the School of Advanced Manufacturing, Engineering, and Computer Science at Cuyahoga Community College. Dr. Dull shares his insights on the future of higher education, the impact of artificial intelligence, and the lasting changes brought on by COVID-19. He also discusses the balance between innovation and academic quality, and introduces the Cyber AI Futures Institute aimed at addressing AI governance and ethics. Tune in to learn more about the evolving landscape of digital education and how businesses can get involved.

We speak with Dhawal Sharma, Executive Vice President & Head of Product Strategy at Zscaler on the latest innovations in zero trust to enhance security, simplify access management, and significantly reduce legacy infrastructure costs.Dhawal Sharma is a visionary leader and expert in cloud security who currently serves as Executive Vice President and Head of Product Strategy at Zscaler. Since joining the company in 2012, Dhawal has made significant contributions to its success by leading key product management initiatives that have strengthened the foundation of Zscaler's solutions and transformed the way businesses approach secure digital transformation.From 2012 to 2018, Dhawal oversaw all core product management at Zscaler, driving innovation and excellence across the company's primary offerings. Today, he leads emerging product innovations and core platform responsibilities, focusing on cutting-edge advancements in cloud security, networking, data path optimization, IoT security, Network Function Virtualization (NFV), Network Performance Monitoring (NPM), Data Loss Prevention (DLP), and regulatory compliance. His ability to identify industry needs ahead of the curve has positioned Zscaler as a leader in cloud-native security solutions.Dhawal's professional journey spans two decades, during which he has held key product management, product marketing, and sales leadership roles in security, networking, compliance, and network management across both large enterprises and tech startups. Prior to Zscaler, Dhawal worked at Cisco, where he excelled in strategic roles that shaped the security and networking landscape.An accomplished academic, Dhawal holds a Technical MBA degree with a specialization in Networking and IT Infrastructure from Symbiosis Center for IT. He also holds a Bachelor's in Engineering degree specializing in Computer Science. #ZL2025 #zerotrustsecurity #mysecuritytv #zscaler

Reasoning—the process of drawing conclusions from prior knowledge—is a hallmark of intelligence. Large language models, and more recently, large reasoning models have demonstrated impressive results on many reasoning-intensive benchmarks. Careful studies over the past few years have revealed that LLMs may exhibit some reasoning behavior, and larger models tend to do better on reasoning tasks. However, even the largest current models still struggle on various kinds of reasoning problems. In this talk, we will try to address the question: Are the observed reasoning limitations of LLMs fundamental in nature? Or will they be resolved by further increasing the size and data of these models, or by better techniques for training them? I will describe recent work to tackle this question from several different angles. The answer to this question will help us to better understand the risks posed by future LLMs as vast resources continue to be invested in their development. About the speaker: Abulhair Saparov is an Assistant Professor of Computer Science at Purdue University. His research focuses on applications of statistical machine learning to natural language processing, natural language understanding, and reasoning. His recent work closely examines the reasoning capacity of large language models, identifying fundamental limitations, and developing new methods and tools to address or workaround those limitations. He has also explored the use of symbolic and neurosymbolic methods to both understand and improve the reasoning capabilities of AI models. He is also broadly interested in other applications of statistical machine learning, such as to the natural sciences.

Timestamps:3:30 - Identifying a market gap in legal tech 10:06 - What is “smart money” after all?16:22 - How do you go from researcher to CEO?25:55 - The biggest risk for every scaleup36:20 - Is Switzerland a hotbed for AI?This episode was co-produced by SICTIC, the leading angel investor network in Switzerland.This episode was sponsored by Relai. Get started with Bitcoin by downloading the Relai app today, and profit from 10% less fees by entering code SWISSPRENEUR at checkout.(Disclaimer: Relai services are exclusively recommended for Swiss and Italian residents.)Click ⁠here⁠ to order your copy of “Swiss Startups” today.Episode Description:Thomas Dübendorfer is the founder and president of SICTIC, the leading angel investor network in Switzerland. He's also a cybersecurity expert and serial entrepreneur, holding board seats at Frontify and several other startups. ⁠Paulina Grnarova⁠ is the co-founder and CEO of ⁠DeepJudge⁠, an AI-powered knowledge search for legal professionals. She holds a PhD in Computer Science from ETH, and started her company in 2021, directly after completing her studies.Founded by ex-Google search engineers and legaltech veterans, DeepJudge reimagines how firms access and use their internal knowledge, unlocking the full breadth of data and depth of documents to improve all areas of a lawyer's business. It enables you to build entire AI applications, encapsulate multi-step workflows, and implement LLM agents.SICTIC is one of DeepJudge's investors. During his chat with Merle and Paulina, SICTIC president Thomas Dübendorfer shared how he assesses startup teams: Does the founder really understand what the journey of a startup is? Can the startup team evolve to meet changing demands?Does the team believe what they're selling?Are they aware that they'll have to overcome several difficulties in the coming years?Are they all moving in the same direction, working to achieve the same mission?Thomas also takes care to assess companies from an ethical standpoint, especially when the tech has dual use. For instance, drones can be used for rescue missions or to bring food or medicine, but they can also be used to transport weapons. In cases like these, it's crucial to confront the founders with the most problematic possibilities upfront.Thomas is confident in Switzerland's AI future: all the experts are here, across a very broad range of industries, and, when it comes to AI specifically, Switzerland can already count on several research institutions making great strides -  like the ETH AI Center, the Swiss National Institute, and the Swiss National SuperComputing Center.The cover portrait was edited by ⁠⁠⁠⁠⁠⁠⁠⁠Smartportrait. ⁠⁠⁠⁠⁠‍‍Don't forget to give us a follow on⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Instagram⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠,⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Linkedin⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠,⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ TikTok⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, and⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Youtube ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠so you can always stay up to date with our latest initiatives. That way, there's no excuse for missing out on live shows, weekly giveaways or founders' dinners.

Guest Dr. Karen Sobel-Lojeski is a pioneer in understanding how technology shapes human connection at work and beyond. She created the award-winning framework, Virtual Distance, a proven and practical set of predictive analytics that target problems and predictably strengthen trust, collaboration, and productivity across remote, hybrid, and in-person teams. As the founder of Virtual Distance International, she has advised Fortune 500 companies, government agencies, and institutions, including Coca-Cola, the US Navy, DARPA, and the World Economic Forum. A trusted advisor, former professor and researcher with affiliations at Princeton's Institute for Advanced Study, Wharton, and the Stockholm School of Economics, she is the author of Uniting the Virtual Workforce, Leading the Virtual Workforce, and The Power of Virtual Distance. Her insights have been featured in Harvard Business Review, The New York Times, Forbes, The Wall Street Journal, NPR, and other prominent publications. She is a sought-after speaker, known for energizing audiences worldwide. She holds degrees in Computer Science and Applied Mathematics from SUNY Albany and a Ph.D. from Stevens Institute of Technology, where her dissertation, Virtual Distance: A New Model for the Study of Virtual Work, won the Best Dissertation of the Year Award. Summary In this follow-up conversation, Dr. Karen Sobel-Lojeski—creator of the concept of "virtual distance"—discusses how technology continues to shape, and often erode, human connection, particularly in education. She defines virtual distance as the measurable sense of separation people feel despite being physically close, a phenomenon driven by technology-mediated communication. The model comprises three layers: physical distance, which has the least impact on outcomes; operational distance, representing the day-to-day barriers to smooth communication; and affinity distance, the emotional and relational disconnect that most strongly undermines trust, learning, and collaboration. Dr. K and Jeff revisit ideas they first discussed during the COVID-19 pandemic, when schools shifted to remote learning. While educators solved many operational challenges, they largely ignored the emotional and social costs—students' inability to connect, play, and learn together. Dr. K likens this to Isaac Asimov's story "The Fun They Had," a cautionary tale about robotic education devoid of joy and connection. The discussion shifts to current policies that restrict cell phone use in schools. Dr. K argues these measures, while well-intentioned, misidentify the real problem. Locking up phones doesn't undo decades of cultural conditioning around technology. Students' sense of self and connection has already been rewired; removing the device without addressing underlying social and emotional needs merely produces deprivation, not engagement. She urges educators to prioritize relationships, empathy, and social learning—what she calls "reconnecting to our direct experience of being human." AI, she warns, intensifies virtual distance by outsourcing creativity and meaning-making. Ultimately, she calls for a cultural and educational rebalancing that centers human connection in an increasingly digital world. The Essential Point Technological fixes—whether online learning, AI, or banning cell phones—cannot mend what they helped fray: our capacity for human connection. True learning and creativity depend on empathy, direct experience, and social bonds. Social Media klojeski@virtualdistance.com www.thepowerofvirtualdistance.com www.virtualdistance.com +1.551.580.6422

Just a few years ago, computer science was a lucrative major that all but guaranteed new graduates a job right out of college. But with the rise of artificial intelligence, a somewhat frozen tech job market and layoffs at major tech companies, securing an entry-level job in the industry is proving to be much more difficult. Loren Terveen is a professor and the head of the Department of Computer Science and Engineering at the University of Minnesota, Twin Cities. He joined Minnesota Now host Nina Moini to share his perspective and what he's hearing from students.

In India's coastal state of Goa, the world's best chess players are chasing titles at the FIDE World Cup, a biennial tournament run by FIDE, the International Chess Federation. On the East Coast of the United States, Kenneth Regan chases fairness. Each night he downloads every game, feeding the moves into his program to see if the play looks human or too perfect. Cheating today isn't just glances or notes. It can mean phones, signals, or online help from chess engines. Regan's math hunts for patterns that feel off, walking the thin line between genius and help. From the 2006 “Toiletgate” scandal—when a world champion was accused of using computer aid during long bathroom breaks—to the 2022 storm between Magnus Carlsen and Hans Niemann, when Carlsen withdrew mid-tournament, suspicion has shadowed the board. Regan's work keeps the focus on the moves, not the murmurs.Guest: Kenneth Regan, Professor of Computer Science, University at Buffalo; Anti-Cheating Expert for FIDE, the World Chess Federation Host: Anupama Chandrasekaran Edited by Jude Weston Learn more about your ad choices. Visit megaphone.fm/adchoices

Stephanie Seneff, PhD is an MIT Senior Research Scientist with degrees in Biophysics, Electrical Engineering, and Computer Science. More than a decade ago, she began deeply researching the environmental causes of chronic illness, investigating the biological impact of pesticides, vaccines, diet, and more. With MAHA shedding much needed light on the causes of chronic health problems, Stephanie Seneff's work is finally getting the national attention it deserves.Reference Linkshttps://informedchoicewa.substack.com/https://stephanieseneff.net/https://pubmed.ncbi.nlm.nih.gov/?term=Seneff%20S&cauthor_id=38867495See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Science Stories is visiting the AI in Science Summit 2025 co-organized by the European Commission, The Danish EU Presidency and The University of Copenhagen. There is full house with 1200 participants, and the topic is all aspects of artificial intelligence. Science journalist jens Degett is trying to understand artificial intelligence better and has asked Chair of the Summit Steering Committee, Director of the Danish Pioneer Centre for AI, Professor of Computer Science at the University of Copenhagen Serge Belongie to explain what artificial Intelligence is and why it is important.

Stephanie Seneff, PhD is an MIT Senior Research Scientist with degrees in Biophysics, Electrical Engineering, and Computer Science. More than a decade ago, she began deeply researching the environmental causes of chronic illness, investigating the biological impact of pesticides, vaccines, diet, and more. With MAHA shedding much needed light on the causes of chronic health problems, Stephanie Seneff's work is finally getting the national attention it deserves. Reference Links https://informedchoicewa.substack.com/ https://stephanieseneff.net/ https://pubmed.ncbi.nlm.nih.gov/?term=Seneff%20S&cauthor_id=38867495

Have you been having fun with the newest slate of AI tools? Have you been doing research with GPT-5? Coding your projects with Claude? Turning pictures of your friends into cartoon characters from the Fairly Odd Parents using the image editing tool Nano Banana? Are you impressed with what they can do? Well guess what? You're only impressed with them because you're basically a naive child. You're like a little child with an etch a sketch who is amazed that they can make crude images by turning the knobs, oblivious to greater possibilities. At least, that's the impression you get when listening to tech leaders, philosophers, and even governments. According to them, soon the most impressive of AI tools will look as cheap and primitive as Netflix's recommendation algorithm in 2007. Soon the world will have to reckon with the power of Artificial General Intelligence, or “AGI.” What is AGI? Definitions vary. When will it come? Perhaps months. Perhaps years. Perhaps decades. But definitely soon enough for you to worry about. What will it mean for humanity once it's here? Perhaps a techno utopia. Perhaps extinction. No one is sure. But what they are sure of is that AGI is definitely coming and it's definitely going to be a big deal. A mystical event. A turning point in history, after which nothing will ever be the same. However, some are more skeptical, like our guest today Will Douglas Heaven. Will has a PhD in Computer Science from Imperial College London and is the senior editor for AI at MIT Technology review. He recently published an article, based on his conversations with AI researchers, which provocatively calls AGI “the most consequential conspiracy theory of our time.” Jake and Travis chat with Will about the conspiracy theory-like talk from the AI industry, whether AGI is just “vibes and snake oil,” and how to distinguish between tech breakthroughs and Silicon Valley hyperbole. Will Douglas Heaven https://bsky.app/profile/willdouglasheaven.bsky.social How AGI became the consequential conspiracy theory of our time https://www.technologyreview.com/2025/10/30/1127057/agi-conspiracy-theory-artifcial-general-intelligence/ Subscribe for $5 a month to get all the premium episodes: https://www.patreon.com/qaa Editing by Corey Klotz. Theme by Nick Sena. Additional music by Pontus Berghe. Theme Vocals by THEY/LIVE (https://instagram.com/theyylivve / https://sptfy.com/QrDm). Cover Art by Pedro Correa: (https://pedrocorrea.com) https://qaapodcast.com QAA was known as the QAnon Anonymous podcast. The first three episodes of Annie Kelly's new 6-part podcast miniseries “Truly Tradly Deeply” are available to Cursed Media subscribers, with new episodes released weekly. www.cursedmedia.net/ Cursed Media subscribers also get access to every episode of every QAA miniseries we produced, including Manclan by Julian Feeld and Annie Kelly, Trickle Down by Travis View, The Spectral Voyager by Jake Rockatansky and Brad Abrahams, and Perverts by Julian Feeld and Liv Agar. Plus, Cursed Media subscribers will get access to at least three new exclusive podcast miniseries every year. www.cursedmedia.net/ REFERENCES Debates on the nature of artificial general intelligence https://www.science.org/doi/10.1126/science.ado7069?utm_source=chatgpt.com Why AI Is Harder Than We Think https://arxiv.org/pdf/2104.12871 AI Capabilities May Be Overhyped on Bogus Benchmarks, Study Finds https://gizmodo.com/ai-capabilities-may-be-overhyped-on-bogus-benchmarks-study-finds-2000682577 Examining the geographic concentration of VC investment in AI https://ssti.org/blog/examining-geographic-concentration-vc-investment-ai Margaret Mitchell: artificial general intelligence is ‘just vibes and snake oil' https://www.ft.com/content/7089bff2-25fc-4a25-98bf-8828ab24f48e

We need new tools for wildfire prevention going forward. Elahe Soltanaghai, assistant professor of computer science and electrical and computer engineering at the University of Illinois Urbana-Champaign, aims to deliver one. Elahe Soltanaghai is an assistant professor of Computer Science at the University of Illinois Urbana-Champaign. Her research spans the areas of wireless networking and sensing with applications […]

This symposium explored the role of creativity as an essential human practice. Faculty from across disciplines reflected on how creativity shapes their scholarship and teaching, the complex and evolving role of technology, and the value of preparing all students to think creatively in a digital world. Moderated by Laura J. Holt '00, professor of psychology, the panel included: Sarah Bilston, Paul E. Raether Distinguished Professor of English; Pablo Delano, Charles A. Dana Professor of Fine Arts; Kent D. Dunlap, Thomas S. Johnson Distinguished Professor of Biology; and Ewa Syta, Charles A. Dana Research Associate Professor of Computer Science.

Bridging the CISO-board disconnect which hinders your cyber-security progressMeasuring cyber-risk in financial, economic and operational terms and demonstrating value in cyber-investmentsFocusing on governance and compliance – how to answer when asked “are we compliant?Thom Langford, Host, teissTalkhttps://www.linkedin.com/in/thomlangford/Zia Ush Shamszaman, Senior Lecturer in Computer Science, Teesside Universityhttps://www.linkedin.com/in/zia-ush-shamszaman/Edd Hardy, Director Cyber Security, AlixPartnershttps://www.linkedin.com/in/eddhardyPenny Jackson, Director Strategy, Awareness & Engagement (Human Risk Management), Aristos Partnershiphttps://www.linkedin.com/in/pennykjackson/

In this episode of The Data Chief, Ilan Twig, co-founder and CTO of Navan, shares why large language models will revolutionize our relationship with technology—just like the mouse did for the keyboard. From pushing AI to its limits to launching Navan Cognition, built for zero critical hallucination, Ilan reveals what it really takes to lead through change and build AI that people can trust. He also dives into a critical question every company must face: Will you build AI from scratch, or build with AI partners?? And if you're curious about the next frontier, Ilan paints a bold vision of agent-to-agent communication—where AI services talk to each other and your admin work disappears into the background.  A must-listen for anyone building the future of AI-powered user experiences.Key Moments:Agent-to-Agent Communication (A2A) (17:00): Ilan envisions a future where dedicated AI services communicate with each other in natural language, without the need for an API. This "mother of all bots" would manage administrative tasks by talking to other bots, simplifying complex tasks for the user.AI as a "Human" Experience (27:16): Ilan was surprised by the release of ChatGPT in 2022 because it was the first time a technology felt human. This led him to spend four months building and testing the technology's boundaries, including its ability to lie or be "jailbroken" with creative prompts.Identifying the Core Business (31:43): Ilan advises companies to decide if they want to become an "AI company" or simply use AI. He explains that building a core AI platform requires a huge commitment.A Case Study in Building (35:32): The conversation furthers, as a light is shed on the building of “Navan Cognition”, because no solution existed at the time to prevent critical hallucinations in AI models. This system includes a supervisor agent that works to catch and correct undesirable responses, creating a "zero critical hallucination" experience for its users.Key Quotes:"LLMs would do to the mouse what the mouse did to the keyboard when it comes to how humans interact with computers."  - Ilan Twig“My role is to always apply the best technology in order to drive, to create the best product and best experience. That's my role. And it is not technology for the sake of technology. It is technology for the sake of creating value for the users." - Ilan Twig“We ended up using ThoughtSpot. We also applied the generative AI capabilities that you guys have built into your product. That's build versus buy. That's the benefit of buy.”  - Ilan TwigMentionsNavan Introduces World's Smartest T&E Personal AssistantNavan CognitionAI jailbreak method tricks LLMs into poisoning their own contextSurely You're Joking, Mr. Feynman! (Adventures of a Curious Character)  - Richard P. FeynmanGuest Bio Ilan Twig is the co-founder and Chief Technology Officer (CTO) of Navan, the leading modern travel and expense management platform, globally. As CTO, Ilan drives Navan's product development and engineering efforts, leveraging cutting-edge technologies — including AI — to enhance user experience and operational efficiency. This is Ilan's second successful venture with Navan CEO Ariel Cohen, following their previous company, StreamOnce, a business multimedia integration platform acquired by Jive Software. With nearly two decades of engineering experience, Ilan has a proven track record of leading innovative research and development teams. He previously held key roles at Hewlett-Packard and Rockmelt, where he managed large-scale engineering initiatives. Ilan holds a Bachelor of Science in Computer Science from the Academic College of Tel-Aviv, Yaffo. As a forward-thinking technologist, Ilan is passionate about integrating AI-driven solutions to redefine the future of corporate travel and expense management. Hear more from Cindi Howson here. Sponsored by ThoughtSpot.

Can we automatically and provably quantify and control the information leakage from a black-box processing? From a statistical inference standpoint, in this talk, I will start from a unified framework to summarize existing privacy definitions based on input-independent  indistinguishability and unravel the fundamental challenges in crafting privacy proof for general data processing. Yet, the landscape shifts when we gain access to the (still possibly black-box) secret generation. By carefully leveraging its entropy, we unlock  the black-box analysis. This breakthrough enables us to automatically "learn" the underlying inference hardness for an adversary to recover arbitrarily-selected sensitive features fully through end-to-end simulations without any algorithmic restrictions. Meanwhile,  a set of new information-theoretical tools will be introduced to efficiently minimize additional noise perturbation assisted with sharpened adversarially adaptive composition. I will also unveil the win-win situation between the privacy and stability for simultaneous  algorithm improvements. Concrete applications will be given in diverse domains, including privacy-preserving machine learning on image classification and large language models, side-channel leakage mitigation and formalizing long-standing heuristic data obfuscations. About the speaker: Hanshen Xiao is an Assistant Professor in the Department of Computer Science. He received his Ph.D. degree in computer science from MIT and B.S. degree in Mathematics from Tsinghua University. Before joining Purdue, he was a research scientist at NVIDIA Research. His research focuses on provable trustworthy machine learning and computation, with a particular focus on automated black-box privatization, differential trust with applications on backdoor defense and memorization mitigation, and trustworthiness evaluation.

0:30 - Trump: You Must Vote for Cuomo 13:30 - JB's potty mouth 35:59 - Mark Levin at RJC on Tucker, et al 57:53 - Ben Shapiro on Tucker Carlson, Nick Fuentes...most important thing going on in America 01:13:38 - In Depth History w/ Frank From Arlington Heights 01:16:12 - Sports & Politics 01:33:29 - Mark Glennon, founder of Wirepoints, breaks down the recently passed Clean and Reliable Grid Affordability Act and the absurdities of Illinois’ green energy policy. For more from Mark substack.com/@markglennon 01:48:02 - Tom Williams, Associate Professor of Computer Science at the Colorado School of Mines and Human-Robot Interaction researcher, on how close we are to humanoid robots in the home and the opportunities if the current wave succeeds. For more on Tom’s work with robotics visit mirrorlab.mines.edu 02:06:45 - Why Dan Proft is SingleSee omnystudio.com/listener for privacy information.

Dean Sweeney sits down with Derek Schuurman from Calvin University, where he chairs the departments of Computer Science and Faith and Technology. Dr. Schuurman spoke with our PhD students earlier in the semester about AI, the biblical story and rival stories.

Dr. Jeff Schwartzentruber is a Senior Machine Learning Scientist at eSentire, working on anomaly detection pipelines and the use of large language models to enhance cybersecurity operations.The Evolution of AI in Cyber Security // MLOps Podcast #344 with Jeff Schwartzentruber, Staff Machine Learning Scientist at eSentire.Join the Community: https://go.mlops.community/YTJoinInGet the newsletter: https://go.mlops.community/YTNewsletter// AbstractModern cyber operations can feel opaque. This talk explains—step by step—what a security operations center (SOC) actually does, how telemetry flows in from networks, endpoints, and cloud apps, and what an investigation can credibly reveal about attacker behavior, exposure, and control gaps. We then trace how AI has shown up in the SOC: from rules and classic machine learning for detection to natural-language tools that summarize alerts and turn questions like “show failed logins from new countries in the last 24 hours” into fast database queries. The core of the talk is our next step: agentic investigations. These GenAI agents plan their work, run queries across tools, cite evidence, and draft analyst-grade findings—with guardrails and a human in the loop. We close with what's next: risk-aware auto-remediation, verifiable knowledge sources, and a practical checklist for adopting these capabilities safely.// BioDr. Jeff Schwartzentruber holds the position of Sr. Machine Learning Scientist at eSentire – a Canadian cybersecurity company specializing in Managed Detection and Response (MDR). Dr. Schwartzentruber's primary academic and industry research has been concentrated on solving problems at the intersection of cybersecurity and machine learning (ML). Over his +10-year career, Dr. Schwartzentruber has been involved in applying ML for threat detection and security analytics for several large Canadian financial institutions, public sector organizations (federal), and SME's. In addition to his private sector work, Dr. Schwartzentruber is also an Adjunct Faculty at Dalhousie University in the Department of Computer Science, a Special Graduate Faculty member with the School of Computer Science at the University of Guelph, and a Sr. Advisor on AI at the Rogers Cyber Secure Catalysts.// Related LinksWebsite: https://www.esentire.com/~~~~~~~~ ✌️Connect With Us ✌️ ~~~~~~~Catch all episodes, blogs, newsletters, and more: https://go.mlops.community/TYExploreJoin our Slack community [https://go.mlops.community/slack]Follow us on X/Twitter [@mlopscommunity](https://x.com/mlopscommunity) or [LinkedIn](https://go.mlops.community/linkedin)] Sign up for the next meetup: [https://go.mlops.community/register]MLOps Swag/Merch: [https://shop.mlops.community/]Connect with Demetrios on LinkedIn: /dpbrinkmConnect with Jeff on LinkedIn: /jeff-schwartzentruber/

SEPA Instant payments will allow personal and business customers to make a euro payment within ten seconds, 24 hours a day. In tandem with this, Verification of Payee (VoP) will also be introduced for both SEPA Instant and standard SEPA payments. The services are being introduced as part of the EU's Instant Payments Regulation and will come into effect from 9 October 2025. While the benefits of faster transactions and enhanced security are obvious, there may be some teething problems in the initial stages. Uneven rollout across Irish banks may cause short-term confusion or fragmented service, and VoP does not entirely eliminate scams or social-engineering risks. To find out more about this I caught up with  Donal McGuinness, CEO of Prommt who was a guest on the podcast last year.Donal talks about his background, faster payments, and older demographics.More about Donal McGuinessSerial entrepreneur Donal McGuinness is CEO of Prommt. He studied Computer Science at DCU and Telecommunications Engineering at DIT and spent the early years of his career in the telecommunications industry. His experience in mobile payments dates to 1999 when he founded his first mobile payments company, ItsMobile. Donal was also a Non-Executive Director of the Irish Internet Association from 2009 to 2011 and a movie distribution business from 2002 to 2020.In 2016 Donal joined a silicon valley startup in the identity verification space called Danal inc, where he set up and grew the global business outside of the USA as General Manager of EMEA until 2019 when the business was acquired by Boku Inc for $112 million USD. Donal joined Prommt as CEO in 2019. He is an innovator and is passionate about payment innovation.

Young Men, Sports Gambling, and a Better Way to Play … GUEST Sarah Eekhoff Zylstra… senior writer and faith-&-work editor for The Gospel Coalition … also coauthor of “Gospelbound: Living with Resolute Hope in an Anxious Age” and editor of “Social Sanity in an Insta World”. AI and Grief - the development and promotion of "griefbots" to simulate your lost loved one and why that is not a good idea from a Christian perspective. I wrote a little about it here:… GUEST Dr Derek Schuurman … Professor of Computer Science, Calvin Univ … author of “Shaping a Digital World,“ and co-author of “A Christian Field Guide to Technology for Engineers & Designers” How to be thankful. Confessions on how unthankful I've spent most of my life being focusing on how hard my life seemed to me to be rather than all of the grace that God had poured out. Ways to pray thankfully, how to find time to be thankful in the midst of relatives and cooking and cleaning and cooking and cooking and cooking.. Guest:Kathy Keller.See omnystudio.com/listener for privacy information.

Berk Birand, Ph.D. is the co-founder and CEO of Fero Labs, an industrial AI software company helping global manufacturers cut costs and emissions through explainable machine learning. With a Ph.D. in Electrical Engineering and Computer Science from Columbia University, Berk has published and patented research in IoT and network optimization. At Fero Labs, he leads the company's mission of “Profitable Sustainability,” enabling factories to reduce waste, energy use, and CO₂ emissions while boosting efficiency and profitability. Under his leadership, Fero Labs has raised over $20M in funding, saved clients tens of millions of dollars, and prevented more than 100,000 tons of CO₂ emissions. Hosted on Acast. See acast.com/privacy for more information.

SEPA Instant payments will allow personal and business customers to make a euro payment within ten seconds, 24 hours a day. In tandem with this, Verification of Payee (VoP) will also be introduced for both SEPA Instant and standard SEPA payments. The services are being introduced as part of the EU's Instant Payments Regulation and will come into effect from 9 October 2025. While the benefits of faster transactions and enhanced security are obvious, there may be some teething problems in the initial stages. Uneven rollout across Irish banks may cause short-term confusion or fragmented service, and VoP does not entirely eliminate scams or social-engineering risks. To find out more about this I caught up with Donal McGuinness, CEO of Prommt who was a guest on the podcast last year. Donal talks about his background, faster payments, and older demographics. More about Donal McGuiness Serial entrepreneur Donal McGuinness is CEO of Prommt. He studied Computer Science at DCU and Telecommunications Engineering at DIT and spent the early years of his career in the telecommunications industry. His experience in mobile payments dates to 1999 when he founded his first mobile payments company, ItsMobile. Donal was also a Non-Executive Director of the Irish Internet Association from 2009 to 2011 and ran a movie distribution business from 2002 to 2020. In 2016 Donal joined a silicon valley startup in the identity verification space called Danal inc, where he set up and grew the global business outside of the USA as General Manager of EMEA until 2019 when the business was acquired by Boku Inc for $112 million USD. Donal joined Prommt as CEO in 2019. He is an innovator and is passionate about payment innovation. See more podcasts here.

Researchers from Trinity and the ADAPT Research Ireland Centre for AI-Driven Digital Content Technology are leading a newly funded project to transform how AI is integrated into mobile and wireless communication systems. The NAIRA project (Native AI for Energy Efficient and Sustainable Radio Access Networks) is a pioneering initiative that envisions a new generation of intelligent, energy-aware networks capable of learning, adapting, and optimising themselves in real time. At its core, NAIRA seeks to embed AI natively within the very architecture of the Radio Access Network (RAN), moving beyond traditional approaches where AI operates as an external optimisation tool. This shift introduces Agentic AI, a new class of autonomous, goal-driven agents that can make local and collective decisions across the network. By doing so, NAIRA will enable networks that can autonomously reconfigure and optimise, while dynamically balancing energy efficiency, service quality, and operational cost. The three-year project, funded for €2.5 million via Call 7 of the Disruptive Technologies Innovation Fund (DTIF), will be coordinated by Prof. Marco Ruffini from Trinity's School of Computer Science and Statistics and ADAPT, and his co-PI, Dr Merim Dzaferagic. Industry partners include Dell Technologies, Red Hat Ltd., Intel Research and Development Ireland Ltd., Software Research Systems Ltd., and Tyndall National Institute. Prof. Marco Ruffini said: "NAIRA responds to the rapidly growing energy consumption of communication infrastructures, which is one of the most pressing global challenges - both from a logistical and sustainability perspective." "As data traffic continues to rise and connectivity becomes ubiquitous, mobile networks have emerged as a major source of energy demand within the ICT sector. NAIRA will address this issue by combining the latest innovations in AI, distributed intelligence, and Open RAN architectures to deliver a sustainable, high-performance framework for the networks of the future." Dr Merim Dzaferagic added: "By enabling intelligent collaboration among network components and continuous learning at the edge, NAIRA will demonstrate how artificial intelligence can be harnessed to drastically reduce energy use without compromising connectivity or user experience." "Its outcomes will contribute directly to Europe's green and digital transitions, setting the stage for AI-native 6G systems that are both sustainable and self-evolving." NAIRA was announced last week, along with another five newly funded DTIF projects, by Peter Burke, Minister for Enterprise, Tourism and Employment, and James Lawless, Minister for Further and Higher Education, Research, Innovation and Science. Jenny Melia, CEO, Enterprise Ireland, said: "The latest tranche of DTIF funding is an important solution for Enterprise Ireland clients in supporting them to transform and underpin their ability to scale, extend their global reach and create high-quality jobs. It is exciting to see high-potential start-ups (HPSUs) leading the development of disruptive technologies in areas such as transport logistics and quantum computing, and collaborating with established multinational companies and research institutions."

All Home Care Matters and our host, Lance A. Slatton were honored to welcome Kian Saneii as guest to the show.   About Kian Saneii Founder & CEO Independa, Inc.:   Kian Saneii is a serial entrepreneur and computer scientist, best known as the founder and CEO of Independa, an award winning health tech company delivering remote care solutions through computers, tablets, mobile phones and even TVs! His work helps people stay healthier at home longer, safer and more comfortably, while improving efficiency and effectiveness across senior care, homecare and healthcare systems.   Previously, Saneii held leadership roles at Websense, IPNet Solutions, and IMA, driving innovation in wireless, supply chain, and CRM technologies. He holds Computer Science undergrad and graduate degrees from NYU and Rutgers, respectively, and lives in Los Angeles, CA. Outside of work, he enjoys spending time with family, playing soccer, tennis, and cycling, and dabbling with the piano and drums.   About Independa, Inc.:   Independa, Inc., founded in 2009, is a leader in remote engagement, education and care solutions. Independa turns the everyday TV into a health and wellness hub, offering 24/7 access to telehealth services, games, wellness content, social engagement including video chat, in-home lab tests, and much more—improving access to health across the US.   Independa customers and partners enjoy top line growth, bottom line efficiencies, and brand elevation, and improving the lives and maintaining the health of those they serve. Independa provides solutions "From the Hospital to the Home, and everything in between."

Timestamps04:53 - Product-Led vs. Sales-Led Growth14:22 - How to Educate a Slow-Moving Market24:43 - Sales Metrics in a product vs sale- led approach34:16 - Choosing between product-led or sales-ledThis episode was produced by Founders Hive — a community of founders, experts, and investors driving entrepreneurship in Switzerland. We support early-stage startups in becoming investment-ready and guide them through the fundraising journey. As a partner of the Entrepreneurship Training programme, empowered by Innosuisse — Switzerland's innovation agency — we contribute to strengthening startups, SMEs, and research institutions in their innovation and growth.Checkout this link to learn more about Founders Hive, empowered by Innosuisse.Episode Summary:Igor Martin is the CEO of Hydromea, a Swiss deep-tech company building underwater wireless networks and portable intelligent robots to make data collection below the surface faster, safer, and cleaner. He holds an MBA in Business Administration and Management from Saint Louis University.Ramzi Bouzerda is the Founder and CEO of Droople, a B2B cleantech startup developing a water intelligence platform that digitizes the “last mile” of water, from faucets to appliances, combining IoT, AI, and SaaS to help buildings save resources and money. He holds a Masters Degree in Computer Science from EPFL. In this Opposing Views episode, they debate what really drives startup growth: sales-led or product-led strategies. Drawing from opposite industries - one building beneath the ocean, the other inside buildings. They reveal how timing, product maturity, and customer education shape growth models.They discuss why hybrid models often win in industrial tech, how to balance education with revenue, and what metrics truly matter beyond vanity KPIs. The conversation also dives into managing long sales cycles, using customer feedback loops to guide product evolution, and the ultimate truth every founder learns: great sales can't save a bad product.The cover portrait was edited by ⁠⁠⁠⁠⁠⁠Smartportrait. ⁠⁠⁠⁠Don't forget to give us a follow on⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Instagram⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠,⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Linkedin⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠,⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ TikTok⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, and⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Youtube ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠so you can always stay up to date with our latest initiatives. That way, there's no excuse for missing out on live shows, weekly giveaways or founders' dinners.

Glyphosate may be silently fueling sulfur deficiency, autism, gut issues, and chronic disease. Dr. Seneff explains why.

Dr. Julia Stoyanovich is Institute Associate Professor of Computer Science and Engineering, Associate Professor of Data Science, Director of the Center for Responsible AI, and member of the Visualization and Data Analytics Research Center at New York University. She is a recipient of the Presidential Early Career Award for Scientists and Engineers (PECASE) and a Senior member of the Association of Computing Machinery (ACM). Julia's goal is to make “Responsible AI” synonymous with “AI”. She works towards this goal by engaging in academic research, education and technology policy, and by speaking about the benefits and harms of AI to practitioners and members of the public. Julia's research interests include AI ethics and legal compliance, and data management and AI systems. Julia is engaged in technology policy and regulation in the US and internationally, having served on the New York City Automated Decision Systems Task Force, by mayoral appointment, among other roles. She received her M.S. and Ph.D. degrees in Computer Science from Columbia University, and a B.S. in Computer Science and in Mathematics & Statistics from the University of Massachusetts at Amherst.Links:https://engineering.nyu.edu/faculty/julia-stoyanovich https://airesponsibly.net/nyaiexchange_2025/ Hosted on Acast. See acast.com/privacy for more information.

Justine Doctolero is Project Development Officer at Fish-i. Fish-i is a patented hardware-software fish visual census technology developed by the University of the Philippines' Department of Computer Science and Marine Science Institute. It uses a stereo camera setup mounted on a rig to capture underwater footage from sample sites. The data collected is then analyzed by the AI-powered Video Analyzer Software, which identifies fish species, counts individuals, and estimates fish size, biomass, and population density. This system offers a precise, automated method for monitoring marine biodiversity, which is vital for ecosystem management and conservation. This episode is recorded live during the 2025 Regional Science and Technology Week in Western Visayas organized by DOST Region VI, held at Robinsons Roxas, Capiz.In this episode | 01:17 Ano ang Fish-i? | 07:00 What problem is being solved? | 14:30 What solution is being provided? | 29:34 What are stories behind the startup? | 44:52 What is the vision? | 54:03 How can listeners find more information?FISH-I | Website: https://fishi.ph | Facebook: https://facebook.com/fishiphDOST REGION VI | Website: https://region6.dost.gov.ph | Facebook: https://www.facebook.com/DOSTRegionVICHECK OUT OUR PARTNERS:Ask Lex PH Academy: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://asklexph.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ (5% discount on e-learning courses! Code: ALPHAXSUP)Argum AI: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://argum.ai⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠PIXEL by Eplayment: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://pixel.eplayment.co/auth/sign-up?r=PIXELXSUP1⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ (Sign up using Code: PIXELXSUP1)School of Profits: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://schoolofprofits.academy⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Founders Launchpad: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://founderslaunchpad.vc⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Hier Business Solutions: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://hierpayroll.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Agile Data Solutions (Hustle PH): ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://agiledatasolutions.tech⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Smile Checks: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://getsmilechecks.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠CloudCFO: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://cloudcfo.ph⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ (Free financial assessment, process onboarding, and 6-month QuickBooks subscription! Mention: Start Up Podcast PH)Cloverly: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://cloverly.tech⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠BuddyBetes: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://buddybetes.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠HKB Digital Services: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://contakt-ph.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ (10% discount on RFID Business Cards! Code: CONTAKTXSUP)Hyperstacks: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://hyperstacksinc.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠OneCFO: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://onecfoph.co⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ (10% discount on CFO services! Code: ONECFOXSUP)UNAWA: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://unawa.asia⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠SkoolTek: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://skooltek.co⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Better Support: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://bettersupport.io⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ (Referral fee for anyone who can bring in new BPO clients!)Britana: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://britanaerp.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Wunderbrand: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://wunderbrand.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠EastPoint Business Outsourcing Services: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://facebook.com/eastpointoutsourcing⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠DVCode Technologies Inc: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://dvcode.tech⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠NutriCoach: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://nutricoach.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Uplift Code Camp: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://upliftcodecamp.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ (5% discount on bootcamps and courses! Code: UPLIFTSTARTUPPH)START UP PODCAST PH⁠⁠⁠⁠YouTube⁠⁠⁠⁠ | ⁠⁠⁠Spotify⁠⁠⁠ | ⁠⁠⁠Apple Podcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ | ⁠⁠⁠Facebook⁠⁠⁠Patreon: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://patreon.com/StartUpPodcastPH⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠PIXEL: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://pixel.eplayment.co/dl/startuppodcastph⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Website: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://phstartup.online⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Edited by the team at: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://tasharivera.com⁠⁠

Dr. Efrat t Levy is a cybersecurity expert with a PhD in Computer Science and AI from Ben-Gurion University—one of Israel's top tech institutions. After years studying how to detect hackers through side-channel signals, she applied the same logic to trading. In this conversation, Dr. Levy explains how she uses machine learning to map non-repainting key levels that reveal the hidden order flow—the subtle timing and volume clues that expose the real intent of big players. She shows how correlated markets often move together at these key levels and how that insight helps her trade with precision and low drawdown. We discuss filtering noise, managing psychology, and bridging cybersecurity thinking with market analysis—exploring how data and discipline can uncover the quieter forces shaping market behavior. Links + Resources:  ●      Dr. Levy's website:  https://ctpacademy.com/ ●      Dr. Levy's email: efrat.levy@egindicators.com ●      Dr. Levy on youtube:  https://www.youtube.com/@EGIndicators ●      Dr. Levy's linktree: https://linktr.ee/efrat.levy   Sponsor of Chat With Traders Podcast:  ●       Trade The Pool:  http://www.tradethepool.com Time Stamps: Please note: Exact times will vary depending on current ads.  ●   00:00 – Intro: From AI & cyber to trading ●     01:20 – PhD background, domains where AI applies ●     04:30 – First market exposure: anomaly detection for derivatives ●     07:45 – Side-channel analysis: uncovering hidden intent ●     12:10 – “Hidden order flow” and fingerprinting big players ● 18:30 – Single-tick levels vs. zones; why zones mislead ●     22:00 – The correlation filter: 3 of 4 assets hitting together ●     26:00 – Entries & stops: lowest drawdown mindset ●     30:30 – Managing trades by other markets' levels ●     33:45 – Timeframe-agnostic approach; redefining “correlation” ●     51:00 – Instruments: indices, gold/silver/copper/platinum ●     56:00 – Psychological tripwires:streaks, missed A+ setups, ego risk ●     1:04:00 – How to reach Dr. Levy ●     1:05:00 – Catch up with Tessa   Trading Disclaimer:  Trading in the financial markets involves a risk of loss. Podcast episodes and other content produced by Chat With Traders are for informational or educational purposes only and do not constitute trading or investment recommendations or advice. Learn more about your ad choices. Visit megaphone.fm/adchoices

What does IESE look for in MBA applicants? How do they evaluate your academic aptitude, post-MBA career goals, leadership potential and fit? In this episode, IESE MBA Admissions Director Patrik Wallen shares candid insights into what makes candidates stand out — and what makes IESE's two-year MBA unique.Program Highlights - What Makes the IESE MBA Unique?Introduction (0:00)What Makes the IESE MBA Unique? (3:30)IESE's Reputation with Employers (11:30)IESE MBA's Two-Year Course Structure (14:27) Living, Studying & Working in Barcelona, Spain (18:37)The Importance of Speaking the Local Language: Spanish (25:10)IESE MBA Admissions & Scholarships - How to Improve Your Chances? What IESE MBA Looks for When Building a Class (28:00)Patrik's Thoughts on Post-MBA Goals (37:00)GMAT/GRE Scores & GPA (41:45)Resumes (48:00)Written Essays & Video Essays (52:45)Letters of Recommendation (55:35)Interviews & IESE MBA's Assessment Day (57:45)How IESE MBA Admissions Views Scholarships & How Applicants Can Win Funding (1:03:35)Career Opportunities at IESE - What to Know & How to PrepareHas AI Affected Recruiting for Consulting? (1:10:55)IESE MBA's Grading System (1:17:30)What Applicants Need to Know about Landing Jobs in Spain & Europe (1:20:05)Structured Recruiting & Unstructured Recruiting: What Applicants Can Expect from IESE's Career Services (1:27:45)About Our GuestPatrik Wallen is the MBA Admissions Director at IESE Business School. Previously, he was Director of IESE's Career Development Center. Before joining IESE, Patrik worked as a general manager in hospitality, founded a fish importing business and worked as a software consultant. Patrik got his Masters in Science in Computer Science from KTH Royal Institute of Technology and his MBA from IESE in 2007.Show NotesIESE MBAGet feedback on your profile from IESE MBA's Admissions Team before you applyIESE MBA Scholarships and Post-Graduation Payment Aid (PPA) for MBAsMBA Application Resources⁠⁠Get free school selection help at Touch MBA⁠⁠⁠⁠Get pre-assessed by top international MBA programs⁠⁠⁠⁠Get the Admissions Edge Course: Proven Techniques for Admission to Top Business Schools⁠⁠⁠⁠Our favorite MBA application tools (after advising 4,000 applicants)

October 29, 2025 ~ Dr. Scott Grasman, who leads Kettering University's College of Engineering and Computer Science, joins Chris, Lloyd, and Jamie to discuss Kettering's co-op experiences, students working on industry equipment, and more! Hosted by Simplecast, an AdsWizz company. See https://pcm.adswizz.com for information about our collection and use of personal data for advertising.

The current largest challenge in ML-based malware detection is maintaining high detection rates while samples evolve, causing classifiers to drift. What is the best way to solve this problem? In this talk, Dr. Botacin presents two views on the problem: the scientific and the engineering. In the first part of the talk, Dr. Botacin discusses how to make ML-based drift detectors explainable. The talk discusses how one can split the classifier knowledge into two: (1) the knowledge about the frontier between Malware (M) and Goodware (G); and (2) the knowledge about the concept of the (M and G) classes, to understand whether the concept or the classification frontier changed. The second part of the talk discusses how the experimental conditions in which the drift handling approaches are developed often mismatch the real deployment settings, causing the solutions to fail to achieve the desired results. Dr Botacin points out ideal assumptions that do not hold in reality, such as: (1) the amount of drifted data a system can handle, and (2) the immediate availability of oracle data for drift detection, when in practice, a scenario of label delays is much more frequent. The talk demonstrates a solution for these problems via a 5K+ experiment, which illustrates (1) how to explain every drift point in a malware detection pipeline and (2) how an explainable drift detector also makes online retraining to achieve higher detection rates and requires fewer retraining points than traditional approaches. About the speaker: Dr. Botacin is a Computer Science Assistant Professor at Texas A&M University (TAMU, USA) since 2022. Ph.D. in Computer Science (UFPR, Brazil), Master's in Computer Science and Computer Engineering (UNICAMP, Brazil). Malware Analyst since 2012. Specialist in AV engines and Sandbox Development. Dr. Botacin published research papers at major academic conferences and journals. Dr. Botacin also presented his work at major industry and hacking conferences, such as HackInTheBox and Hou.Sec.Con.Page: https://marcusbotacin.github.io/

a feature on the new BVU Computer Science Fellowship.

Many of you are already using AI tools in your studies, careers, or job searches — but how do you make sure you're using them wisely?In this episode of Energy Sector Heroes, I speak with Vered Shwartz, Assistant Professor of Computer Science at the University of British Columbia and a specialist in natural language processing. We explore how AI is reshaping recruitment, interviews, and professional development — and what skills humans still need to bring to the table.Here are three actionable takeaways you can apply straight away:

Prasad Gollapalli is chief executive officer, founder and chairman of the board of Qued, a pioneering cloud-based AI workflow automation platform transforming load appointment scheduling into the future. It seamlessly automates the entire process, securing the optimal appointment times to all types of loads including multi-stop loads. By eliminating the chaos of spreadsheet management, overflowing inboxes, and cumbersome portal logins, Qued empowers 3PLs, brokers, and carriers with a streamlined workflow while delivering significant workforce optimization benefits for shippers. Through Qued, brokers build trust by guaranteeing on-time deliveries, enhancing communication, and fostering transparency, thereby strengthening industry relationships and enhancing efficiency and reliability. Qued's innovative approach has earned recognition from industry leaders such as McLeod Software, a premier freight management and transportation software provider, which has certified Qued as an integration partner. With nearly three decades of industry experience, Prasad is a seasoned entrepreneur renowned for his success in start-up ventures and leadership roles within trucking and shipping software companies. Prior to Qued, Prasad founded and led Trucker Tools, the industry's premier digital freight management platform with the most popular Trucker Tools driver app. As the CEO of Trucker Tools, he led the team in implementing innovative solutions including capacity management, predictive freight matching, automated booking, and real-time GPS-based visibility. Prasad sold Trucker Tools to ASG, a portfolio company of Alpine Investors, in June 2021. In December of 2024, DAT (a Roper Industries company) acquired Trucker Tools making ASG extremely happy with the outcome.  Prior to his tenure at Trucker Tools, Prasad held various leadership positions focused on the design and implementation of advanced transportation technology solutions. As Director of Product Management at Getloaded.com, later acquired by DAT, he led business and product strategy efforts. Prasad's expertise extends to the shipping industry, where he served as a product manager for the Liberian International Ship & Corporate Registry (LISCR, LLC). Prasad holds an MBA with a focus on strategy and entrepreneurship from the University of Maryland's Robert H. Smith School of Business, as well as a master's degree in Computer Science from the University of Alabama-Huntsville. He earned his bachelor's degree in computer science and engineering from the University of Madras, India. Prasad resides in Ashburn, Virginia, with his wife and daughter. Learn more about your ad choices. Visit megaphone.fm/adchoices

Ryan Calo is a professor at the University of Washington School of Law with a joint appointment at the Information School and an adjunct appointment at the Paul G. Allen School of Computer Science and Engineering. He is a founding co-director of the UW Tech Policy Lab and a co-founder of the UW Center for an Informed Public. In his new book, Law and Technology: A Methodical Approach, published by Oxford University Press, Calo argues that if the purpose of technology is to expand human capabilities and affordances in the name of innovation, the purpose of law is to establish the expectations, incentives, and boundaries that guide that expansion toward human flourishing. The book "calls for a proactive legal scholarship that inventories societal values and configures technology accordingly."

There are significant challenges in education that have been ignored for too long, and AI is forcing us to confront them urgently; otherwise, AI will think for us, rather than with us. The need to learn how to learn has been increasingly important, but it has rarely been fully integrated into the education system. My guest in this episode is a doctoral student researching how to teach critical thinking with the aid of AI. She is sounding the alarm on the importance of teaching this skill with AI, otherwise, she thinks that AI will not only think for us, but it will not allow us to think at all. Trini Balart is a Ph.D. candidate in the Multidisciplinary Engineering Department at Texas A&M University, originally from Chile. She holds a background in Industrial Engineering, Computer Science, and a major in Engineering, Design, and Innovation from the Pontifical Catholic University of Chile. Her research focuses on engineering education and the impact of generative artificial intelligence on how we teach, learn, and think. She is especially interested in how these tools are shaping the development of critical thinking in engineering students and prompting us to rethink the true purpose of education and what we understand by learning itself. Passionate about human-centred development, innovation, and progress, Trini is committed to building a future where AI empowers, rather than replaces, our uniquely human capabilities. She envisions a future where these tools may even help us reach deeper levels of knowledge and societal development. LinkedIn: https://www.linkedin.com/in/trinidad-balart-386213223/

Dr. Aida Nematzadeh is a Senior Staff Research Scientist at Google DeepMind where her research focused on multimodal AI models. She works on developing evaluation methods and analyze model's learning abilities to detect failure modes and guide improvements. Before joining DeepMind, she was a postdoctoral researcher at UC Berkeley and completed her PhD and Masters in Computer Science from the University of Toronto. During her graduate studies she studied how children learn semantic information through computational (cognitive) modeling. Time stamps of the conversation00:00 Highlights01:20 Introduction02:08 Entry point in AI03:04 Background in Cognitive Science & Computer Science 04:55 Research at Google DeepMind05:47 Importance of language-vision in AI10:36 Impact of architecture vs. data on performance 13:06 Transformer architecture 14:30 Evaluating AI models19:02 Can LLMs understand numerical concepts 24:40 Theory-of-mind in AI27:58 Do LLMs learn theory of mind?29:25 LLMs as judge35:56 Publish vs. perish culture in AI research40:00 Working at Google DeepMind42:50 Doing a Ph.D. vs not in AI (at least in 2025)48:20 Looking back on research careerMore about Aida: http://www.aidanematzadeh.me/About the Host:Jay is a Machine Learning Engineer at PathAI working on improving AI for medical diagnosis and prognosis. Linkedin: shahjay22  Twitter:  jaygshah22  Homepage: https://jaygshah.github.io/ for any queries.Stay tuned for upcoming webinars!**Disclaimer: The information in this video represents the views and opinions of the speaker and does not necessarily represent the views or opinions of any institution. It does not constitute an endorsement by any Institution or its affiliates of such video content.**

Derek Champagne talks with Sramana Mitra. Sramana is the founder and CEO of One Million by One Million (1Mby1M), the world's first and only global virtual incubator/accelerator. Its goal is to help a million entrepreneurs globally reach a million dollars in annual revenue, build a trillion dollars in global GDP, and create 10 million jobs.Since its founding in 2010, 1Mby1M has become a powerful platform for democratization of entrepreneurship acceleration.Sramana also developed 1Mby1M's Incubator-in-a-Box methodology for Corporate Incubation that is used by enterprises to manage internal and external innovation endeavors.In 2015, LinkedIn named Sramana one of their Top 10 Influencers alongside Bill Gates and Richard Branson.Sramana has been an entrepreneur and a strategy consultant in Silicon Valley since 1994. Her fields of experience span from hardcore technology disciplines like Artificial Intelligence, Cloud Computing and Semiconductors, to sophisticated consumer marketing industries including e-commerce, fashion and education.As an entrepreneur CEO, Sramana founded three companies: Dais (off-shore software services), Intarka (sales lead generation and qualification software using Artificial Intelligence algorithms; VC: NEA) and Uuma (online personalized store for selling clothes using Expert Systems software; VC: Redwood). Two of these were acquired, while the third received an acquisition offer from Ralph Lauren which the company did not accept.As strategy consultant, Sramana has consulted with over 80 companies, including public companies such as SAP, Cadence Design Systems, Webex, KLA-Tencor, Best Buy, MercadoLibre and Tessera among others. Her work has also included numerous startups and VCs.Sramana has a Masters degree in EECS from MIT and a Bachelors degree in Computer Science and Economics from Smith College.From 2000 to 2004, Sramana chaired the MIT Club of Northern California's entrepreneurship program in Silicon Valley.Learn more at www.1Mby1M.comBusiness Leadership Series Intro and Outro music provided by Just Off Turner: https://music.apple.com/za/album/the-long-walk-back/268386576

Dr. Roman Yampolskiy  explains: ⬛How AI could release a deadly virus ⬛Why these 5 jobs might be the only ones left ⬛How superintelligence will dominate humans ⬛Why ‘superintelligence' could trigger a global collapse by 2027 ⬛How AI could be worse than nuclear weapons ⬛Why we're almost certainly living in a simulation Follow Dr Roman: X - https://x.com/romanyam Google Scholar - https://bit.ly/4gaGE72 You can purchase Dr Roman's book, ‘Considerations on the AI Endgame: Ethics, Risks and Computational Frameworks', here: https://amzn.to/4g4Jpa5 AI could end humanity, and we're completely unprepared. Dr. Roman Yampolskiy reveals how AI will take 99% of jobs, why Sam Altman is ignoring safety, and how we're heading toward global collapse…or even World War III. Dr. Roman Yampolskiy is a leading voice in AI safety and a Professor of Computer Science and Engineering. He coined the term “AI safety” in 2010 and has published over 100 papers on the dangers of AI. He is also the author of books such as, ‘Considerations on the AI Endgame: Ethics, Risks and Computational Frameworks'. #ai #technology #tech #news #usa #world #china

Laura Ashley Johnson teaches us what it takes to push through massive setbacks and rebuild a thriving food blog with grit, faith, and community. Dinner in 321 is a place for food and nutrition inspiration for cooks of all levels, busy families and food lovers! It's Laura Ashley's mission to make cooking fun, share delicious and nutritious recipes (comfort food, crockpot meals, casseroles, southern cooking, and nostalgic recipes), and spread joy! She's a Kentucky girl now Texan, married, with two kids (one graduate from A&M now a chemical engineer and the other graduating in May in Computer Science from Texas Tech), and a dog named Butter and cat named Newman. She LOVES cooking, trying new restaurants, traveling to NYC, camping in their Airstream, everything Fall and Christmas, and simply spending time at home with her family. Laura Ashley Johnson faced every blogger's nightmare twice: her website was hijacked for illegal activity and her Facebook audience of nearly half a million was stolen by hackers. Instead of quitting, she rebuilt, monetized, and grew stronger than ever. In this conversation, you'll hear what kept her going, how she rebuilt from scratch, and why connection and faith are the foundations of her success. Key points discussed include: Vet everything: Protect yourself by carefully verifying every opportunity and brand approach. Ask for help: Trusted peers and mentors can open doors and provide the right contacts when you need them most. Lean on community: Strong relationships inside the blogging world can turn obstacles into growth opportunities. Protect your platforms: Use strong passwords, verification tools, and be wary of fake collaborations. Handle trolls wisely: Don't feed negativity, focus on loyal supporters instead. Turn off notifications: Boundaries around social media help you protect mental health and joy in your work. Hire with discernment: Build your team from trusted recommendations, not random portals. Connect with Laura Ashley Johnson Website | Instagram Subscribe to Megan's Substack - Discover more about her first non-cookbook book!

Erie Meyer, Senior Fellow at Georgetown Law's Institute for Technology Law & Policy and Senior Fellow at the Vanderbilt Policy Accelerator, and Laura Edelson, Assistant Professor of Computer Science at Northeastern University, who are coauthors of the recent toolkit, “Working with Technologists: Recommendations for State Enforcers and Regulators,” join Lawfare's Justin Sherman to discuss how state enforcers and regulators can hire and better work with technologists, what technologists are and are not best-suited to help with, and what roles technologists can play across the different phases of enforcer and regulator casework. They also discuss how to best attract technologists to enforcement and regulation jobs; tips for technologists seeking to better communicate with those lawyers, compliance experts, and others in government with less technology background; and how this all fits into the future of AI, technology, and state and broader regulation.To receive ad-free podcasts, become a Lawfare Material Supporter at www.patreon.com/lawfare. You can also support Lawfare by making a one-time donation at https://givebutter.com/lawfare-institute.Support this show http://supporter.acast.com/lawfare. Hosted on Acast. See acast.com/privacy for more information.