Podcasts about Machine learning

The Fact Fly's One Big Question: Robots How do robots know how to move, think, and even learn? Join Lauren and the high-energy, gear-obsessed Fact Fly as they explore robot facts galore! We dive deep into the hardware and software to discover how machines turn lines of code into real-world action. In this high-tech episode, we explore: Sensors: The "eyes and ears" that allow robots to gather data and avoid flying into screen doors. The Processor: The robot's brain that runs the "strategy guide" known as Code. If-Then Rules: The logic puzzles that tell a robot exactly what to do when it hits an obstacle. Actuators: The motors and gears that act as "metal muscles" to move arms, wheels, and tools. Machine Learning: How advanced bots gain "XP" by watching the world and writing their own instructions. Swarm Robotics: The "hive mind" science of hundreds of tiny bots working together on a single quest. Along the way, the Fact Fly tests his "actuators" in a high-stakes game of Programmer Says and takes a virtual tour of a car factory to see giant robot arms in action. Perfect for curious kids, future engineers, and young gamers, this episode explains the "lore" of robotics in a way that is accessible, funny, and 100% glitch-free!

“Climate change is the biggest health threat of our century, so we need to train clinicians for a future where it will alter disease patterns, the demand on health systems, and how care is delivered,” says Dr. Sandro Demaio, director of the WHO Asia-Pacific Centre for Environment and Health, underscoring the stakes behind the organization's first regionally-focused climate and health strategy. The five-year plan Dr. Demaio is leading aims to help governments in 38 countries with 2.2 billion people manage rising heat, extreme weather, sea-level change, air pollution and food insecurity by adapting health systems, protecting vulnerable populations, and reducing emissions from the healthcare sector itself. In this timely interview with Raise the Line host Michael Carrese, Dr. Demaio draws on his experiences in emergency medicine, global public health, pandemic response and climate policy to argue for an interconnected approach to strengthening systems and preparing a healthcare workforce to meet the heath impacts of growing environmental challenges. This is a great opportunity to learn how climate change is reshaping medicine, public health and the future of care delivery.  Mentioned in this episode: WHO Asia-Pacific Centre for Environment and Health If you like this podcast, please share it on your social channels. You can also subscribe to the series and check out all of our episodes at www.osmosis.org/podcast

Sara Howard, Ph.D., is an epidemiologist in the Health Studies group at ORAU who earned her doctoral degree in 2025. For part of her dissertation, she used machine learning techniques to analyze data from the National Supplemental Screening Program, which ORAU manages with several partners for the U.S. Department of Energy, to examine the link between chronic obstructive pulmonary disease (COPD) and occupational exposures. While we often think of COPD in the context of smoking, Howard wanted to look at the potential to be exposed to something other than smoking. Her dissertation, An Epidemiologic Study of Chronic Obstructive Pulmonary Disease in the United States, was published by the University of Tennessee in 2025. In this conversation, Howard talks about data in the context of epidemiology and the rising use of Artificial Intelligence and how, when used correctly, it can be transformative for data analysis. To learn more about the National Supplemental Screening Program, visit https://orau.org/nssp/index.html

This week on Catalyst, guest host Jod Kaftan sits down with automotive industry expert Clemens Conrad to discuss the evolution of mobility and the future of automotive design. Jod and Clemens discuss how car interiors are becoming more personalized and how OEMs are adapting to hyper-personalize the automotive experience. They also explore how cultural differences in transportation inform automotive design and break down some recent stats about which companies are leading the way in automotive design and innovation - some of the results might surprise you! Please note that the views expressed may not necessarily be those of NTT DATALinks: Clemens Conrad Learn more about Launch by NTT DATASee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

As AI increasingly shapes geopolitics, elections, and civic life, its impact on democracy is becoming impossible to ignore. In this episode, Daniel and Chris are joined by security expert Bruce Schneier to explore how AI and technology are transforming democracy, governance, and citizenship. Drawing from his book Rewiring Democracy, they explore real examples of AI in elections, legislation, courts, and public AI models, the risks of concentrated power, and how these tools can both strengthen and strain democratic systems worldwide.Featuring:Bruce Schneier – XChris Benson – Website, LinkedIn, Bluesky, GitHub, XDaniel Whitenack – Website, GitHub, XLinks: Schneier on SecuritySponsors:Framer - The website builder that turns your dot com from a formality into a tool for growth. Check it out at framer.com/PRACTICALAIZapier - The AI orchestration platform that puts AI to work across your company. Check it out at zapier.com/practicalUpcoming Events: Register for upcoming webinars here!

At AWS re:Invent's Executive Summit, Tom Godden, Executive in Residence at AWS, delivered a masterclass on transforming data analytics from a technical initiative to a core business driver—using Formula 1 racing as the ultimate example of data excellence in action. Learn how leading organizations leverage advanced analytics and AI to convert millions of data points into actionable insights that drive competitive advantage. Discover a proven framework for data excellence that focuses on customer-centric utilization, agile strategies, and adaptive architecture. From avoiding the "$50 million mistake" of trying to "boil the ocean" to implementing real-time analytics like F1 teams, this session reveals how to elevate your data strategy and create business victory in today's AI-powered economy.

We need to stop treating our data like something to be stored and more like a mission critical supply lines.Andrew Schoka spent his military career in offensive cyber, including stints in the Joint Operations Command and Cyber Command. Now he's building Hardshell to solve a problem most organizations don't even realize they have yet.Here's the thing: AI is phenomenal at solving problems in places where data is incredibly sensitive. Healthcare, financial services, defense—these are exactly where AI could make the biggest impact. But there's a problem.Your ML models have a funny habit of remembering training data exactly how it went in. Then regurgitating it. Which is great until it's someone's medical records or financial information or classified intelligence.Andrew makes a crucial point: organizations still think of data as a byproduct of operations—something that goes into folders and filing cabinets. But with machine learning, data isn't a byproduct anymore. It's a critical supply line operating at speed and scale.The question isn't whether your models will be targeted. It's whether you're protecting the data they train and interpret like the supply lines they actually are.Mentioned: Destruction of classified tech in downed helicopter during Osama bin Laden raid

On this episode of The Association Podcast, we welcome Laura Sparks, Director of Marketing and Communications at the American Society of Appraisers. We dive into Laura's journey into the association space, exploring her eclectic background and approach to marketing and leadership. We also discuss the importance of member engagement, the integration of AI in association marketing, and the critical role of content quality. Laura highlights the significance of marketing's seat at the table and the need for collaborative planning to enhance member experiences and drive growth. Additionally, we explore volunteer engagement strategies and the value of feedback in refining marketing efforts. 00:00 Introduction and Guest Welcome 00:37 Rapid Fire Questions 02:23 Laura's Journey into Associations 05:40 Marketing and Sales Synergy 05:56 Content Marketing and AI 08:59 Tagging and Data Management 15:50 Member Experience and Feedback 26:01 The Role of Marketing in Associations 27:58 Marketing vs. Promotion: Understanding the Difference 29:55 The Importance of Marketing's Seat at the Table31:02 Gender Dynamics in Marketing 32:29 Engaging Volunteers Effectively 35:28 Marketing Volunteer Opportunities 38:16 The Challenges of Committee Work 43:49 Planning and Ideation in Marketing 50:24 Final Thoughts and Farewell

We have a special episode of Raise the Line on tap today featuring the debut of host Dr. Parsa Mohri, who will now be leading our NextGen Journeys series that highlights the fresh perspectives of learners and early career healthcare professionals around the world on education, medicine, and the future of care. Parsa was himself a NextGen guest in 2024 as a medical student at Acibadem University in Turkey. He's now a general physician working in the Adult Palliative Care Department at Şişli Etfal Research and Training Hospital in Istanbul.  Luckily for us, he's also continuing in his role as a Regional Lead for the Osmosis Health Leadership Initiative (OHLI). For his first guest, Parsa reached out to a former colleague in the Osmosis family, Negeen Farsio, who worked with him as a member of OHLI's predecessor organization, the Osmosis Medical Education Fellowship. Negeen is now a graduate student in medical anthropology at Brunel University of London, a degree which she hopes will inform her future work as a clinician. “Medical anthropology is a field that looks at healthcare systems and how human culture shapes the way we view different illnesses, diseases, and treatments and helps you to see the full picture of each patient.” You are sure to enjoy this heartfelt conversation on how Negeen's lived experience as a patient and caregiver have shaped her commitment to mental health and patient advocacy, and how she hopes to marry humanity with medicine in a world that yearns to heal. If you like this podcast, please share it on your social channels. You can also subscribe to the series and check out all of our episodes at www.osmosis.org/podcast

This week on Catalyst, Tammy chats with Jimit Arora, the CEO of Everest Group. Jimit is a leader who deeply understands the challenges that organizations face and how they can move forward with confidence. Jimit and Tammy discuss the importance of a growth mindset and how companies can meaningfully adopt AI. According to Jimit the key to meaningful adoption is for companies to be aware of PTSD - process debt, tech debt, skills debt and data debt. Jimit also shares what he thinks will be the biggest trends to affect global services in the next year. Please note that the views expressed may not necessarily be those of NTT DATALinks: Jimit Arora LinkedInEverest Group Learn more about Launch by NTT DATASee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

As generative AI moves into production, traditional guardrails and input/output filters can prove too slow, too expensive, and/or too limited. In this episode, Alizishaan Khatri of Wrynx joins Daniel and Chris to explore a fundamentally different approach to AI safety and interpretability. They unpack the limits of today's black-box defenses, the role of interpretability, and how model-native, runtime signals can enable safer AI systems. Featuring:Alizishaan Khatri – LinkedInChris Benson – Website, LinkedIn, Bluesky, GitHub, XDaniel Whitenack – Website, GitHub, XUpcoming Events: Register for upcoming webinars here!

In this rebroadcast from the Executive Summit at re:Invent, AWS Executives in Residence Jana Werner and Phil Le-Brun deliver a powerful keynote challenging traditional transformation approaches by trading the risk of massive overhauls for a culture of continuous advancement. Drawing from their experience leading large-scale change across diverse organizations, they identify 40 common anti-patterns that prevent organizations from becoming better versions of themselves. You'll hear candid stories and hard-won leadership lessons from extreme mountaineers to world-class poker players and Amazon's own Day 1 culture. This session offers fresh perspective to help you bring laser-like clarity to your goals, foster true ownership among your teams, and free your organization to move at the speed of its best ideas.

Foundations of Amateur Radio Noise la la la la la hinders if I were a rich man effective a noise annoys an oyster communication but a noisy noise annoys an oyster more. Or said differently, when you're trying to communicate, something that the hobby of amateur radio does in spades, you'll need to deal with a phenomenon called noise. This noise comes in different forms, but the effect is the erection of barriers to successful communication. We refer to the impact of noise as a signal to noise ratio or SNR, the signal being the desired information, the noise the undesired interference. Expressed in decibels so you can deal with a massive range using a small number, an SNR greater than 0 dB means that the signal is stronger than the noise. Building a shack requires that you consider noise in many forms. If you've been a radio amateur for a few moments, your mind is likely to head straight for the hiss, crackle and pop you might hear whilst attempting to communicate on HF, but there's a few other things to discuss. There's all sorts of electronic noise received by your radio. In addition, there's audio noise picked up by your ears, and often your microphone. Then there's the noise that you produce, either from your transmitter into the rest of the building, or from your mouth or speakers into the ears of the people you share the space with. Starting with audio, having a space that you can close the door on is a good way to limit the noise coming into and leaving your shack. An alternative is to wear headphones and generate text to speech, or prerecord your voice, ready for a contact, potentially ideal for contesting, not so much for free form discussion. Another consideration is audio from other radios, including those tuned to a local broadcaster, or aviation frequencies. In other words, if you're transmitting with a microphone, make sure that there's no other audio coming through. In some cases it's even illegal to transmit that audio, but in all cases it's noise that makes communication more difficult. This kind of audio noise mitigation is pretty straightforward. In stark contrast, achieving the same with electronic noise is pretty much a balancing act between budget and effectiveness. The impact of noise is inversely proportional to distance. Essentially, the closer it is, the more impact it has. With that in mind, when you start dealing with noise, start nearby and work your way out. As you eliminate the nearby noise, other sources will become apparent. Without turning this into a noise mitigation class, the process is essentially one of elimination. First locate the noise source, then eliminate it. That's easier said than done. For example, if the noise source is a power supply sitting on your bench, you can turn it off, except if that power supply is the one powering your radio, so perhaps I should say: "attempt to eliminate it" instead. There's plenty of ways to have a go at this and volumetric kilotons of content published on the subject, some of it even useful. In many, but not all cases, noise is an electrical phenomenon that enters via any means possible and you'll need to attempt noise mitigation at multiple points of entry. Obvious sources are the power supply, coax and the antenna connection, the speaker cable, the microphone lead, and if you're using a computer, the USB, serial or Ethernet cable and within the computer itself. Each requiring different approaches. The obvious one is to disable the noise, that is, turn off the offending device. As I said, that might not be an option, but you can replace noisy gear, or place it further away. There's isolation, using tools like ferrites and chokes to stop the noise from reaching your radio. Often in the form of a clip-on blob, you'll find these on things like monitor and USB cables. Place the ferrite as close as possible to the input of your radio. If it's loose on the cable, wind it through the ferrite, the tighter the better. There's software solutions with varying levels of effectiveness. You'll find DSP or Digital Signal Processing knobs and buttons on many radios. They're generally helpful for narrowband repeating noises, like the hum of an electric motor or power supply. There's tools that attempt to impose a noise on your signal that cancels out the noise, anti-noise, if you like, by receiving the noise, inverting it and adding it to your signal, thus, at least theoretically, eliminating it, noise minus noise is silence. This can take the form of a device for noise coming in from the antenna, but it also applies to things like noise cancelling speakers. In audio this is called active noise cancelling. There's also a new crop of noise cancelling software, using A.I. or Assumed Intelligence, that captures your signal, attempts to figure out what's noise and what's not, removes the noise and then feeds it back to you. Your Mileage May Vary and if you break it, you get to keep both parts. Consider your privacy and security implications of sending your audio out the door to be processed. That's not to say that, at least theoretically, effective local Machine Learning models could be created to help with this. I have yet to see one. At some point you'll hopefully reach a place where the noise inside your shack is no longer an issue. Then you'll discover your noisy neighbours, with solar panel inverters, pool pumps, plasma televisions, broadband modems, kids toys and pretty much anything electronic, purchased with no consideration whatsoever in relation to your hobby. I'm mentioning this, because more often than not, you'll have little or no control of those devices. You could cultivate your relationship with your neighbours and discuss your situation, but don't expect compliant hardware to magically solve all your issues. Antenna orientation, horizontal versus vertical might assist, as might placement or distance from the noise source. It's why I suggest that you start this journey with simple antennas, with plenty of room for evaluation and modification to suit the conditions. All this to point out that once you have the perfect shack, your work is only just beginning, but then I suspect that you've already realised this. Like antennas, I will note that noise and its elimination is an integral part of this hobby. It's easy to forget that, whilst you're in the middle of a frustrating hunt for a noise source, and if you like you can think of it as ripples or waves on the pond whilst you're casting a fly. When you discuss this with other amateurs, you'll likely come across terms like QRM and QRN, the last letter describing either Man-made or Natural noise. I'm not sure how helpful the distinction is, but it's there if you need it. One resource worth mentioning is a website called qrm.guru. It has documented processes and tools to discover where noise is coming from and how to go about dealing with it. I'm Onno VK6FLAB

In this episode of Christ the Center, we welcome Josiah Leinbach to discuss William Whitaker's A Disputation on Holy Scripture—a monumental sixteenth-century defense of sola Scriptura, newly edited and republished by Prolego Press. Written in 1588 against leading Roman Catholic theologians such as Robert Bellarmine, Whitaker's work offers a comprehensive treatment of Scripture's authority, canon, clarity, and sufficiency. Leinbach explains how Whitaker combined Renaissance humanism with scholastic rigor, engaging Scripture, church history, and patristic sources to show that Protestant convictions about Scripture were neither novel nor reactionary, but deeply rooted in the catholic tradition of the church. The conversation also explores the modern relevance of Whitaker's work—especially amid contemporary debates over authority, tradition, and ecumenism. Leinbach reflects on how advances in historical and textual scholarship have confirmed many of the Reformers' arguments, while Rome's own positions have shifted over time. Whitaker's insistence on the perspicuity of Scripture, the singular infallibility of God's Word, and the Spirit's inward testimony offers not only apologetic clarity but deep pastoral comfort. This episode invites listeners to recover confidence in Scripture as God's clear and sufficient means of revealing Christ to his people. Watch on YouTube Chapters 00:07 Introduction 01:08 William Whitaker's A Disputation on Holy Scripture 07:25 Leinbach's Transition from History to Machine Learning 18:10 Whitaker's Polemical Approach 22:03 The Canon of Scripture 25:50 The Perspicuity of Scripture 28:29 Biblical Authority 32:02 The Testimony of the Holy Spirit 35:27 Ecumenical Dialogue Yesterday and Today 48:10 Future Works 52:25 Conclusion Participants: Camden Bucey, Josiah Leinbach

This week, as part of our 2026 Imperatives launch, I discuss the explosive new world of agents and superagents, and explain why and how you, as an HR or business person, will be “building apps” and “building agents” at work. I also explain why the Superagent architecture, which is explained in our Imperatives research, is going to replace traditional monolithic HR and other applications at a speedy rate. Yes, we're all going to be “Citizen Developers” and we won't necessarily need Vibe Coding apps to do this. Galileo is an app-builder today and the upcoming Mars release is going to take it even further. This important topic is a big and very important shift in your thinking about how you run HR and also how you select, purchase, and implement HR technology of all kinds. Listen in, join in our webinar next week, and get Galileo to learn more and get started. Galileo will show you how to start building solutions today. All this information and much more is part of our 2026 Imperatives and will be embedded into Galileo, so get Galileo and ask Galileo to give you specific examples of how you can apply AI to HR in your particular company. This research includes 30+ prompts to help you understand enterprise AI in detail. Join me in my 2026 Imperatives webinar on January 21 for more details. Like this podcast? Rate us on Spotify or Apple or YouTube. Additional Information Is Oracle's Debt Level Getting Crazy? There's A Method To This Madness. Yes, AI Is Really Impacting The Job Market. Here's What To Do. The Collapse And Rebirth Of Online Learning And Professional Development Imperatives for 2026: What's Ahead for Enterprise AI, HR, Jobs, And Organizations Chapters (00:00:00) - Claude Code and You as a Citizen Developer(00:05:24) - Building a self-contained AI-enabled HR Software(00:11:41) - Machine Learning and the Software Industry

In this episode of the Epigenetics Podcast, we talked with Will Wang from Sanford Burnham Prebys about his work on muscle stem cell repair, regeneration, and aging, exploring spatial-omics and machine learning. We begin our conversation by exploring the traditional concepts of spatial biology and how they have evolved to play a critical role in disease research. Dr. Wang recounts his journey from a young student in a family of academics to becoming a leading figure in regenerative biology, highlighting how his early interests in life sciences, natural problem-solving abilities, and inspirations from mentorship set the stage for his current research trajectory. Throughout the discussion, we uncover key insights on how muscle stem cells transition from a quiescent state to a proliferative state in response to injury and how this dynamic process is governed by the epigenetic landscape and various signalling pathways. Dr. Wang emphasises the impact of external factors—be it microenvironment conditions or metabolic cues—on the fate and function of these stem cells, reflecting on the methodologies used to investigate these processes throughout his career. He shares fascinating findings from his PhD work, where he explored the regulatory role of transcription factors like PAX-7 in muscle stem cell activation, and how subsequent research developed in his postdoc at Stanford further illuminated the relationship between metabolism and histone acetylation. This pivotal work not only demonstrated how metabolic states dictate epigenetic modifications but also offered potential therapeutic insights for muscle degeneration and repair. As we move into more recent projects, Dr. Wang discusses the advances in multiplexed spatial proteomics and the insights garnered from a single-cell spatiotemporal atlas of muscle regeneration, which highlight the cellular heterogeneity in muscle tissue. He describes the use of novel computational tools, including neural networks, to uncover the regulatory mechanisms underlying stem cell function, particularly how prostaglandin signalling informs the regeneration process and how age impacts stem cell efficacy. The episode then wraps up with an engaging dialogue about the future implications of Dr. Wang's work in addressing age-related muscle degradation and broader applications in regenerative medicine. References Yucel, N., Wang, Y. X., Mai, T., Porpiglia, E., Lund, P. J., Markov, G., Garcia, B. A., Bendall, S. C., Angelo, M., & Blau, H. M. (2019). Glucose Metabolism Drives Histone Acetylation Landscape Transitions that Dictate Muscle Stem Cell Function. Cell Reports, 27(13), 3939-3955.e6. https://doi.org/10.1016/j.celrep.2019.05.092 Wang, Y. X., Palla, A. R., Ho, A. T. V., Robinson, D. C. L., Ravichandran, M., Markov, G. J., Mai, T., Still, C., Balsubramani, A., Nair, S., Holbrook, C. A., Yang, A. V., Kraft, P. E., Su, S., Burns, D. M., Yucel, N. D., Qi, L. S., Kundaje, A., & Blau, H. M. (2025). Multiomic profiling reveals that prostaglandin E2 reverses aged muscle stem cell dysfunction, leading to increased regeneration and strength. Cell Stem Cell, 32(7), 1154-1169.e9. https://doi.org/10.1016/j.stem.2025.05.012 Related Episodes Stem Cell Transcriptional Regulation in Naive vs. Primed Pluripotency (Christa Buecker) The Effect of Mechanotransduction on Chromatin Structure and Transcription in Stem Cells (Sara Wickström) Epigenetic Regulation of Stem Cell Self-Renewal and Differentiation (Peggy Goodell) Contact Epigenetics Podcast on Mastodon Epigenetics Podcast on Bluesky Dr. Stefan Dillinger on LinkedIn Active Motif on LinkedIn Active Motif on Bluesky Email: podcast@activemotif.com

In this episode of the Epigenetics Podcast, we talked with Will Wang from Sanford Burnham Prebys about his work on muscle stem cell repair, regeneration, and aging, exploring spatial-omics and machine learning. We begin our conversation by exploring the traditional concepts of spatial biology and how they have evolved to play a critical role in disease research. Dr. Wang recounts his journey from a young student in a family of academics to becoming a leading figure in regenerative biology, highlighting how his early interests in life sciences, natural problem-solving abilities, and inspirations from mentorship set the stage for his current research trajectory. Throughout the discussion, we uncover key insights on how muscle stem cells transition from a quiescent state to a proliferative state in response to injury and how this dynamic process is governed by the epigenetic landscape and various signalling pathways. Dr. Wang emphasises the impact of external factors—be it microenvironment conditions or metabolic cues—on the fate and function of these stem cells, reflecting on the methodologies used to investigate these processes throughout his career. He shares fascinating findings from his PhD work, where he explored the regulatory role of transcription factors like PAC-7 in muscle stem cell activation, and how subsequent research developed in his postdoc at Stanford further illuminated the relationship between metabolism and histone acetylation. This pivotal work not only demonstrated how metabolic states dictate epigenetic modifications but also offered potential therapeutic insights for muscle degeneration and repair. As we move into more recent projects, Dr. Wang discusses the advances in multiplexed spatial proteomics and the insights garnered from a single-cell spatiotemporal atlas of muscle regeneration, which highlight the cellular heterogeneity in muscle tissue. He describes the use of novel computational tools, including neural networks, to uncover the regulatory mechanisms underlying stem cell function, particularly how prostaglandin signalling informs the regeneration process and how age impacts stem cell efficacy. The episode then wraps up with an engaging dialogue about the future implications of Dr. Wang's work in addressing age-related muscle degradation and broader applications in regenerative medicine. References Yucel, N., Wang, Y. X., Mai, T., Porpiglia, E., Lund, P. J., Markov, G., Garcia, B. A., Bendall, S. C., Angelo, M., & Blau, H. M. (2019). Glucose Metabolism Drives Histone Acetylation Landscape Transitions that Dictate Muscle Stem Cell Function. Cell Reports, 27(13), 3939-3955.e6. https://doi.org/10.1016/j.celrep.2019.05.092 Wang, Y. X., Palla, A. R., Ho, A. T. V., Robinson, D. C. L., Ravichandran, M., Markov, G. J., Mai, T., Still, C., Balsubramani, A., Nair, S., Holbrook, C. A., Yang, A. V., Kraft, P. E., Su, S., Burns, D. M., Yucel, N. D., Qi, L. S., Kundaje, A., & Blau, H. M. (2025). Multiomic profiling reveals that prostaglandin E2 reverses aged muscle stem cell dysfunction, leading to increased regeneration and strength. Cell Stem Cell, 32(7), 1154-1169.e9. https://doi.org/10.1016/j.stem.2025.05.012 Related Episodes Stem Cell Transcriptional Regulation in Naive vs. Primed Pluripotency (Christa Buecker) The Effect of Mechanotransduction on Chromatin Structure and Transcription in Stem Cells (Sara Wickström) Epigenetic Regulation of Stem Cell Self-Renewal and Differentiation (Peggy Goodell) Contact Epigenetics Podcast on Mastodon Epigenetics Podcast on Bluesky Dr. Stefan Dillinger on LinkedIn Active Motif on LinkedIn Active Motif on Bluesky Email: podcast@activemotif.com

New research is transforming the outlook for cervical and uterine cancers -- two of the most serious gynecologic malignancies worldwide – and we'll be hearing from one of the people shaping that progress, Dr. Mary McCormack, on this episode of Raise the Line. From her perch as the senior clinical oncologist for gynecological cancer at University College London Hospitals, Dr. McCormack has been a driving force in clinical research in the field, most notably as leader of the influential INTERLACE study, which changed global practice in the treatment of locally advanced cervical cancer, a key reason she was named to Time Magazine's 2025 list of the 100 most influential people in health. “In general, the protocol has been well received and it was adopted into the National Comprehensive Cancer Network guidelines which is a really big deal because lots of centers, particularly in South and Central America and Southeast Asia, follow the NCCN's lead.”In this conversation with host Michael Carrese, you'll learn about how Dr. McCormack overcame recruitment and funding challenges, the need for greater access to and affordability of treatments, and what lies ahead for women's cancer treatment worldwide. Mentioned in this episode:INTERLACE Cervical Cancer Trial If you like this podcast, please share it on your social channels. You can also subscribe to the series and check out all of our episodes at www.osmosis.org/podcast

Can AI really reorder how business works - not just automate tasks, but redefine entire markets? In this episode, Frazer Anderson sits down with two leading thinkers - Conor Twomey and Ray Wang. They discuss: How AI exponentials fundamentally rewrite productivity and what that means for founders, enterprises, and investors competing with legacy incumbents. The evolving state of enterprise AI adoption - from prototypes to production‑scale agent workflows that transform business outcomes and unit economics. Why scaling enterprise AI depends less on model quality and more on your data foundation, internal coordination, and ability to operationalize agents across real workflows. — Conor Twomey is an accomplished executive with over 15 years of experience in addressing complex data challenges for leading global corporations. He is currently an AI Co-Founder at Stealth Startup. Conor is the former Head of AI Strategy at KX, a pioneer in real-time data analytics and decision intelligence. Under his leadership, KX successfully transitioned from a time-series database company to the Enterprise AI platform of choice for large-scale AI implementations. Before this role, Conor managed a 400-person organization encompassing Presales, Professional Services, Support, Managed Services, and Customer Success Management. Renowned for his insights on data and AI, Conor is a sought-after speaker and contributor on frontier technology topics, including Data, Analytics, Machine Learning, AI, and Generative AI. — Ray Wang, a tech luminary, is the Co-Founder & Chairman of Constellation Research, a Bestselling Author, and a Keynote speaker. Renowned for his insights into digital transformation and enterprise technology, Ray's expertise stems from influential roles at Altimeter Research and Forrester Research. His bestselling books, including "Disrupting Digital Business" and "Everybody Wants to Rule the World," delve deep into the impact of digital technologies on business models.

Hunderte Moleküle, viele davon unbekannt: Ein Glas Wein ist ein gutes Beispiel dafür, wie groß die Lücken in unserem chemischen Wissen sind. Werden neue KI-Modelle das ändern? Hier entlang geht's zu den Links unserer Werbepartner: https://detektor.fm/werbepartner/spektrum-der-wissenschaft (00:00:51) Begrüßung Verena Tang (00:01:49) Welchen Wein habt ihr analysieren lassen? (00:02:18) Welche Rolle spielen die Molekühle? (00:04:30) Komplexität chemischer Gemische (00:06:19) Viele Molekühle auf der Erde noch unbekannt (00:08:43) Wie funktioniert die Analyse? (00:14:09) Wo gibt es noch Verbesserungspotential? (00:16:37) Das Projekt Dendral (00:18:03) KI und Machine Learning (00:22:57) Bleibt der Mensch da noch relevant? >> Artikel zum Nachlesen: https://detektor.fm/wissen/spektrum-podcast-wein-chemie-ki

The Impact of Gaze and Fatigue on Medical Decision-Making with Dr. Bulat IbragimovIn this episode of The Girl Doc Survival Guide, Christine interviews Dr. Bulat Ibragimov, an Associate Professor of Machine Learning and Medical Imaging at the University of Copenhagen. Dr. Ibragimov shares personal anecdotes and discusses his research on the role of artificial intelligence and eye tracking in medical decision-making. Key topics include the impact of gaze patterns and fatigue on diagnostic accuracy, the potential for AI to recognize when doctors may make errors, and how individualized gaze patterns can indicate the level of expertise and certainty in medical professionals. The conversation explores the implications of this research for improving the integration of AI in medical practices and enhancing training and decision-making processes for healthcare professionals.00:00 Introduction and Guest Introduction00:49 Personal Anecdote and Background01:46 Eye Tracking and Medical Decision Making03:18 Patterns in Gaze and Error Prediction11:00 Fatigue and Its Impact on Accuracy16:09 AI and Gaze Analysis in Medical Training20:07 Conclusion and Final Thoughts

Vandana Ramani on how UPS is leveraging AI to help SMEs This week on Catalyst Tammy sits down with Vandana Ramani, the Vice President of Global Strategy at UPS. Vandana loves to solve difficult, complex problems. From making sure a live iguana gets delivered to where it needs to be, to thinking about how UPS can leverage AI to improve their customer experience, Vandana is always working at the intersection of business strategy and technology. Tammy and Vandana discuss the integration of AI in small and medium sized businesses and how it can be transformative for data connectivity and developing shared outcomes. Vandana also shares networking tips she's developed from years spent rebuilding her networks from the ground up across the world. Please note that the views expressed may not necessarily be those of NTT DATALinks: Vandana Ramani LinkedInLearn more about Launch by NTT DATASee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Welcome to the 100th episode of The Association Podcast! We reflect on the evolution of topics and themes over the past five years, discuss our key takeaways, and acknowledge many of our influential guests. We cover themes like leadership and governance, digital strategy, data and analytics, culture, marketing and brand, community and engagement, education and learning, DEI, association strategy, and the impact of AI. You'll hear our personal anecdotes, audience insights, and future predictions.

In this episode of Talk Commerce, Tim Baynes, CEO and founder of Compatio, discusses the complexities of selling configurable products and the evolution of CPQ (Configure Price Quote) systems. He shares insights on how Compatio addresses the challenges of product compatibility and configuration, particularly in B2B markets. The conversation also explores the role of AI in modern configurators, the trends in digital transformation within B2B commerce, and the importance of guided selling in enhancing customer experience.Chapters00:00 Introduction to Compatio AI and Tim Baynes02:04 Tim's Journey and Background in CPQ Systems05:31 Understanding Complex Product Configuration10:28 The Evolution of CPQ Systems and Market Focus14:34 The Role of AI in Modern Configuration19:12 Guided Selling and Digital Transformation in B2B23:48 Closing Thoughts and Future of Compatio

Andrew Ng is one of the world's leading experts on AI, having co-founded DeepLearning.AI, serving as MGP of AI Fund, and as an adjunct professor at Harvard. In this special recap episode from the AWS Executive Summit, Ng sits down with Ishit Vachhrajani, AWS Global Head of Technology, AI, and Analytics for a unique 360-degree view of AI leadership challenges and opportunities organizations will face in 2026. Discover Ng's perspective on AI leadership as shaped by his practical startup experience, enterprise governance insights, and deep technical expertise, as well as his insights into how Amazon draws — and keeps — its leadership talent.

We are entering the year of Enterprise AI, and one of the imperatives we're introducing is the need to think about your AI Architecture. While much of our AI journey has been focused on individual productivity tools, now we have a much bigger opportunity: using AI to rethink how our HR, talent, leadership, and human capital processes are designed. As you'll hear our new Systemic HR® AI Blueprint defines a new set of “Superagents” that help us think through the new workflow automations we can deploy. In this podcast I explain the new AI architecture for HR at a high level and give you a sense of the explosive vendor market, the role of “citizen developers,” and the business case and process for prioritizing where to focus. All this information and much more is part of our 2026 Imperatives launch and will be embedded into Galileo, so get Galileo and ask Galileo to apply these architectural issues to your HR department. Not only do we have massive opportunities to build a more integrated HR department, these new AI architectures enable our companies to scale, grow, and add customer value faster and more profitably than ever. Join me in my 2026 Imperatives webinar on January 21 for more details. Like this podcast? Rate us on Spotify or Apple or YouTube. Additional Information Yes, AI Is Really Impacting The Job Market. Here's What To Do. Imperatives for 2026: What's Ahead for Enterprise AI, HR, Jobs, And Organizations The Collapse And Rebirth Of Online Learning And Professional Development Get Galileo: The World's AI Agent For Everything HR and Leadership Chapters (00:00:00) - Machine Learning in HR: The Future of AI(00:11:51) - AI HR: The New Business Model

THE AI WINTER Colleague Gary Rivlin. The history of Frank Rosenblatt's neural networks, their dismissal by Marvin Minsky in favor of rules-based computing, and the decades-long "winter" before the resurgence of machine learning. NUMBER 11

In this start-of-year FC episode, Chris and Daniel break down what really mattered in AI in 2025, and what to expect in 2026. They explore the rise of AI agents, the practical reality of multimodal AI, and how reasoning models are reshaping workflows. The conversation dives into infrastructure and energy constraints, the continued value of predictive models, and why orchestration (not just better models) is becoming the defining skill for AI teams. The episode wraps with grounded 2026 predictions on where AI systems, tooling, and builders are headed next.Featuring:Chris Benson – Website, LinkedIn, Bluesky, GitHub, XDaniel Whitenack – Website, GitHub, XSponsor:Framer - The enterprise-grade website builder that lets your team ship faster. Get 30% off at framer.com/practicalaiUpcoming Events: Register for upcoming webinars here!

Today we're breaking down Databricks, a $130B private company that helps companies collect, store, and process very large amounts of data, and then use that data to run analytics and train machine learning models. Databricks sits in the middle of modern data systems, connecting raw data pipelines to the tools teams use to analyze information and build AI. If you've worked on large-scale data or AI projects, there's a good chance Databricks was part of the stack, often operating behind the scenes. My guest is Alan Tu, portfolio manager and analyst at WCM Investment Management, which invested in Databricks in late 2024. Alan explains what Databricks actually does for customers, why it remains one of the least understood large private software companies, and how its academic origins and founding team shaped its evolution from an early data-engineering product into a broad commercial platform. We also discuss common misconceptions about the business, how Databricks fits into the modern AI stack, what has changed since the last time we covered the company, and how its scale, product strategy, and capital position differentiate it from competitors. Note: This conversation was recorded on December 10, 2025, so all numbers are reflective of what was publicly available on that date. Please enjoy this breakdown of Databricks. For the full show notes, transcript, and links to the best content to learn more, check out the episode page⁠⁠⁠⁠⁠⁠⁠ here.⁠⁠⁠⁠⁠⁠⁠ —- This episode is brought to you by⁠⁠⁠⁠ ⁠Portrait Analytics⁠⁠⁠⁠⁠ - your centralized resource for AI-powered idea generation, thesis monitoring, and personalized report building. Built by buy-side investors, for investment professionals. We work in the background, helping surface stock ideas and thesis signposts to help you monetize every insight. In short, we help you understand the story behind the stock chart, and get to "go, or no-go" 10x faster than before. Sign-up for a free trial today at⁠⁠⁠⁠ ⁠portraitresearch.com⁠⁠⁠⁠⁠ — Business Breakdowns is a property of Colossus, LLC. For more episodes of Business Breakdowns, visit⁠⁠⁠⁠⁠⁠⁠ joincolossus.com/episodes⁠⁠⁠⁠⁠⁠⁠. Editing and post-production work for this episode was provided by The Podcast Consultant (⁠⁠⁠⁠⁠⁠⁠https://thepodcastconsultant.com⁠⁠⁠⁠⁠⁠⁠). Timestamps  (00:00:00) Welcome to Business Breakdowns (00:02:34) Introducing Databricks and Guest Alan Tu (00:03:22) Understanding Databricks' Core Functionality (00:09:15) The Founding Story of Databricks (00:23:54) Databricks' Evolution and Product Expansion (00:30:06) Databricks vs. Snowflake: Market Competition (00:35:36) Databricks' Strategic Vision and Market Impact (00:38:14) The Rise of Big Data and Databricks' Core Value (00:39:27) Understanding Databricks Through a Credit Card Fraud Use Case (00:44:35) Databricks' Role in AI and Machine Learning (00:51:12) The Competitive Landscape and Cloud Partnerships (00:54:54) Financial Dynamics and Pricing Strategies (01:09:37) The Future of Databricks: Risks and Long-Term Vision (01:12:54) Conclusion and Final Thoughts

“The world is a very volatile place, with currently 110 conflicts globally, and yet healthcare staff in the hospitals, even here in London, are not prepared to be the only clinician who can help in a crisis or hostile setting,” says Dr. David Gough, CEO of the David Nott Foundation, which equips providers with the skills and confidence needed to function in war and other extraordinary situations. A former British Army doctor injured in Afghanistan, Gough brings lived experience as well as a background in tech to his current role at the Foundation, which itself is anchored in decades of field work amassed by its namesake, a renowned war surgeon. As Dr. Gough points out to host Lindsey Smith, the cause could be helped by augmenting medical school curricula, but in the meantime, the Foundation is filling the knowledge gap by using prosthetics, virtual reality simulations and cadavers to train a broad swath of health workers including surgeons, anesthetists, and obstetricians. Tune in to this important Raise the Line conversation as Dr. Gough reflects on the strengths and weaknesses of NGOs in doing this work, his plans to expand the Foundation's footprint in the US, and the gratifying feedback he's received from trainees now operating on the frontlines in Ukraine and elsewhere. Mentioned in this episode:David Nott Foundation If you like this podcast, please share it on your social channels. You can also subscribe to the series and check out all of our episodes at www.osmosis.org/podcast

Marina Wyss, Senior Applied Scientist at Twitch, joins Kyler and Ned to discuss her unique path from political science to AI Engineering. Wyss clarifies the difference between AI Engineering and Machine Learning Engineering and offers practical advice for aspiring engineers who want to incorporate data science, AI, and machine learning into their work. She digs... Read more »

Marina Wyss, Senior Applied Scientist at Twitch, joins Kyler and Ned to discuss her unique path from political science to AI Engineering. Wyss clarifies the difference between AI Engineering and Machine Learning Engineering and offers practical advice for aspiring engineers who want to incorporate data science, AI, and machine learning into their work. She digs... Read more »

Marina Wyss, Senior Applied Scientist at Twitch, joins Kyler and Ned to discuss her unique path from political science to AI Engineering. Wyss clarifies the difference between AI Engineering and Machine Learning Engineering and offers practical advice for aspiring engineers who want to incorporate data science, AI, and machine learning into their work. She digs... Read more »

This week on Catalyst Tammy chats with Parisa Zander, a seasoned professional in the tech industry who recently retired after a successful career spanning nearly three decades at companies like Meta, Samsung and Microsoft. Parisa discusses the challenges of being a woman in tech, the importance of finding one's voice, and the values that guide her leadership style, including honesty, empathy, and the need for fun in the workplace. She also emphasizes that to truly understand your customer you need to go to them and set time aside for real-world testing. How else will you see how people across the country are actually engaging with your product? Please note that the views expressed may not necessarily be those of NTT DATALinks: Parisa Zander - LinkedIn Learn more about Launch by NTT DATASee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In this special encore episode from AWS re:Invent, AWS CEO Matt Garman joins Acquired podcast co-hosts Ben Gilbert and David Rosenthal for an in-depth conversation on AI, agents, and the future of business. Listen in as Garman shares his leadership journey from AWS intern to CEO, discusses why inference is becoming a fundamental building block for developers, and reveals how AI is enabling smaller teams to deliver exponentially more value. He also explores the organizational shifts enterprises must make to stay competitive, the evolution of agentic AI, and why agility and speed remain critical regardless of technological change.To catch the full interview session featuring additional speakers, Max Neukirchen (J.P. Morgan Payments), Greg Peters (Netflix), and Aravind Srivinas (Perplexity), click here to watch on YouTube -> https://www.youtube.com/watch?v=2ExjNvGYDiU.

Zahack Tanvir is a Hyderabad-born independent journalist, counter-extremism expert, and the founder and editor of the UK-based media outlet Milli Chronicle. He specializes in international affairs and counter-terrorism, having completed academic programs in these fields at the University of Leiden in the Netherlands and the London School of Journalism.His educational background is diverse, also comprising an engineering degree in Computer Science from Osmania University, a post-graduate diploma in AI and Machine Learning from IIIT India, and a Master's in AI-ML from Liverpool John Moores University.Tanvir identifies as a traditional Muslim who is vocally "anti-Islamist," often criticizing extremist ideologies and the political misuse of religion. He lived in Saudi Arabia for 13 years until a significant legal ordeal in late 2023, when he was detained by Saudi authorities following a complaint filed by Pakistan regarding his social media content, which was alleged to be anti-Pakistan. He was released in December 2024.

In this episode, I talked to Dr. Alex Zhavoronkov, CEO of Insilico Medicine, about using AI to generate small molecules for future drugs/therapies, pharma superintelligence, automation of drug discovery, China potentially beating US in biotech innovation, aging, and other funny things, like his head transplant video. ---------------------------------------------------------------Thanks to the sponsors:Audible: Use my link for a 30-day free trial: http://audibletrial.com/diamondgoatNewsly: https://newsly.mepromo code to receive a 1-month free premium subscription: EARLYMORNING Libysn: https://libsyn.compromo code: DG Dubby Energy: https://www.dubby.ggpromo code for 10% off: DIAMONDGOATOpus Clips:  https://www.opus.pro/?via=diamondgoat----------------------------------------------------------------------------------Listen on:Podcast website: https://www.spreaker.com/podcast/dg-early-morning-show--5943922Spotify: https://open.spotify.com/show/0EuhA6WyuerHtVAqcFrFeOPodcast YT channel clips: https://www.youtube.com/@dgearlymorningshowTiktok: @dgearlymorningshowApple Podcast: https://podcasts.apple.com/us/podcast/dg-early-morning-show/id1575451533Amazon Music: https://music.amazon.com/podcasts/f050b86c-1dad-4bc3-b12f-6aa5fa62438c  Goodpods: https://goodpods.com/podcasts/dg-early-morning-show-211830RadioPublic: https://radiopublic.com/dg-earlymorning-show-WoML4rBreaker: https://www.breaker.audio/dg-early-morning-showReason: https://reason.fm/podcast/dg-earlymorning-show--------------------------------------Check out my other stuff:Instagram: @itzdiamondgoatTwitter: @lildiamondgoatMain YT channel: youtube.com/diamondgoatTiktok: @lildiamondgoatSoundcloud: @Lil DiamondgoatSpotify: @Lil DiamondgoatMerch store: https://diamondgoat.creator-spring.comBecome a supporter of this podcast: https://www.spreaker.com/podcast/dg-early-morning-show--5943922/support.

In this episode of The Effortless Podcast, Amit Prakash and Dheeraj Pandey are joined by Alex Dimakis for a wide-ranging, systems-first discussion on the future of long-horizon AI agents that can operate over time, learn from feedback, adapt to users, and function reliably inside real-world environments.The conversation spans research and industry, unpacking why prompt engineering alone collapses at scale; how advisor models, reward-driven learning, and environment-based evaluation enable continual improvement without retraining frontier models; and why memory in AI systems is as much about forgetting as it is about recall. Drawing from distributed systems, reinforcement learning, and cognitive science, the trio explores how personalization, benchmarks, and context engineering are becoming the foundation of AI-native software.Alex, Dheeraj, and Amit also examine the evolution from SFT to RL to JEPA-style world models, the role of harnesses and benchmarks in measuring real progress, and why enterprise AI has moved decisively from research into engineering. The result is a candid, deeply technical conversation about what it will actually take to move beyond demos and build agents that work over long horizons.Key Topics & Timestamps 00:00 – Introduction, context, and holiday catch-up04:00 – Teaching in the age of AI and why cognitive “exercise” still matters08:00 – Industry sentiment: fear, trust, and skepticism around LLMs12:00  – Memory in AI systems: documents, transcripts, and limits of recall17:00  – Why forgetting is a feature, not a bug22:00 – Advisor models and dynamic prompt augmentation27:00 – Data vs metadata: control planes vs data planes in AI systems32:00 – Personalization, rewards, and learning user preferences implicitly37:00 – Why prompt-only workflows break down at scale41:00 – RAG, advice, and moving beyond retrieval-centric systems46:00 – Long-horizon agents and the limits of reflection-based prompting51:00 – Environments, rewards, and agent-centric evaluation56:00 – From Q&A benchmarks to agents that act in the world1:01:00 – Terminal Bench, harnesses, and measuring real agent progress1:06:00 – Frontier labs, open source, and the pace of change1:11:00 – Context engineering as infrastructure (“the train tracks” analogy)1:16:00 – Organizing agents: permissions, visibility, and enterprise structure1:20:00 – SFT vs RL: imitation first, reinforcement last1:25:00 – Anti-fragility, trial-and-error, and unsolved problems in continual learning1:28:00 – Closing reflections on the future of long-horizon AI agentsHosts:Amit PrakashCEO & Founder at AmpUp, Former engineer at Google AdSense and Microsoft Bing, with deep expertise in distributed systems, data platforms, and machine learning.Dheeraj PandeyCo-founder & CEO at DevRev, Former Co-founder & CEO of Nutanix. A systems thinker and product visionary focused on AI, software architecture, and the future of work.Guest:Alex DimakisAlex Dimakis is a Professor in UC Berkeley in the EECS department. He received his Ph.D. from UC Berkeley and the Diploma degree from NTU in Athens, Greece. He has published more than 150 papers and received several awards including the James Massey Award, NSF Career, a Google research award, the UC Berkeley Eli Jury dissertation award, and several best paper awards. He is an IEEE Fellow for contributions to distributed coding and learning. His research interests include Generative AI, Information Theory and Machine Learning. He co-founded Bespoke Labs, a startup focusing on data curation for specialized agents.Follow the Hosts and the Guest: Dheeraj Pandey:LinkedIn - https://www.linkedin.com/in/dpandeyTwitter - https://x.com/dheerajAmit Prakash:LinkedIn - https://www.linkedin.com/in/amit-prak...Twitter - https://x.com/amitp42Alex Dimakis:LinkedIn - https://www.linkedin.com/in/alex-dima...Twitter - https://x.com/AlexGDimakis           Share Your Thoughts                                                                                          Have questions, comments, or ideas for future episodes?

The Marine Corps is gearing up to expand its first-person view drone capabilities in the New Year by purchasing 10,000 new platforms and increasing the number of troops who are trained on them, according to government contracting documents and service officials. Earlier this week, the Corps announced a standardized training program for small-sized unmanned aerial systems, which include several courses for attack drone operators, payload specialists and instructors. Several units, from III Marine Expeditionary Force in the Pacific to Marine Forces Special Operations Command are now authorized to immediately start these courses. Meanwhile, the service is also asking industry to make thousands of UAS for under $4,000 per unit, according to a request for information posted in December. The intent is for Marines to be able to modify these drones with “simple” third-party munitions and repair them on their own. The RFI also inquired about autonomy and machine learning integration for these systems. Over the next several months, the service will aim to certify hundreds of Marines to use FPV drones, according to the Pentagon, with the goal of having every infantry, reconnaissance and littoral combat team across the fleet equipped with these platforms by May. Officials said that these courses were shaped by recent certifications and the Drone Training Symposium in November, an event intended to solidify and scale training across the fleet. DefenseScoop also reported last week that the Marine Corps had certified forward-deployed Marines on FPV drones for the first time in November. More than two dozen troops with the 22nd Marine Expeditionary Unit deployed to the Caribbean trained for more than a month-and-a-half to qualify on various FPV drone capabilities, a significant milestone for the force after a year of navigating untrodden ground. The Army recently established an artificial intelligence career field that select officers can transfer into starting next month, DefenseScoop has learned. It is also considering the potential for warrant officers to join the new role. The service created the 49B “area of concentration” for AI and Machine Learning on Oct. 31, according to Maj. Travis Shaw, a spokesperson for the Army. Between Jan. 5 and Feb. 6, 2026. Army officers who already have a few years of service or more can apply for the role through the Voluntary Transfer Incentive Program (VTIP), which is meant to support the Army's manning needs. It was unclear how many officers the Army hopes to transfer into the job, but those selected will reclassify by Oct. 1, 2026, Shaw said. The service expects those personnel to have completed their transition into the AI field by the following year. The effort comes as the Department of Defense continues to boost the use of large language model AI systems for military purposes. Earlier this month, the Pentagon launched GenAI.mil, a hub for commercial AI tools — one that DefenseScoop reported military personnel were meeting with mixed reviews and a bevy of questions about how to use it in their daily operations. The Army has also been embracing LLMs and AI, including through its Army Artificial Integration Center (AI2C), which was established in 2018 to integrate those systems into the service. The Daily Scoop Podcast is available every Monday-Friday afternoon. If you want to hear more of the latest from Washington, subscribe to The Daily Scoop Podcast  on Apple Podcasts, Soundcloud, Spotify and YouTube.

In this episode, Cory Connors welcomes his longtime friend and sustainability leader Robert Little to discuss Google's sustainability mission—particularly its global work in circularity, recycling accessibility, packaging innovation, and the role of AI in modern waste systems. Robert shares his nonlinear career path, the principles that shaped his sustainability mindset, and how Google is leveraging its massive product ecosystem to scale sustainability solutions for billions of users worldwide.The conversation explores Google Maps' recycling drop‑off locator, Google Trends as a tool for understanding consumer sustainability needs, Google's plastic‑free packaging design journey, and innovations like CircularNet and Materra, X's emerging AI‑powered materials identification technology.Key Topics Discussed:Robert's Journey Into SustainabilityRobert's Role at GoogleGoogle's Sustainability Mission & Circularity GoalsPackaging Innovation at GoogleGoogle Maps Recycling Drop‑Off SearchAI & Machine Learning for Waste SystemsMaterra (formerly “Project X”): Advanced Material IdentificationAdvice for Consumer BrandsA Call for Optimism & Sharing Good Sustainability StoriesResources Mentioned:Google Trends – trends.google.comGoogle Maps Recycling AttributesGoogle's Plastic‑Free Packaging Design GuideCircularNet (open‑source machine learning model)Materra by X (The Moonshot Factory)Contact:Connect with Robert Little on LinkedIn.Closing Thoughts:Cory and Robert emphasize the need for optimism, collaboration, and smarter infrastructure in global sustainability. Robert highlights the immense potential for AI, transparency, and ecosystem‑level innovation to keep materials “in play” and reduce reliance on new resource extraction.They encourage listeners to stay curious, share good sustainability news, and use the tools available—many of them free—to design better packaging systems and reduce waste globally.Thank you for tuning in to Sustainable Packaging with Cory Connors!https://anewearthproject.com/collections/new-earth-approvedhttps://www.linkedin.com/in/cory-connors/I'm here to help you make your packaging more sustainable! Reach out today and I'll get back to you asap. This podcast is an independent production and the podcast production is an original work of the author. All rights of ownership and reproduction are retained—copyright 2022.

Joseph Modayil is the Founder, President & Research Director of Openmind Research Institute.Featured References  Openmind Research Institute  The Alberta Plan for AI Research  Richard S. Sutton, Michael Bowling, Patrick M. Pilarski  Additional References  Joseph Modayil on Google Scholar  Joseph Modayil Homepage  

In this episode from the archives Tammy sits down with Keena Patel-Moran, the Healthcare and Lifesciences Industry Lead at Launch by NTT DATA. Keena and Tammy discuss ways to improve the industry and give patients the support they need and deserve. They discuss why doctors should look beyond just symptoms and make a case that improving healthcare processes is not only better for patients and care-takers but is also good for business. Please note that the views expressed may not necessarily be those of NTT DATALinks: Keena Patel-MoranLearn more about Launch by NTT DATASee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In this Brand Highlight, we talk with Michael Roytman, CTO of Empirical Security, about a problem many security teams quietly struggle with: using general purpose AI tools for decisions that demand precision, forecasting, and accountability.Michael explains why large language models are often misapplied in security programs. LLMs excel at summarization, classification, and pattern extraction, but they are not designed to predict future outcomes like exploitation likelihood or operational risk. Treating them as universal problem solvers creates confidence gaps, not clarity.At Empirical, the focus is on preventative security through purpose built modeling. That means probabilistic forecasting, enterprise specific risk models, and continuous retraining using real telemetry from security operations. Instead of relying on a single model or generic scoring system, Empirical applies ensembles of models tuned to specific tasks, from vulnerability exploitation probability to identifying malicious code patterns.Michael also highlights why retraining matters as much as training. Threat conditions, environments, and attacker behavior change constantly. Models that are not continuously updated lose relevance quickly. Building that feedback loop across hundreds of customers is as much an engineering and operations challenge as it is a data science one.The conversation reinforces a simple but often ignored idea: better security outcomes come from using the right tools for the right questions, not from chasing whatever AI technique happens to be popular. This episode offers a grounded perspective for leaders trying to separate signal from noise in AI driven security decision making.Note: This story contains promotional content. Learn more.GUESTMichael Roytman, CTO of Empirical Security | On LinkedIn: https://www.linkedin.com/in/michael-roytman/RESOURCESLearn more about Empirical Security: https://www.empiricalsecurity.com/LinkedIn Post: https://www.linkedin.com/posts/bellis_a-lot-of-people-are-talking-about-generative-activity-7394418706388402178-uZjB/Are you interested in telling your story?▶︎ Full Length Brand Story: https://www.studioc60.com/content-creation#full▶︎ Brand Spotlight Story: https://www.studioc60.com/content-creation#spotlight▶︎ Brand Highlight Story: https://www.studioc60.com/content-creation#highlightKeywords: sean martin, michael roytman, ed beis, empirical security, cybersecurity, ai, machinelearning, vulnerability, risk, forecasting, brand story, brand marketing, marketing podcast, brand story podcast, brand spotlight Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Explore how AI is transforming consumer goods execution with Arvind Mathur, AWS Executive in Residence, and Anupam Sinha, CEO and Co-founder of Vxceed. Anupam reveals how Consumer Packed Goods (CPG) companies are leveraging predictive AI, generative AI, and agentic AI to close the execution reality gap that has plagued traditional trade for decades—turning delayed insights into real-time market responsiveness. From preventing stock-outs to achieving autonomous trade promotion optimization, discover how forward-thinking leaders are protecting market share against digital-first insurgent brands penetrating traditional retail channels. Learn why your field execution strategy—powered by AI that delivers actionable intelligence—has become your most critical competitive advantage in markets where traditional trade still drives 95% of volume.

In this episode of the Heart podcast, Digital Media Editor, Professor James Rudd, is joined by Professor Michelle Williams from the University of Edinburgh. They discuss the possibility of predicting cardiovascular disease on CT from clinical factors in the SCOT-HEART trial. If you enjoy the show, please leave us a positive review wherever you get your podcasts. It helps us to reach more people - thanks! Link to published paper: https://openheart.bmj.com/content/12/2/e003162 https://www.nejm.org/doi/full/10.1056/NEJMoa1805971

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This week on Catalyst, Tammy recaps her favourite moments from the past year. She recaps the key themes that came up time and time again across conversations with almost 50 leaders across various industries - the human side of AI, authentic leadership, designing with people not for people, reinventing work and technology as possibility. There was much discussed this year and there's a lot more to come in the new year! Please note that the views expressed may not necessarily be those of NTT DATALinks: State of AI in Business Learn more about Launch by NTT DATASee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

AI pioneer YOSHUA BENGIO, Godfather of AI, reveals the DANGERS of Agentic AI, killer robots, and cyber crime, and how we MUST build AI that won't harm people…before it's too late.  Professor Yoshua Bengio is a Computer Science Professor at the Université de Montréal and one of the 3 original Godfathers of AI. He is the most-cited scientist in the world on Google Scholar, a Turing Award winner, and the founder of LawZero, a non-profit organisation focused on building safe and human-aligned AI systems.  He explains: ◼️Why agentic AI could develop goals we can't control ◼️How killer robots and autonomous weapons become inevitable ◼️The hidden cyber crime and deepfake threat already unfolding ◼️Why AI regulation is weaker than food safety laws ◼️How losing control of AI could threaten human survival [00:00] Why Have You Decided to Step Into the Public Eye?   [02:53] Did You Bring Dangerous Technology Into the World?   [05:23] Probabilities of Risk   [08:18] Are We Underestimating the Potential of AI?   [10:29] How Can the Average Person Understand What You're Talking About?   [13:40] Will These Systems Get Safer as They Become More Advanced?   [20:33] Why Are Tech CEOs Building Dangerous AI?   [22:47] AI Companies Are Getting Out of Control   [24:06] Attempts to Pause Advancements in AI   [27:17] Power Now Sits With AI CEOs   [35:10] Jobs Are Already Being Replaced at an Alarming Rate   [37:27] National Security Risks of AI   [43:04] Artificial General Intelligence (AGI)   [44:44] Ads   [48:34] The Risk You're Most Concerned About   [49:40] Would You Stop AI Advancements if You Could?   [54:46] Are You Hopeful?   [55:45] How Do We Bridge the Gap to the Everyday Person?   [56:55] Love for My Children Is Why I'm Raising the Alarm   [01:00:43] AI Therapy   [01:02:43] What Would You Say to the Top AI CEOs?   [01:07:31] What Do You Think About Sam Altman?   [01:09:37] Can Insurance Companies Save Us From AI?   [01:12:38] Ads   [01:16:19] What Can the Everyday Person Do About This?   [01:18:24] What Citizens Should Do to Prevent an AI Disaster   [01:20:56] Closing Statement   [01:22:51] I Have No Incentives   [01:24:32] Do You Have Any Regrets?   [01:27:32] Have You Received Pushback for Speaking Out Against AI?   [01:28:02] What Should People Do in the Future for Work?   Follow Yoshua: LawZero - https://bit.ly/44n1sDG  Mila - https://bit.ly/4q6SJ0R  Website - https://bit.ly/4q4RqiL  You can purchase Yoshua's book, ‘Deep Learning (Adaptive Computation and Machine Learning series)', here: https://amzn.to/48QTrZ8  The Diary Of A CEO: ◼️Join DOAC circle here - https://doaccircle.com/  ◼️Buy The Diary Of A CEO book here - https://smarturl.it/DOACbook  ◼️The 1% Diary is back - limited time only - https://bit.ly/3YFbJbt  ◼️The Diary Of A CEO Conversation Cards (Second Edition) - https://g2ul0.app.link/f31dsUttKKb  ◼️Get email updates - https://bit.ly/diary-of-a-ceo-yt  ◼️Follow Steven - https://g2ul0.app.link/gnGqL4IsKKb  Sponsors:  Wispr - Get 14 days of Wispr Flow for free at https://wisprflow.ai/DOAC  Pipedrive - https://pipedrive.com/CEO Rubrik - To learn more, head to https://rubrik.com

AI models feel smarter than their real-world impact. They ace benchmarks, yet still struggle with reliability, strange bugs, and shallow generalization. Why is there such a gap between what they can do on paper and in practiceIn this episode from The Dwarkesh Podcast, Dwarkesh talks with Ilya Sutskever, cofounder of SSI and former OpenAI chief scientist, about what is actually blocking progress toward AGI. They explore why RL and pretraining scale so differently, why models outperform on evals but underperform in real use, and why human style generalization remains far ahead.Ilya also discusses value functions, emotions as a built-in reward system, the limits of pretraining, continual learning, superintelligence, and what an AI driven economy could look like. Resources:Transcript: https://www.dwarkesh.com/p/ilya-sutsk...Apple Podcasts: https://podcasts.apple.com/us/podcast...Spotify: https://open.spotify.com/episode/7naO... Stay Updated:If you enjoyed this episode, be sure to like, subscribe, and share with your friends!Find a16z on X: https://x.com/a16zFind a16z on LinkedIn: https://www.linkedin.com/company/a16zListen to the a16z Podcast on Spotify: https://open.spotify.com/show/5bC65RDvs3oxnLyqqvkUYXListen to the a16z Podcast on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711Follow our host: https://x.com/eriktorenbergPlease note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures](http://a16z.com/disclosures.  Stay Updated:Find a16z on XFind a16z on LinkedInListen to the a16z Show on SpotifyListen to the a16z Show on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

On this eye-opening episode, Mike welcomes filmmaker and television veteran Del Bigtree of The HighWire to discuss his newest documentary, An Inconvenient Study—a film that investigates what happened to the most thorough childhood vaccinated vs. unvaccinated study ever done. They discuss how Del convinced a doctor at one of the most prestigious health institutes in the nation to conduct the study, the shocking findings, and why the study has never seen the light of day… until now. Tip o' the hat to our excellent sponsors AuraFrames.com/Mike Use code MIKE to get $55 off their limited-edition Stone Collection frame. PureTalk.com/Rowe Get unlimited talk, text and data for $29.95 p/month for LIFE. GoodRanchers.com Use code MIKE to get $40 off plus free meat for life with new subscription. NetSuite.com/Mike Download the CFO's Guide to AI and Machine Learning