Podcasts about Machine learning

This week on Catalyst, Tammy is joined by Carolyn Lee, President of The Manufacturing Institute, the workforce development and education affiliate of the National Association of Manufacturers. Carolyn grew up in a manufacturing family on Long Island and spent years on Capitol Hill before taking the helm of the MI in 2017. Tammy and Carolyn dig into the widening gap between AI adoption at the executive level and awareness on the shop floor, and why closing it is the defining challenge for American manufacturing right now. They also unpack the fear factor driving resistance to change and Carolyn announces the forthcoming AI for Manufacturing 101 curriculum to help manufacturers who are at risk of falling behind. Please note that the views expressed may not necessarily be those of NTT DATALinks:Carolyn LeeThe Manufacturing Institute - AI Skills Training 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.

Episode 304 reunites The Analysts — Remarkable Retail's celebrated panel of Forrester's Sucharita Kodali, Guggenheim's Simeon Siegel, and GlobalData's Neil Saunders — to take stock of retail coming out of earnings season. Steve Dennis and Michael LeBlanc open on the paradox of 2026: results are largely strong, sentiment is dismal. Simeon argues the link between the two is "tenuous at best" — people talk one way and spend another. Neil has the data: roughly 60% of shoppers who expect the economy to worsen still spent more than a year ago, propped up by spring tax refunds that won't repeat. Then the K-shaped economy. Higher-income households drive most of the real volume growth; middle-income shoppers prop up value growth mainly because prices are higher. Sucharita revisits "peak ambiguity" and the "vibe session," noting record sales barely outrun stubborn inflation. The panel unpacks the standouts — Ross's 17% comp, Victoria's Secret up 15% — and debates GLP-1's role in surging apparel and beauty: wardrobe replacement, new confidence, trading up to statement pieces. On turnarounds, Simeon lands the episode's sharpest thesis: brands "ubiquitize" and peak around $3–4 billion in the US. Lululemon got too big, over-distributed, and over-earning — so the bad sales have to "walk out the door" before the brand can re-elevate, the same lens that frames Nike's long reset. He and Sucharita draw the Gap parallel ahead of Simeon's on-stage interview with Mickey Drexler, noting Old Navy now dwarfs Gap itself. Neil makes the case for Macy's under Tony Spring — basics fixed first, satisfaction and visitation improving — while Steve stays skeptical of the pace. Next, the DTC reckoning. Simeon reframes his old "DTC is not all it's cracked up to be" call as "anti-anti-wholesale": outside high-margin luxury, nearly every brand needs a healthy wholesale business — and stores remain the best channel because "the customer is your employee." Sucharita pushes back on the AI narrative, reminding everyone it's far more than generative hype, as the panel digs into why scaled players — Amazon, Walmart, Costco, off-price — keep compounding through retail media, marketplaces, and flywheel economics. It closes on the wealth effect, trillion-dollar market caps, and whether a market correction could rattle high-end spending — then rapid-fire hot takes: brands to watch (Cozey, Ross Stores, Goyard) and what's on each analyst's radar, from inflation and surging oil prices to a quiet "middle of the doughnut" news lull and an election year's hunt for stability. Join us at the CommerceNext Growth Show in New York June 23rd and 24th with this exclusive discount code for 10% off general admission tickets and FREE retail tickets: Your code is "REMARKABLE" . See you in the Big Apple! About UsSteve Dennis is a strategic advisor and keynote speaker focused on growth and innovation, who has also been named one of the world's top retail influencers. He is the bestselling author of two books: Leaders Leap: Transforming Your Company at the Speed of Disruption and Remarkable Retail: How To Win & Keep Customers in the Age of Disruption. Steve regularly shares his insights in his role as a Forbes senior retail contributor and on social media.Michael LeBlanc is a senior retail advisor, keynote speaker and media entrepreneur. Michael has delivered keynotes, hosted fire-side discussions hosted senior retail executive on-stage in 1:1 interviews worldwide. Michael produces and hosts a network of leading retail trade podcasts, including The Remarkable Retail Podcast, The Voice of Retail The Food Professor, The FEED powered by Loblaw and the Global eCommerce Leaders podcast. He has been recognized by the NRF as a global Top Retail Voice for 2025 and 2025 and continues to be a ReThink Retail Top Retail Expert for the fifth year in a row.

Send us Fan MailAI, will it bring about the apocalypse, or just change the world?AI is making headlines daily. It is changing how we create online content, make web pages, buy products, receive medical care, invest in the stock market, etc. Will this tech bring about the end of the world if left unchecked? Will it just make early adopters wealthy? Forrest and Patrick dive into this cutting-edge topic, discuss how they are using it, how they have tested it, and their predictions about the future.GarvinAcademy.com Join PrepperNet.Net - https://www.preppernet.netPrepperNet is an organization of like-minded individuals who believe in personal responsibility, individual freedoms and preparing for disasters of all origins.PrepperNet Support the showPlease give us 5 Stars! www.preppingacademy.com Daily deals for preppers, survivalists, off-gridders, homesteaders  https://prepperfinds.com www.preppernet.com

In this episode of the Crazy Wisdom Podcast, host Stewart Alsop sits down with Larry Swanson, creator of the Knowledge Graph Insights Podcast, for their second conversation together. The two cover a wide range of interconnected topics, starting with a correction Larry makes about the true origin of the term "artificial intelligence," tracing it back to the 1956 Dartmouth Conference and its distinction from Norbert Wiener's cybernetics. From there, the conversation moves through the history and structure of knowledge graphs, ontologies, RDF (Resource Description Framework), and the W3C standards process, touching on concepts like the T-box, A-box, and C-box, as well as the 25th anniversary of the Semantic Web paper. Stewart and Larry also dig into the limitations of large language models — particularly around reasoning, confabulation, and what Larry describes as "cognitive surrender" — and why symbolic AI and knowledge engineering may hold answers that the neural network world hasn't fully embraced. The episode also ventures into consciousness, panpsychism, Michael Pollan's ideas, and Stewart's own hands-on experience vibe coding a personal chatbot to replace functionality he feels he's lost with recent changes to Claude. Larry's podcast can be found at kgi.fm.Timestamps00:00 - Stewart introduces Larry Swanson; Larry corrects the record on AI's origin, distinguishing it from Norbert Wiener's cybernetics at the 1956 Dartmouth conference.05:00 - Larry discusses interviewing semantic web paper coauthors on its 25th anniversary; RDF's hidden ubiquity compared to SIM cards powering everything invisibly.10:00 - Knowledge graphs explained through t-box terms, a-box assertions, and Dave McComb's c-box; IKEA's three-layer knowledge graph as a practical example.15:00 - Stewart connects metadata complexity to AI needs; faceted search explained as c-box attributes driving product filtering experiences.20:00 - RDF 1.2 reification standards discussed; W3C's rigorous recommendation process powering governments and enterprises worldwide through collaborative standards.25:00 - Cyc project examined as influential "successful failure"; Pat Hayes bringing description logic into semantic web; LLMs lacking true reasoning capability.30:00 - Epistemological fault lines between human and computer intelligence; cognitive surrender paper reveals no intelligence threshold protects against AI manipulation.35:00 - Stewart's Claude regression problem drives chatbot vibe coding quest; small language models and domain-specific approaches explored as alternatives.40:00 - Consciousness discussion through Michael Pollan's panpsychism lens; language versus cognition disconnect revealing LLMs as pure token-stitching without genuine thought.45:00 - Context graphs as purpose-built knowledge graphs for AI; Stewart's planning agents versus coding agents architecture and ground truth verification problem.50:00 - Docs-as-code versus code-as-docs paradigm shift; knowledge graphs as universal verifiers against validated facts; RDF 1.2 enabling provenance and degrees of certainty.55:00 - Jessica Talisman's Knowledge Graph Academy recommended for onboarding; kgi.fm podcast shared; knowledge representation community needs better abstraction for wider adoption.Key Insights1. The term "artificial intelligence" was not a marketing gimmick but was coined deliberately at the 1956 Dartmouth Conference to distinguish the work of John McCarthy from Norbert Wiener's cybernetics. The two camps represented genuinely different approaches, and the AI label was a form of intentional intellectual branding rather than empty promotion.2. The semantic web, often called the most successful failure in technology history, has quietly embedded itself everywhere despite never achieving its original vision. Technologies like RDF power metadata standards inside every Adobe product and form the invisible backbone of government systems, enterprise data infrastructure, and cultural heritage organizations worldwide.3. Knowledge graphs are best understood as an ontology combined with all the instances that populate it. The distinction between things and strings, popularized by Google in 2012, captures the core idea that knowledge representation is about concepts as distinct from the labels we give them.4. The t-box, a-box, and c-box framework offers a practical model for understanding knowledge architecture. The t-box holds terminology and concepts, the a-box holds assertions about specific instances, and the c-box manages the attributes, taxonomies, and controlled vocabularies that sit between them and enable things like faceted search.5. Large language models produce fluent, convincing output but lack genuine reasoning, epistemological grounding, or judgment. Research on cognitive surrender shows that even people who understand how LLMs work are still susceptible to being misled by their fluency, meaning intelligence and awareness offer no reliable protection against being deceived.6. The gap between language and cognition matters deeply when evaluating AI. Evidence from people with aphasia shows that thinking can occur without language, which suggests LLMs, being purely language-based systems, are missing a fundamental layer of cognition that cannot be recovered through more tokens or better training.7. Knowledge graphs and RDF-based representation are well suited to the problem of verification and grounding in AI systems. Rather than relying on vectorized embeddings of language, a knowledge graph can store validated, provenance-tracked facts with degrees of certainty, making it a natural foundation for building trustworthy AI applications.

In this episode of the Crazy Wisdom Podcast, host Stewart Alsop sits down with client strategist Amadeus Huff to cover a wide range of topics that wind their way from the nuts and bolts of recruiting and payment models to the rapidly shifting landscape of AI adoption in business. The two dig into how AI tools are reshaping client success roles, the murky territory of recording laws and privacy in a globalized world, the geopolitical implications of oil supply chains, sanctions, and the rise of domestic tech ecosystems in countries like Russia and Argentina, and what all of this means for the future of human connection and the nation-state. Amadeus closes on an optimistic note, arguing that as AI takes over bureaucratic busywork and erodes trust online, people will increasingly hunger for genuine human relationships and third spaces. You can connect with Amadeus Huff on LinkedIn.Timestamps00:00 - Stewart introduces Amadeus Huff, diving into recruiting as building connections between job seekers and employers with minimal variance.05:00 - Amadeus discusses AI adoption pitfalls, comparing aggressive growth strategies to Amazon's early model, questioning whether tools deliver promised results.10:00 - Conversation shifts to AI notetaking versus human perception, exploring probabilistic interpretation differences between humans and machines.15:00 - Recording consent laws debated across states, touching on Waymo surveillance, Uber data collection, and public versus private space definitions.20:00 - Global privacy landscape examined, covering Swiss banking secrecy erosion, ProtonMail's departure, and RISC-V semiconductor development escaping US jurisdiction.25:00 - Sanctions creating domestic innovation ecosystems discussed through Russia's example, paralleling Argentina's emerging commerce evolution.29:00 - Closing reflections on AI replacing bureaucracy while preserving human purpose, optimism about meaningful work and deeper personal connections emerging.Key Insights1. Recruiting is fundamentally about reducing variance between what job seekers want and what employers offer. The most ethical payment models in recruiting are tied to proven success, such as waiting three months to confirm a hire is working out, rather than collecting fees the moment a contract is signed.2. Business thinking has shifted from shareholder value to stakeholder value, meaning companies now consider the wellbeing of employees, families, and communities, not just stock price. This shift is accelerating due to AI overpromising and underdelivering, making value-based measurement more important.3. AI is most useful when it handles administrative tasks that provide no direct value to customers, such as transcribing meetings and populating CRM systems. This frees up workers to focus on meaningful relationship-building and intellectual work rather than bureaucratic busywork.4. There is an important distinction between recorded and unrecorded conversation in professional settings. Building trust through informal off-the-record dialogue before switching on a transcription tool creates clearer boundaries and stronger relationships with clients.5. Sanctions tend to follow a bell curve of effectiveness. Over time they force sanctioned countries to build domestic alternatives, which gain adoption and loyalty, ultimately reducing the influence of the original foreign companies once sanctions lift.6. AI is degrading trust in online information to the point where people will increasingly crave authentic human connection, physical gathering spaces, live experiences, and real relationships rather than algorithmically generated content.7. AI is quietly improving intergenerational relationships by removing codependency. When elderly parents learn to use AI for technical help, their calls to family members shift from problem-solving to genuine connection, which strengthens the relationship.

"Do nothing for us without us." According to today's guest Robyn Bussey, that operating principle is the basis for effective community health work. "You don't go into a community and dictate. You go and listen and trust and be a partner," she adds. As you'll learn in this enlightening conversation, Bussey is following that approach in her current work as Just Health Director at the Partnership for Southern Equity, an Atlanta-based nonprofit advancing racial equity and shared prosperity across the South.  On this episode of Raise the Line from Elsevier, Bussey provides illuminating  examples of community-rooted work in South Fulton County and rural Georgia, and explains why community health workers may be the most underutilized asset in addressing health disparities. This wide-ranging interview with host Michael Carrese also explores: Bussey's candid perspective on what happened to the surge of interest in health equity that occurred during COVID; Why life expectancy gains in many Southern states have lagged behind the rest of the country; Her advice to students and early-career clinicians about where they're needed most.   Mentioned in this episode:  Partnership for Southern Equity 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

As AI agents become more capable and autonomous, they also introduce new security challenges. In this 'Fully Connected' episode, Dan and Chris unpack Anthropic's Zero Trust for AI Agents security framework and what it means for organizations deploying agentic systems. They examine the key security risks facing agentic systems and discuss how organizations can apply Zero Trust principles to deploy AI agents safely. Along the way, they break down practical security controls and discuss how traditional cybersecurity principles must evolve for the age of AI agents.Featuring:Chris Benson – Website, LinkedIn, Bluesky, GitHub, XDaniel Whitenack – Website, GitHub, XLinks: Zero Trust for AI AgentsOWASP GenAI Project Sponsors:Prediction Guard: A self-hosted AI control plane for running agents in high impact environments. predictionguard.com/practicalaiUpcoming Events: Register for upcoming webinars here!Midwest AI Summit 2026

Innovation isn't about funding, it's about how organisations are built and led. Progress comes from cutting bureaucracy, empowering mission-led teams, and asking the right questions to unlock bold breakthroughs. This week, Dave, Esmee and Rob are joined again by André Loesekrug-Pietri, Chair and Scientific Director of the Joint European Disruptive Initiative (JEDI, Europe's ARPA) to explore how Europe can turn moonshot ambitions into reality by building the right people, culture and operating models for future-shaping organisations. TLDR00:41 – Introduction01:14 – Hang out: Esmee returns and the missing API has been found!05:14 – Dig in: Staying in step with global innovation12:57 – Conversation with André Loesekrug-Pietri1:02:26 – Roland Garros tennis, and unlocking creative energy GuestAndre Loeskrug-Petri: https://www.linkedin.com/in/andrepietri/X: @eurojediwww.jedi.foundation HostsDave Chapman:  https://www.linkedin.com/in/chapmandr/Esmee van de Giessen:  https://www.linkedin.com/in/esmeevandegiessen/Rob Kernahan:  https://www.linkedin.com/in/rob-kernahan/ ProductionMarcel van der Burg:  https://www.linkedin.com/in/marcel-vd-burg/Dave Chapman:  https://www.linkedin.com/in/chapmandr/ SoundBen Corbett:  https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Corbett:   https://www.linkedin.com/in/louis-corbett-087250264/ 'Realities Remixed' is an original podcast from Capgemini

In this in-depth conversation, Professor J. Nathan Kutz — Director of Physics-Informed AI at Autodesk and one of the leading figures in data-driven modeling, dynamical systems, and scientific machine learning — shares his journey from academia to industry and reflects on how AI is reshaping engineering. Known for influential contributions to methods such as Dynamic Mode Decomposition and Sparse Identification of Nonlinear Dynamics, Kutz offers a rare perspective on the evolution of machine learning in the physical sciences, the role of physics in building trustworthy AI systems, and the future of automation, agents, and human expertise in engineering design.Key topicsHistory of machine learning in engineeringDynamic Mode Decomposition (DMD) and Sparse Identification of Nonlinear Dynamics (SINDy)Physics-informed AI and reduced order modelingThe debate between physics-based and data-driven modelsThe future of autonomous agents and their impact on industryPapersFlower discrimination by pollinators in a dynamic chemical environment — Jeffrey A. Riffell, Eli Shlizerman, Elischa Sanders, Leif Abrell, Billie Medina, Armin J. Hinterwirth, J. Nathan Kutzhttps://doi.org/10.1126/science.1251041Nathan's early move into neuroscience and data-driven biological modeling.Data assimilation and discrepancy modeling with shallow recurrent decoders — Yuxuan Bao, J. Nathan Kutzhttps://arxiv.org/abs/2512.01170Using ML to close the gap between simulation and reality.Discovering governing equations from data by sparse identification of nonlinear dynamical systems — Steven L. Brunton, Joshua L. Proctor, J. Nathan Kutzhttps://doi.org/10.1073/pnas.1517384113The foundational paper introducing SINDy.On Dynamic Mode Decomposition: Theory and Applications — Jonathan H. Tu, Clarence W. Rowley, Dirk M. Luchtenburg, Steven L. Brunton, J. Nathan Kutzhttps://doi.org/10.3934/jcd.2014.1.391A key reference for Dynamic Mode Decomposition.Data-driven discovery of partial differential equations — Samuel H. Rudy, Steven L. Brunton, Joshua L. Proctor, J. Nathan Kutzhttps://doi.org/10.1126/sciadv.1602614Extends equation discovery to PDEs and physical systems.Deep learning for universal linear embeddings of nonlinear dynamics — Bethany Lusch, J. Nathan Kutz, Steven L. Bruntonhttps://doi.org/10.1038/s41467-018-07210-0Connects deep learning with Koopman theory.Articraft: An Agentic System for Scalable Articulated 3D Asset Generation — Matt Zhou, Ruining Li, Xiaoyang Lyu, Zhaomou Song, Zhening Huang, Chuanxia Zheng, Christian Rupprecht, Andrea Vedaldi, Shangzhe Wuhttps://arxiv.org/abs/2605.15187Project page: https://articraft3d.github.io/A practical example of agentic AI for engineering design.Chapters00:40 Introduction to Episode05:00 Welcoming Prof Kutz10:34 The Evolution of Data-Driven Modeling16:13 Understanding the SINDy Algorithm and Its Implications22:14 Comparing Reduced Order Modeling and Modern Machine Learning28:29 The Role of Data in Machine Learning and Physics34:23 Challenges in Extrapolation and Real-World Applications40:46 Insights from McLaren and Team Dynamics46:07 The Shift from Academia to Industry48:53 Collaboration and Innovation in Engineering51:57 The Role of Human Expertise in Design54:45 Leveraging AI in Formula One57:32 The Future of AI and Workforce Dynamics59:06 Navigating Career Choices in a Changing Landscape01:03:02 The Evolution of Thought in Engineering01:09:06 Preparing for the Future of Technology01:14:04 Responsible Use of AI in Engineering

Warum empfiehlt eine Plattform genau diese Tour – und nicht eine andere? In dieser Folge spricht Jonas Rashedi mit Stefan Neubig von Outdooractive über Recommender-Systeme, Knowledge Graphen und die technischen Grundlagen moderner Empfehlungstechnologien. Stefan gibt Einblicke in den Aufbau eines Graphen mit rund 92 Millionen Knoten und 140 Millionen Beziehungen. Dabei geht es um Nutzer, Touren, Regionen und Interaktionen – und darum, wie Machine-Learning-Modelle daraus personalisierte Empfehlungen ableiten. Besonders spannend: Warum Erklärbarkeit immer wichtiger wird, welche überraschenden Erkenntnisse Outdooractive bei Experimenten zur Besucherlenkung gewonnen hat und weshalb Knowledge Graphen im Zusammenspiel mit KI-Agenten eine wichtige Rolle spielen könnten. MY DATA IS BETTER THAN YOURS ist ein Projekt von BETTER THAN YOURS, der Marke für richtig gute Podcasts.

GUEST: Ken Graham, Director of NOAA National Weather ServiceNational Weather Service Director Ken Graham visited The Weather Channel for a wide-ranging conversation with Jim Cantore about the future of weather forecasting and public safety.They will discuss ongoing efforts to modernize the National Weather Service, the challenges of maintaining critical infrastructure, the latest developments in forecasting technology and AI, and what improvements may be on the horizon for everything from hurricane forecasts to severe weather prediction. They also talk about staffing, observations, and the tools that help forecasters turn data into decisions when lives are on the line.And as he marks four years as Director, Jim will ask Ken to reflect on the experiences that shaped his career, the accomplishments he's most proud of, and what he wants the public to better understand about the work happening behind the scenes every day.Chapters00:00 Introduction and Guest Credibility00:59 Ken Graham's Ten and Progress Overview02:24 Reflecting on Achievements and Vision03:45 Staffing Challenges and Hiring Boom05:19 Reorganizing for the Future07:01 Modernizing Infrastructure and Cloud Transition08:20 Partnering with Emergency Managers08:59 Radars: Aging Systems and Next-Gen Plans10:29 Private Sector Collaboration on Radars12:48 Innovations in Data Collection: Drones and Balloons13:42 NWS Chat and Communication Tools14:17 Break 114:31 Communicating Strong El Nino and Hurricane Risks15:47 Aircraft and Data for Better Forecasts16:38 Improvements in Track and Intensity Forecasts17:19 AI and Machine Learning in Weather Models18:36 Future of High-Resolution and Rapid Refresh Models20:17 Balancing Over-Preparation and Real-Time Response21:28 Next-Generation Modeling and Cloud Computing22:50 Break 222:50 Vision for Year 10: Fully Cloud-Based, Well-Staffed NWS24:26 Memories of Weather Disasters and Motivation25:37 The Drive to Save Lives and Limit Damage26:30 Engagement with the President and Policy Support27:35 Office Culture and Workforce Changes28:49 Challenges of Modernization and Change Management29:23 Supporting NWS Staff and Future OutlookSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

What can go wrong with machine learning? While at NDC in Toronto, Richard chatted with Megan Robertson about her experience with machine learning projects, often using retail datasets, and where they can go wrong. Megan talks about getting clear expectations and metrics for projects, so you know when you succeed, but then digs into the specifics of problems in machine learning, such as overfitting on test data. Your results are only as good as the data you put in, so a lot of focus goes into building good sets, carefully developing the model with those sets, and using techniques like cross-validation to ensure the model is behaving appropriately. There's a lot that can go wrong, but the results with an effective model can be very powerful - it is worth the effort! Links Cross Validate Model Megan's Website Recorded May 7, 2026

Episode SummaryIn the Season 2 finale of Breathless, host Jeremie Saunders tackles the ultimate question facing the Cystic Fibrosis (CF) community: Are we finally on the verge of a true cure? Growing up sick, Jeremie developed a psychological "immunity" to the repetitive promise that a cure was "just around the corner." But today, the conversation is fundamentally different.This episode takes us out of the pharmacy and directly into the laboratories where researchers are transitioning from small-molecule symptom management to structural gene editing. Featuring Dr. Bowen Li (University of Toronto), Dr. Paul Eckford (Chief Scientific Officer, CF Canada), and Kelly Grover (CEO, CF Canada), we pull back the curtain on the grueling reality of scientific research—described as "pushing a boulder up a hill with chopsticks." We explore how the global proof of concept from COVID-19 mRNA vaccines has turbocharged CF research, how CRISPR molecular scissors are being engineered to permanently rewrite genetic typos, and how Machine Learning is drastically accelerating the timeline to reach the final 10% of the community.Main Topics & Key Moments1. The Cost of Hope & The Ground ShiftThe Practiced Optimism: Jeremie details the emotional exhaustion of childhood hope cycles, where promised breakthroughs consistently failed to materialize, leading to a defensive "self-preservation" mindset in his twenties.A New Vocabulary: Why current scientific progress is materially different. For the first time, data-driven researchers are using definitive terms like functional cure, mutation-agnostic, and restoring normal function at the source.2. The Grind of the ArchitectureChopsticking the Boulder: Dr. Bowen Li describes the quiet, unglamorous reality of the lab at 8:00 PM on a Tuesday, where progress is measured in microscopic, hard-won inches.The Lazarus Effect vs. The Temped Joy: CEO Kelly Grover recalls an early advocacy trip to Ottawa with a profoundly ill young man, contrasting his miraculous post-Trikafta transformation with the sobering reality of meeting patients who remain devastatingly sick.3. The Molecular Typo: Nonsense MutationsThe Broken Text: While Trikafta acts as a structural prop for a wobbly, misfolded protein, it is entirely useless for patients with "nonsense mutations."The Cellular Stop Sign: Dr. Bowen Li explains that in these rare variations (such as the W57X mutation discussed in previous episodes), the cell hits a premature stop sign in the middle of reading the genetic sentence. The protein is cut off too early and never forms, leaving nothing for modulator drugs to attach to.4. Photocopies and Vaults: mRNA vs. CRISPRThe Vault Analogy: Dr. Li frames human genetics simply: DNA is the master cookbook safely locked inside the nucleus vault. You cannot remove the book, but you can create a temporary photocopy of a single page to take to the kitchen. That photocopy is mRNA.The Platform Revolution: A historical look at mRNA, from its discovery by Brenner and Crick in the 1960s to Katalin Karikó's underfunded, decades-long battle to chemically stabilize the molecule. The global deployment of COVID-19 vaccines served as the ultimate medical proof of concept, opening the floodgates for respiratory disease mapping.The Lipid Nanoparticle Trojan Horse: To get delicate mRNA past the lung's natural "bouncers" (mucus and cilia), scientists wrap it in a micro-engineered fat bubble designed to slide through sticky blockages and hit targeted cells.CRISPR Molecular Scissors: Moving beyond temporary photocopies, CRISPR edits the master cookbook itself. Hijacked from a bacterial immune defense system discovered in yogurt cultures, Jennifer Doudna and Emmanuelle Charpentier engineered the Cas9 protein to act as scissors guided by genetic GPS. Modern iterations—like base editing and prime editing—can cleanly correct a single letter in the double helix without fracturing the strand. Hosted on Acast. See acast.com/privacy for more information.

This week on Catalyst, Tammy is joined by Sezin Palmer, AI Solutions Leader at NTT DATA in North America. Sezin traces her impressive and unconventional journey from CIA analyst and Navy submarine warfare programs to building the National Health Mission area at Johns Hopkins' Applied Physics Lab from scratch, then leading health AI and data at EY. Tammy and Sezin dig into the democratization of AI and what it means that capabilities once locked behind years of data science training are now accessible to nearly anyone. They also discuss the thorny challenge of how organizations decide what not to build and why the hardest leadership problem right now isn't launching AI, it's knowing when to stop. Sezin also shares her vision for what has her most excited: the convergence of software, robotics, and biology. Please note that the views expressed may not necessarily be those of NTT DATALinks: Sezin Palmer 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.

On this episode of The Association Podcast, Megan Paulini of Associations International, Senior Technical Solutions Specialist and recent AWTC Champion Award winner, shares how she accidentally entered the association world via a temp role and grew from member services into tech solutioning, QA, and deep NetForum work. She explains how an AMC's shared-services model supports multiple association clients across varied tech stacks and why clear definitions, overcommunication, and documentation prevent costly misunderstandings. Megan reflects on recognition through AWTC, her preference for puzzle-style projects, and practical ways she uses AI daily, including having it review requirements for gaps, interview her with follow-up questions, generate test cases, and build a project forecast spreadsheet to reduce QA bottlenecks. The conversation also touches on realistic personalization, data foundations, and balancing customization with guardrails. 00:43 Guest Intro 01:16 Rapid Fire Questions03:23 How Megan Found Associations04:32 From Member Services to Tech07:26 Inside the AMC Model10:06 Patterns Across Clients12:22 Translating Business to Tech15:56 AWTC Award Spotlight20:37 Favorite Projects and Puzzles21:53 Switching to Maybel Setup22:23 Daily AI Wheel Spin22:59 AI for Better Requirements24:27 AI as Interviewer25:51 Forecasting QA Bottlenecks27:10 Choosing AI Tools30:05 Data Personalization Reality32:52 Progressive Profiling Vision33:23 Career Path Marketing35:12 Role Evolution at AMC38:43 Guardrails Over Customization40:27 Office Rundown Analogy41:03 Closing Takeaways

Wie hat dir die Folge gefallen?Gut

This episode is in ENGLISHIn this episode we talk about RacePace, a web app that helps trail runners prepare for races by combining training data, race details, pacing, nutrition, and equipment planning. We explain that the tool connects to a GPS watch, takes a short survey, and then builds a personalized race strategy using AI and machine learning.We also discuss the background behind the product. Ido shares that RacePace came out of his own experience of training well but struggling to translate fitness into race-day execution, especially because of nutrition, pacing, terrain, weather, and aid station time. We talk about how athlete feedback shaped the platform from the beginning and continues to guide development. A large part of the episode focuses on the pacing features. We describe how the app shows race information, an interactive course map, elevation profiles, aid stations, waypoint views, predicted times, and editable pacing plans. We also cover how the plan can be adjusted for different scenarios and exported to a watch or as a printable cheat sheet.We then go through the nutrition planner. Julie explains how the tool helps us plan carbohydrate, fluid, and sodium intake based on race conditions, sweat testing, and weather. We also talk about adding personal foods, matching products to race-day aid stations, and placing nutrition into the race timeline in a practical way.Finally, we cover the equipment checklist and the dashboard that tracks readiness and training progress toward race day. We close by emphasizing that the platform is designed for trail runners, is built with athlete feedback, and aims to make race preparation simpler and more accessible.As a goodie, Race Pace offers adidas INFINITE TRAIL competitors a discount of 30% for a yearly subscription. Please use AIT30 https://findracepace.com/Chapters0:26 English Episode Intro1:32 Ultra Race Background4:30 From Fitness to Execution6:07 Building RacePace8:30 Athlete Feedback Matters14:10 How RacePace Works18:03 Course Pacing Tools28:29 Nutrition Planning39:55 Training Runs Too41:46 Gear Checklist43:12 Race Readiness Dashboard45:01 Why It MattersDEUTSCHIn dieser Episode sprechen wir über RacePace, eine Web-App, die Trailrunner bei der Vorbereitung auf Wettkämpfe unterstützt, indem sie Trainingsdaten, Renndetails, Pacing, Ernährung und Ausrüstungsplanung miteinander kombiniert. Wir erklären, wie sich das Tool mit einer GPS-Uhr verbindet, eine kurze Umfrage durchführt und anschließend mithilfe von KI und maschinellem Lernen eine personalisierte Rennstrategie erstellt.Wir diskutieren auch die Hintergründe des Produkts. Ido erzählt, dass RacePace aus seiner eigenen Erfahrung heraus entstanden ist: Er war zwar gut trainiert, hatte aber Schwierigkeiten, seine Fitness am Wettkampftag optimal auf die Strecke zu bringen – vor allem aufgrund von Faktoren wie Ernährung, Pacing, Gelände, Wetter und der Zeit an den Verpflegungsstationen. Wir sprechen darüber, wie das Feedback von Athletinnen und Athleten die Plattform von Anfang an geprägt hat und die Entwicklung auch weiterhin leitet. Ein großer Teil der Episode konzentriert sich auf die Pacing-Funktionen. Wir beschreiben, wie die App Renninformationen, eine interaktive Streckenkarte, Höhenprofile, Verpflegungsstationen, Wegpunkt-Ansichten, prognostizierte Zeiten und anpassbare Pacing-Pläne anzeigt. Außerdem gehen wir darauf ein, wie der Plan für verschiedene Szenarien angepasst und auf eine Uhr exportiert oder als Spickzettel ausgedruckt werden kann. Danach gehen wir den Ernährungsplaner durch. Julie erklärt, wie das Tool dabei hilft, die Aufnahme von Kohlenhydraten, Flüssigkeit und Natrium basierend auf den Rennbedingungen, Schweißtests und dem Wetter zu planen. Wir sprechen auch darüber, eigene Lebensmittel hinzuzufügen, Produkte auf die Verpflegungsstationen am Wettkampftag abzustimmen und die Verpflegung praktisch in den Zeitablauf des Rennens zu integrieren.Schließlich behandeln wir die Ausrüstungs-Checkliste und das Dashboard, das die Startbereitschaft und den Trainingsfortschritt bis zum Renntag verfolgt. Zum Abschluss betonen wir, dass die Plattform speziell für Trailrunner entwickelt wurde, auf dem Feedback von Athleten basiert und das Ziel verfolgt, die Rennvorbereitung einfacher und zugänglicher zu machen.Als kleines Extra bietet Race Pace den Teilnehmern des adidas INFINITE TRAIL einen Rabatt von 30 % auf ein Jahresabo. Bitte nutze dafür den Code AIT30.https://findracepace.com/Kapitel0:26 Intro der englischen Episode1:32 Hintergrund zu Ultra-Wettkämpfen4:30 Von der Fitness zur Umsetzung am Renntag6:07 Die Entstehung von RacePace8:30 Warum Athleten-Feedback entscheidend ist14:10 Wie RacePace funktioniert18:03 Tools für das Pacing auf der Strecke28:29 Ernährungsplanung39:55 Gilt auch für Trainingsläufe41:46 Ausrüstungs-Checkliste43:12 Dashboard für die Startbereitschaft (Race Readiness)45:01 Warum es darauf ankommt / Warum es wichtig ist

As concerns escalate about the deadly Ebola virus outbreak in Africa, we bring you the unique insights of Dr. Peter Piot, a renowned microbiologist who co-discovered the virus 50 years ago during the first recorded outbreak of the disease. His on-the-ground account of that crisis was provided to us in April before the current outbreak was declared, but it contains valuable historical perspective and shares lessons learned that he carried forward in his consequential career.  “What I saw from the beginning is the most important thing is to listen to people and that you need to act fast to save lives, before you have the evidence you would like to have.”    He followed his contributions on Ebola by diving into the fight against HIV/AIDS, eventually reshaping global response in leadership roles at the World Health Organization and United Nations. As he shares with host Lindsey Smith, the learnings in that case were more pragmatic than scientific. “We had to redefine HIV/AIDS not as a medical problem but as an economic and security problem in order to get it on the political agenda.”  Tune in for a fascinating episode that takes you from the gritty frontlines of public health crises to the battles for funding and attention in the halls of power as Dr. Piot shares what it actually takes to move the world to respond effectively to health threats. Mentioned in this episode: London School of Hygiene & Tropical Medicine 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

AI models can win math olympiads… but still struggle to read an analog clock. In this fully connected episode, Dan and Chris break down the latest Stanford AI Index Report and explore what it reveals about the current state of AI. They discuss AI adoption and safety, disappearing junior tech jobs, robotics, AI's “jagged frontier” of intelligence, and the growing race between the U.S. and China. Along the way, they debate whether AI should optimize everything, or if some things are better left human. Featuring:Chris Benson – Website, LinkedIn, Bluesky, GitHub, XDaniel Whitenack – Website, GitHub, XLinks:The 2026 AI Index ReportSponsors:Prediction Guard: A self-hosted AI control plane for running agents in high impact environments. predictionguard.com/practicalaiUpcoming Events: Register for upcoming webinars here!Midwest AI Summit 2026

Realities Remixed, formerly known as Cloud Realities, launches a new season exploring the intersection of people, culture, industry and tech.Life sciences are at a turning point, where scientific innovation, regulatory pressure, and patient expectations collide with unprecedented advances in data, AI, and digital platforms. IT is no longer a supporting function but a critical driver of how therapies are discovered, developed, scaled, and delivered safely and at speed.This week, Dave and Rob kick off the Life Sciences mini‑series with Thorsten Rall, Global Industry Lead for Life Sciences at Capgemini, to exploring the current state of the sector, the key themes shaping the episodes ahead, and what it takes to drive better patient outcomes. TLDR00:30 – Introduction to Life Sciences and co‑host Thorsten Rall04:37 – Hang‑out: Navigating Waterloo Station07:50 – Deep dive with Thorsten Rall into the Life Sciences landscape28:03 - What are the main challenges in the sector and main themes45:31 – BBQ season is starting HostsDave Chapman:  https://www.linkedin.com/in/chapmandr/Esmee van de Giessen:  https://www.linkedin.com/in/esmeevandegiessen/Rob Kernahan:  https://www.linkedin.com/in/rob-kernahan/with co-host Thorsten Rall: https://www.linkedin.com/in/thorsten-alexander-rall-b232185/ ProductionMarcel van der Burg:  https://www.linkedin.com/in/marcel-vd-burg/Dave Chapman:  https://www.linkedin.com/in/chapmandr/ SoundBen Corbett:  https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Corbett:   https://www.linkedin.com/in/louis-corbett-087250264/ 'Realities Remixed' is an original podcast from Capgemini

In this episode, I sit down with Georg Katzlinger to explore the surprising complexity of the flat glass industry and the unique challenges it faces. We dive into how AI solutions are revolutionizing the way custom glass orders are processed, from deciphering handwritten requests to integrating with legacy ERP systems. Georg shares his journey from engineering to AI entrepreneurship, revealing why deterministic, human-in-the-loop automation is essential for manufacturers. I ask the tough questions on accuracy, implementation, and industry-specific hurdles, giving you an insider's perspective on what it takes to bring AI into traditional sectors. If you're curious about the intersection of deep tech and real-world manufacturing, you won't want to miss this conversation.

This week on Catalyst, Tammy is joined by Abhijit Sunil, Senior Analyst at Forrester Research, where he leads flagship research programs on IT sustainability, sustainability management, and climate risk. Abhijit traces his remarkable journey from designing robotics labs at IIT Bombay to consulting at Ericsson and McKinsey, before landing at Forrester where a flood of client questions about data center efficiency set him on the path to sustainability research. He shares how volunteering as a teacher in Mumbai's slums profoundly shaped his worldview—giving him a lens for seeing optimization and sustainability as deeply human issues, not just technical ones. Tammy and Abhijit also dig into the double-edged nature of AI, from its staggering energy demands to its extraordinary potential to democratize access, and why the answer to almost every big question in sustainability lives somewhere in the Goldilocks zone between extremes.Please note that the views expressed may not necessarily be those of NTT DATA.Links: Abhijit Sunil 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.

Modern work can be frustrating and chaotic—if you don't have the right tools. From context engineering to multimodal search, go behind the scenes and hear how Dropbox engineers are building AI that actually understands you, so you can focus on the work that matters most. If you're new to Working Smarter, we've travelled from the F1 track to the bottom of a lake, and heard real stories from chefs, doctors, lawyers, and founders about how AI is helping them do more of what they love about their jobs. But in our third season, we're talking to the people behind the tools—the engineers and product leaders building helpful, time-saving AI features into the Dropbox experience you already know and trust. You'll hear all about their work on agents, inference, security, and, of course, how the people building AI use AI themselves. ~ ~ ~  Working Smarter is brought to you by Dropbox. Find, organize, and share your work—all in one place—with context-aware AI from Dropbox. You can listen to more episodes of Working Smarter on Apple Podcasts, Spotify, YouTube, Amazon Music, or wherever you get your podcasts. To read more stories and past interviews, visit workingsmarter.ai This show would not be possible without the talented team at Cosmic Standard: producer Ben Montoya, sound engineer Aja Simpson, technical director Jacob Winik, and executive producer Eliza Smith. Special thanks to our illustrator Fanny Luor, marketing consultant Meggan Ellingboe, and editorial support from Catie Keck.  Our theme song was composed by Doug Stuart.  Working Smarter is hosted by Matthew Braga. Thanks for listening!

Send us Fan MailIn this power-packed episode, we dive deep with Nir Valtman, a cybersecurity founder turned SaaS innovator, who reveals the raw truth behind starting from zero and scaling to hundreds of thousands of subscribers. He shares how ditching excuses, setting bold goals, and harnessing vision can lead you through the chaos of growth and the fear of failure.You'll discover the critical mindset shifts that propelled Nir from a kid coding for fun to leading cutting-edge AI and cybersecurity breakthroughs. We break down:How to build a personal brand from scratch without prior fameWhy setting micro-goals fuels unstoppable momentumThe role of continuous learning and strategic failure in innovationWhy the real growth lies in shifting your mindset, not just your tacticsThe future of AI coding and what it means for developers and entrepreneurs alikeThis isn't just another episode about tech trends — it's a call to action. If you're tired of feeling stuck, ready to unlock your true potential, and eager to understand how mindset can lead to massive success, this episode is a must-listen. The difference between surviving and thriving begins in your mindset — tune in and transform your approach now.Join Nir's journey—where relentless passion meets bold action—and discover how you can rewrite your own story today.00:00 - The story behind the podcast's rapid growth and humble origins00:14 - How the host started with only 10 listeners, but stayed committed00:43 - Setting incremental goals and celebrating small wins00:56 - The importance of mindset in scaling success01:23 - Overcoming self-doubt and the fear of failure01:48 - Breaking through social media noise to reach a wider audience02:07 - The role of intentional goal-setting in personal and professional growth02:17 - Learning from mentors like Jim Rohn and applying their lessons03:08 - Reflecting on career milestones and passions outside work03:34 - Recognizing the value of experiences over material success04:03 - The dangers of complacency and staying curious about life04:40 - Encouragement to start, despite odds or doubts05:24 - Tailoring goals to individual priorities and values05:44 - How to get started with your own journey, no matter your backgroundSupport the showFollow the Podcast on Social Media!Tesla Referral Code: https://ts.la/joseph675128YouTube: https://www.youtube.com/@securityunfilteredpodcastInstagram: https://www.instagram.com/secunfpodcast/Twitter: https://twitter.com/SecUnfPodcastAffiliates➡️ OffGrid Faraday Bags: https://offgrid.co/?ref=gabzvajh➡️ OffGrid Coupon Code: JOE➡️ Unplugged Phone: https://unplugged.com/Unplugged's UP Phone - The performance you expect, with the privacy you deserve. Meet the alternative. Use Code UNFILTERED at checkout*See terms and conditions at affiliated webpages. Offers are subject to change. These are affiliated/paid promotions.

Learning the “basics” of AI begins with understanding how AI can help lighten the load family medicine educators carry every day in the clinic and classroom. In the first episode of our AI Deep Dive Summer Series, Drs Linda Chang and Rika Bajra discuss how AI has already affected medical education, from curriculum design and competency-based education to formative assessment and personalized learning. They show how AI literacy allows educators to reclaim time to focus on the human-centered aspects of patient care and medical education. And if you feel like it's too late to start learning about AI, they offer practical tips for both using and teaching AI in medical education. Hosted by Omari A. Hodge, MD, FAAFP and Jay-Sheree Allen Akambase, MDCopyright © Society of Teachers of Family Medicine, 2026Resources:Artificial Intelligence and Machine Learning for Primary Care Curriculum (AiMPC) CourseEthical Use of AI in the Family Medicine Clinic - STFM WebinarAn Opportunity to Thrive - AI in Family Medicine - STFM PodcastEstablishing a National Framework for Family Medicine AI Centers of Excellence - Fam Med.Linda Chang, PharmD, MPHDr Chang is an Associate Professor of Clinical Medicine at the University of Illinois Chicago (UIC) College of Medicine Rockford, with a background as a board-certified clinical pharmacist, a degree in Public Health, and ongoing studies toward a Master's in Health Professions Education. She spent 17 years as faculty in the Family Medicine Residency Program and currently serves as the Pharmacology Theme Director at the College of Medicine, where she teaches evidence-based medicine and public health. Her work reflects an interdisciplinary approach to medical education that integrates clinical practice, public health, and emerging technologies. As co-director of the AI in Medicine theme at UIC, Dr Chang has co-led the development and implementation of a longitudinal, integrated AI in Medicine curriculum, a fourth-year elective course, and an AI in Medicine scholarly concentration program.  Rika Bajra, MDDr Bajra is an Assistant Clinical Professor in Primary Care and Population Health at Stanford School of Medicine, where she practices as a family physician and teaches medical students as the Associate Director of the Clerkship in Family and Community Medicine. In her roles as Telehealth Co-Director and Telemedicine Education Curriculum Lead, she is focused on integrating technology tools into clinical practices and medical education through a primary care lens. She has previously developed telemedicine curricula with the STFM Telemedicine Task Force and received an Association of American Medical Colleges (AAMC) grant to create a longitudinal telemedicine curriculum. Currently, Dr Bajra is exploring the integration of artificial intelligence into the Family Medicine curriculum and its application in reducing faculty burden in Objective Structured Clinical Examination (OSCE) assessments. In her personal life, she lives with her husband and three boys and enjoys hiking and traveling.Link: https://www.stfm.org/stfmpodcast062026 

Did you ever see the video of two regular people trying to fight Eddie Hall, the strongest man on earth? Ben and Vaden bring that same energy to this conversation, where they gang up on Robert Wright on the subject of his forthcoming book The God Test: Artificial Intelligence and Our Coming Cosmic Reckoning. Bob is a sport about it (well, there was no choice really: we have an advanced copy of his book that we're holding hostage) and there are only one or two black eyes by the end. Subscribe to Robert Wright's podcasting empire NonZero on youtube and substack. And go buy one of his many books. We discuss Whether Bob was the OG podcaster Is there a directionality to evolution? Where Bob is on the AI fear and awe spectrum Whether LLMs have decoded the meaning in language Is AI best viewed as a tool or as superintelligence? AI-as-slingshot analogy References The God Test by Robert Wright Nonzero by Robert Wright William Paley and his pocket watch The Blind Watchmaker by Richard Dawkins Our conversation with Scott Aaronson Socials Follow us on Twitter at @RobertWrighter, @IncrementsPod, @BennyChugg, @VadenMasrani Come join our discord server! DM us on twitter or send us an email to get a supersecret link Become a patreon subscriber here. Or give us one-time cash donations to help cover our lack of cash donations here. Click dem like buttons on youtube What's the directionality of this podcast? Tell us at incrementspodcast@gmail.com.Special Guest: Robert Wright.

In this episode, Ben Lorica sits down with Doris Xin and Moustafa Abdelbaky, co-founders of Disarray, to discuss why classical machine learning models remain essential despite the rise of foundation models and LLMs. Subscribe to the Gradient Flow Newsletter

What happens when AI agents start acting less like chatbots and more like coworkers? In this episode, Dan and Chris sit down with Craig McLuckie, CEO of Stacklok to explore MCP, Kubernetes, ToolHive, enterprise AI, and the emerging infrastructure powering AI-native applications. From identity management to agent orchestration and system architecture, this conversation dives into how organizations may soon manage entire fleets of AI agents working behind the scenes.Featuring:Craig McLuckie – LinkedInChris Benson – Website, LinkedIn, Bluesky, GitHub, XDaniel Whitenack – Website, GitHub, XLinks:StacklokToolhiveSponsors:Prediction Guard: A self-hosted AI control plane for running agents in high impact environments. predictionguard.com/practicalaiUpcoming Events: Register for upcoming webinars here!Midwest AI Summit 2026

Realities Remixed, formerly known as Cloud Realities, launches a new season exploring the intersection of people, culture, industry and tech.Today's most pressing challenges arise from the collision of rapid technological change with deepening economic inequality, weakening democratic systems, geopolitical instability and accelerating climate pressure, leaving world leaders wrestling with how to govern and solve these deeply interconnected crises.This week, Dave, Esmee and Rob are joined by Dex Hunter-Torricke, Founder & President The Center for Tomorrow to explore how tech can solve world macro issues. TLDR00:33 – Introduction00:40 – Hang out: The Boys on Amazon Prime final episode (spoilers) 06:02 – Dig in: How to solve world macro issues? 07:45 – Conversation with Dex Hunter-Torricke 44:52 – Writing a book and meeting world leaders GuestDex Hunter-Torricke: https://www.linkedin.com/in/dextb/https://www.centerfortomorrow.com/ HostsDave Chapman:  https://www.linkedin.com/in/chapmandr/Esmee van de Giessen:  https://www.linkedin.com/in/esmeevandegiessen/Rob Kernahan:  https://www.linkedin.com/in/rob-kernahan/ ProductionMarcel van der Burg:  https://www.linkedin.com/in/marcel-vd-burg/Dave Chapman:  https://www.linkedin.com/in/chapmandr/ SoundBen Corbett:  https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Corbett:   https://www.linkedin.com/in/louis-corbett-087250264/ 'Realities Remixed' is an original podcast from Capgemini

Neste episódio, mergulhamos no uso da Inteligência Artificial na logística e nos bastidores do Magalu Entregas. Falamos sobre onde a IA atua na operação, desafios técnicos de algoritmos em ambientes dinâmicos, impactos na experiência de clientes e vendedores parceiros (sellers), aprendizados práticos e as tendências de dados que estão otimizando as entregas de milhões de pessoas todos os dias.Nos siga no Twitter e no Instagram: @luizalabs e @cabecadelabDúvidas, cabeçadas ou sugestões? Mande um e-mail para ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠cabecadelab@luizalabs.com___Participantes:DOUGLAS ZALTRON: https://br.linkedin.com/in/douglaszaltronMARILIA TAVARES: https://www.linkedin.com/in/mariliagtavares/MARCO AURÉLIO SILVA: https://www.linkedin.com/in/marcomaia-ds/LUCAS LIMA: https://www.linkedin.com/in/lucaslc/MILENE VASCONSELOS: https://www.linkedin.com/in/mmvasconcelos/Indicações:Curso "Generative AI leader"Curso Google "Machine Learning"Livro "O mindset da IA: ela pensa, você decide"Outros:Artigo "Harness engineering for coding agent users"Skills GoogleGoogle Cloud

In this episode, we dive deep into the promise and pitfalls of industrial AI with hands-on experts from a unique Volkswagen-Siemens joint venture. We challenge the hype around humanoid robots, discuss the practical impact of AI on factory design and operations, and uncover what truly drives value on the shop floor. Our guests share candid insights on scaling AI solutions, the role of synthetic data, and why safety and trust remain at the core of industrial automation. Join us as we separate fact from fiction and chart the path forward for intelligent manufacturing. If you're curious about the real impact of AI beyond the buzzwords, this conversation is for you.

The MeidasTouch Podcast is back for a packed Memorial Day episode as the brothers break down Donald Trump's latest self-inflicted chaos on the world stage, including how he continues to torpedo his own Iran negotiations by suddenly demanding Middle East allies join the Abraham Accords, reportedly leaving leaders in stunned silence on a tense call. The episode also covers Trump's bizarre Memorial Day attacks on former presidents Barack Obama and Biden, major Democratic campaign speeches drawing sharp contrasts ahead of the midterms, and the growing backlash from prominent MAGA influencers now openly turning on Trump as his approval ratings crater, especially among young voters. Ben, Brett and Jordy also discuss Trump's latest bizarre ballroom court filing that reads like it was written by Trump himself, new details surrounding the shooting near the White House and Trump's immediate effort to politicize it for his ballroom project, Russia's escalating attacks on Kyiv, and all the latest breaking news. Subscribe to Meidas+ at https://meidasplus.com Get Meidas Merch: https://store.meidastouch.com Deals from our sponsors!  Smalls: Head to https://Smalls.com/meidas and use promo code MEIDAS at checkout for 60% off your first order PLUS free shipping! IQBar: Get 20% OFF all IQBAR products. Text TRUTH to 64000. NetSuite: Download the CFO's guide to Al and Machine Learning at https://Netsuite.com/meidas Willie's Remedy: Order now at https://drinkwillies.com and use code MEIDAS for 20% off of your first order + free shipping on orders over $95 Remember to subscribe to ALL the MeidasTouch Network Podcasts: MeidasTouch: https://www.meidastouch.com/tag/meidastouch-podcast Legal AF: https://www.meidastouch.com/tag/legal-af MissTrial: https://meidasnews.com/tag/miss-trial The PoliticsGirl Podcast: https://www.meidastouch.com/tag/the-politicsgirl-podcast Cult Conversations: The Influence Continuum with Dr. Steve Hassan: https://www.meidastouch.com/tag/the-influence-continuum-with-dr-steven-hassan The Weekend Show: https://www.meidastouch.com/tag/the-weekend-show Burn the Boats: https://www.meidastouch.com/tag/burn-the-boats Majority 54: https://www.meidastouch.com/tag/majority-54 On Democracy with FP Wellman: https://www.meidastouch.com/tag/on-democracy-with-fpwellman Uncovered: https://www.meidastouch.com/tag/maga-uncovered Learn more about your ad choices. Visit megaphone.fm/adchoices

This week, Tammy welcomes Will Townsend to the Catalyst podcast booth, recording live from NTT Research's Upgrade event in Silicon Valley. Will is the Chief Analyst at LoneStar Advisory and Research, an independent firm he launched after nearly a decade at Moor Insights & Strategy. In this conversation, Will shares where he's seeing AI create genuine, measurable impact beyond the pilot stage. Will also makes the case for post-quantum readiness as the next critical frontier and gives a candid look at his own hands-on science experiment with an OpenClaw mini PC — because, as he puts it, there's no substitute for getting your hands dirty.Please note that the views expressed may not necessarily be those of NTT DATA.Links: LoneStar Advisory and Research 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.

The ongoing outbreak of hantavirus infections that originated with passengers on the Dutch cruise ship MV Hondius in April has generated concerns across the globe. This very rare occurrence has led to a number of deaths, required quarantining of passengers and prompted emergency responses from public health authorities in multiple countries.  On this episode of Raise the Line from Elsevier, we're tapping the expertise of a leading authority on the subject, Dr. Jamie Childs of Yale University, to provide you with a scientific understanding of hantaviruses and what level of threat is posed by this situation. In short, Dr. Childs believes this is not the start of a pandemic. “The Andes variant involved here is one of the most dangerous hantaviruses, but it is totally controllable with contact tracing.” This timely conversation with host Lindsey Smith is informed by Dr. Childs' decades of hantavirus research as well as learnings from his role leading the CDC's environmental investigation during the landmark 1993 hantavirus outbreak in the Four Corners region of the American Southwest. And be sure to stay tuned to hear his concerns about the factors complicating containment of the current Ebola outbreak in East Africa. Note: this conversation was recorded on May 19th, 2026. Mentioned in this episode: Yale School of Public Health Yale Institute for Global 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

The automotive retail industry is at a genuine inflection point. Rules are being rewritten, the competition is intensifying, and the pressure to transform has never been greater.In this episode, Hartmut Wagner, CEO of Nextlane, shares how his company is helping dealerships and manufacturers navigate that complexity through a cloud-based open ecosystem, transforming from the inside out in the process.For Hartmut, the key isn't the technology. It's the culture behind it, leading with values, proving AI's impact through real use cases, and empowering people until adoption stops feeling like a directive and starts feeling natural.This episode offers leaders a practical perspective on driving transformation in a traditional industry, building a culture of curiosity and innovation, and why enabling your people is always the most powerful place to start.

In AI Valley, Gary Rivlin explains how OpenAI transitioned from a $10 million nonprofit endeavor to a multi-billion dollar enterprise. The immense cost of specialized chips and million-dollar salaries for machine learning talent rendered the original nonprofit model unsustainable. Consequently, Altman orchestrated a "for-profit subsidiary" to attract massive capital, notably from Microsoft, which invested $1 billion in 2019 and later an additional $10 billion. Rivlincharacterizes Altman as a charming and brilliant strategist who now prioritizes winning the global AI race over the company's original safety mission. This shift underscores the intense competition to become the next trillion-dollar company in the AI sector. (2/8)1903 SANTA BARBARA

Hosted by Dr. Jacinta Delhaize, Dr. Tshiamiso Makwela, Dr. Daniel Cunnama & François Campher.   In this episode of The Cosmic Savannah, Dan and Francois sit down with Dr. Nick Erasmus to explore the ATLAS Digital Assistant and the growing role of Artificial Intelligence and Machine Learning in astronomy. They discuss how these technologies are reshaping the modern astronomical landscape and what this means for the role of astronomers in the years ahead.   Dr. Nick Erasmus, a returning guest now in his third appearance on the show, works closely with the ATLAS telescopes and leads key components of the Intelligent Observatory initiative at the South African Astronomical Observatory (SAAO). His work focuses on automating follow-up observations across telescopes, helping to streamline and modernise the observing process.   Using the new ATLAS Digital Assistant as a starting point, the conversation quickly broadens into a vibrant discussion about AI in science more generally. Dan, Francois, and Nick share their perspectives on the opportunities, challenges, and future directions of AI in astronomy.   Join us for a timely and engaging discussion at the intersection of astronomy and cutting-edge technology!   We've added a new way to donate to 365 Days of Astronomy to support editing, hosting, and production costs.  Just visit: https://www.patreon.com/365DaysOfAstronomy and donate as much as you can! Share the podcast with your friends and send the Patreon link to them too!  Every bit helps! Thank you! ------------------------------------ Do go visit http://www.redbubble.com/people/CosmoQuestX/shop for cool Astronomy Cast and CosmoQuest t-shirts, coffee mugs and other awesomeness! http://cosmoquest.org/Donate This show is made possible through your donations.  Thank you! (Haven't donated? It's not too late! Just click!) ------------------------------------ The 365 Days of Astronomy Podcast is produced by the Planetary Science Institute. http://www.psi.edu Visit us on the web at 365DaysOfAstronomy.org or email us at info@365DaysOfAstronomy.org.

At Data Makers Fest, a recurring theme was the tension between GenAI hype and production reality. Speakers stressed that classical ML, MLOps, evaluation, data quality, and governance remain essential—especially in regulated sectors like fintech and healthcare. Another strong theme was inclusivity: building AI that serves smaller languages, diverse communities, and practitioners beyond the English-centric ecosystem.Ryan Chaves. Head of ML at a Dutch fintech, Ryan focused on the gap between AI demos and production systems. He argued that classical ML remains critical for fraud detection and risk scoring, while GenAI works best as an accelerator on top of existing systems. He also emphasized storytelling, stakeholder communication, and mentorship as core engineering skills.Alp Öktem. Computational linguist and researcher Alp explored the imbalance between AI progress in English and low-resource languages. Through Mozilla Data Collective, he highlighted how open datasets, speech corpora, and synthetic data can expand AI access to underrepresented communities. His broader warning: fluent AI can still fail culturally, linguistically, and ethically.Agnieszka Kamińska. Working in pharmaceutical ML engineering, Agnieszka discussed extracting scientific knowledge from research documents into knowledge graphs. Her focus was reliability: LLMs help with entity extraction and relationship discovery, but trustworthy systems still require ontologies, validation layers, and production-minded engineering. She advocated a pragmatic middle ground between AI hype and skepticism.Nemanja Radojković. An MLOps engineer in finance, Nemanja reflected on how GenAI is changing software engineering itself. He argued that coding assistants improve productivity but risk weakening engineers' understanding if overused. His central point: governance, reproducibility, and platform engineering will become even more important as organizations deploy AI agents at scale.Filipa Castro. Leading AI initiatives at Euronext, Filipa described how GenAI is integrated into regulated financial workflows. Her team uses LLMs to automate document-heavy operational processes while preserving human validation. Her broader message: successful enterprise AI depends less on flashy models and more on infrastructure foundations like CI/CD, monitoring, governance, and operational rigor.Beatriz Silva. As a student volunteer pursuing a master's in data science, Beatriz represented the conference's educational and community dimension. For her, the event was about access—networking with companies, exploring thesis opportunities, and connecting academic learning with industry practice. Her perspective highlighted how conferences like Data Makers Fest help shape the next generation of AI practitioners.Connect with speakers: Ryan Chaves. Head of Machine Learning at a Dutch fintech focused on fraud detection, risk systems, and production ML. LinkedInAlp Öktem. Computational linguist and researcher focused on low-resource languages, inclusive AI, and open language datasets. LinkedInAgnieszka Kamińska. Machine Learning Engineer working on scientific knowledge extraction, knowledge graphs, and AI systems in pharma. LinkedInNemanja Radojković. Senior MLOps Engineer specializing in regulated financial systems, AI governance, and platform engineering. LinkedInFilipa Castro. AI Lead at Euronext focused on enterprise GenAI systems, operational AI strategy, and financial services automation. LinkedInBeatriz Silva. Data science master's student and conference volunteer exploring opportunities in ML and computer vision. LinkedIn

We mark National Mental Health Awareness Month on this episode by tapping the expertise of Dr. Steve Strakowski, an internationally recognized expert in bipolar disorder, who has spent decades studying the neurobiology and treatment of mood conditions while pushing just as hard on the structural barriers that keep effective treatments out of reach for more than half the people who need them. In this conversation with Raise the Line from Elsevier host Michael Carrese, Dr. Strakowski explains why access, not science, is now the biggest obstacle to improving mental health outcomes. He also addresses the heavy toll society pays for underfunding mental health prevention and treatment programs. “The money is spent eventually, but in the most expensive places like emergency rooms and prisons, and there is the human cost of suffering and suicides." This important discussion also covers: The persistent problem of Black patients presenting with mania being misdiagnosed with schizophrenia;  Why he describes bipolar disorder as a reward-processing illness;  The emerging therapies he finds encouraging. Mentioned in this episode:Indiana University School of Medicine 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

Open Source AI is entering a new era, one shaped by self-improving AI Agents, recursive learning systems, and rapidly evolving AI Tools that blur the line between software and autonomous collaborators. In this episode, Daniel and Chris sit down with Nous Research co-founder and CTO Jeffrey Quesnelle to explore Hermes Agent. Along the way, they discuss models vs. harnesses, the changing role of developers, and one of the biggest questions facing the AI Future: what remains uniquely human as AI capabilities continue to accelerate?Featuring:Jeffrey Quesnelle – Website, LinkedInChris Benson – Website, LinkedIn, Bluesky, GitHub, XDaniel Whitenack – Website, GitHub, XLinks:Nous ResearchHermes AgentSponsors:Framer: The enterprise-grade website builder that lets your team ship faster. Get 30% off at framer.com/practicalaiPrediction Guard: A self-hosted AI control plane for running agents in high impact environments. predictionguard.com/practicalaiUpcoming Events: Register for upcoming webinars here!Midwest AI Summit 2026

Starting an AI company is all about spotting a real problem and using AI to solve it in a smarter, faster way than what's out there today. It's less about having the perfect idea and more about starting focused, learning fast, and building something people actually want.This week, Dave, Esmee, and Rob are joined by Gijs van de Nieuwegiessen and Tijn van Daelen, founders of One Horizon AI, to explore what it really takes to start and build an AI‑native company TLDR00:32 – Introduction00:55 – Hang out: Why Dutch names can be a real tongue-twister02:00 – Dig in: Exploring how an AI-native culture fits with human-to-human interaction13:35 – Deep dive with Gijs van de Nieuwegiessen and Tijn van Daelen1:01:54 – Following AI: Bloopers, reflections, and field hockey with the kids GuestGijs van de Nieuwegiessen: https://www.linkedin.com/in/nieuwegiessen/Tijn van Daelen: https://www.linkedin.com/in/tijn-van-daelen-495986131/Open source repo: https://github.com/onehorizonai/ink HostsDave Chapman:  https://www.linkedin.com/in/chapmandr/Esmee van de Giessen:  https://www.linkedin.com/in/esmeevandegiessen/Rob Kernahan:  https://www.linkedin.com/in/rob-kernahan/ ProductionMarcel van der Burg:  https://www.linkedin.com/in/marcel-vd-burg/Dave Chapman:  https://www.linkedin.com/in/chapmandr/ SoundBen Corbett:  https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Corbett:   https://www.linkedin.com/in/louis-corbett-087250264/ 'Realities Remixed' is an original podcast from Capgemini

Dr. Drew Carey is joined by Drs. S. Saeed Mohammadi and Quan Dong Nguyen, authors of Ophthalmology Science's "Detecting Inflammation in Fundus Photographs Using Machine Learning." They discuss their study investigating the use of AI in the diagnosis of uveitis from ultra-widefield fundus photographs. Detecting Inflammation in Fundus Photographs Using Machine Learning. Mohammadi S, Yavari N, Saengsirinavin A, et al. Ophthalmology Science, Volume 6, Issue 2.

Guest: Dr. Michael Pritchard, Director of Climate Simulation ResearchWhen we think about climate models, we often picture supercomputers humming away in government labs or university basements. But increasingly, some of the most powerful tools shaping the future of climate science are coming from an unexpected place — Silicon Valley. Today, we're joined by Dr. Michael Pritchard, Director of Climate Simulation Research at NVIDIA. Yes, that NVIDIA — the company known for powering gaming, AI, and some of the world's fastest computing systems. But behind the scenes, NVIDIA is helping drive a revolution in climate and Earth system modeling, using advanced GPUs and machine learning to build faster, higher-resolution simulations of our planet. In this episode, we'll explore how artificial intelligence is reshaping climate science, what it takes to simulate Earth in unprecedented detail, and why the future of forecasting may depend as much on silicon as it does on physics.Chapters00:00 Introduction to AI in Weather and Climate Modeling03:21 Understanding NVIDIA's Role in Climate Simulation05:34 The Motivation Behind Earth Simulation07:40 AI vs Traditional Weather Modeling Techniques11:10 Addressing Concerns About AI in Weather Forecasting13:49 Break 114:19 The Earth 2 Project and Its Implications18:37 Open Source Weather Models and Their Importance23:33 Exploring GPUs and Their Role in AI24:51 Stormscope: A New Era in Nowcasting28:55 AI and Machine Learning in Mesoscale Forecasting31:48 Break 232:15 Ensuring Ethical AI in Weather Forecasting35:31 The Future of AI in Climate ModelingSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In this episode of the Ardan Labs Podcast, Ale Kennedy talks with Eugene Cheah, founder of Featherless, about his journey from physics to building globally accessible AI systems. Eugene shares his vision for making AI more affordable, multilingual, and open to communities around the world through efficient architectures and open-source collaboration.The conversation explores GPU optimization, evolving AI infrastructure, the importance of multilingual support, and the balance between innovation and regulation. Eugene also reflects on speaking at the United Nations, the future of open-source AI, and why accessibility and transparency are essential for the next generation of AI technology.00:00 Introduction and Featherless02:25 Education and Early Interests10:24 University and Military Service15:19 Entering the AI Industry22:33 Startups and AI Development30:42 AI as a Force for Good34:28 AI, Culture, and Automation42:13 Fundraising and Building a Startup50:10 AI Architecture and Optimization58:23 The Evolution of Featherless01:02:37 Building a Global AI Vision01:06:57 Open Source and AI Accessibility01:12:35 AI Risks and Real-World Concerns01:18:20 Lessons Learned and Final ThoughtsConnect with Eugene: LinkedIn: https://www.linkedin.com/in/eugene-cheah-a47791126/Mentioned in this Episode:Featherless AI: https://featherless.ai/Want more from Ardan Labs? You can learn Go, Kubernetes, Docker & more through our video training, live events, or through our blog!Online Courses : https://ardanlabs.com/education/ Live Events : https://www.ardanlabs.com/live-training-events/ Blog : https://www.ardanlabs.com/blog Github : https://github.com/ardanlabs

This week on Catalyst, Caleb Knight joins Tammy in the Catalyst podcast booth, recording live from NTT Research's Upgrade event. Caleb is the Director Of AI TechX, Industry Partnerships and Economic Development at the University of Tennessee, Knoxville. Together they explore the reality of AI in the workforce; reframing the conversation around job displacement into job creation and opportunities.They dive into how the University of Tennessee is working with a variety of industry partners to empower the next generation entering the workforce, how this translates across industries and fields, and how being a lifelong learner is the way forward! Please note that the views expressed may not necessarily be those of NTT DATALinks: Caleb Knight AI TECHX 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.

Hello voices from the bench community, John Wilson here and I wanted to share some news about the evolution of the Programill lineup. Most importantly, Ivoclar's new PrograMill 7. What stands out right away is the reduced air consumption this mill requires, but what you'll notice first is that impressive new touchscreen. For us, the biggest advantage has been increased spindle power. My laboratory's known for these larger cases with complex geometries, and I can tell you that extra power really makes a difference. Next time you see your Ivoclar representative, be sure to ask about the PrograMill 7 and tell them John Wilson sent you. Thank you. At exocad Insights in beautiful Mallorca, we finally caught up with Felix from Imagine USA—and the timing couldn't have been better. As an exocad dealer on the front lines of digital dentistry, Felix shared his excitement about the strong turnout, the familiar faces, and most importantly, the innovation coming from exocad. What stood out most? The new exocad Hub and its cloud-based capabilities, along with powerful AI-driven tools inside DentalDB designed for efficient batch processing. For Felix and the Imagine team, it's not just about seeing what's new—it's about putting it to the test. By running new features through their own production facility first, they ensure real-world performance before bringing solutions to their customers. Beyond the technology, Felix emphasized the value of being there in person—connecting face-to-face with partners, having meaningful conversations, and stepping back to see where the industry is headed. And of course, doing it all in Mallorca doesn't hurt either. This week at the Dental Laboratory Association of Texas Meeting 2026, the microphones stayed hot as three completely different conversations all circled around the same thing: how fast the dental lab industry is evolving. First up, the crew sat down with Tony Aliatim from Axis Dental Milling to talk about going from biomedical engineering and printing silicone heart models for surgeons… to becoming one of the go-to names in dental milling. From industrial machining roots in Michigan to AI-powered calibration systems and Straumann plug-and-play workflows, Tony breaks down how VersaMill machines are helping labs mill everything from zirconia to implant abutments faster, smarter, and safer. Along the way, the conversation dives into HyperDent, trade show madness, wet vs dry milling nightmares, and why dental technicians may not realize how close this industry really is to aerospace-level manufacturing. Then things shifted from mills to maintenance with Rebekah Serrago and Chris Wilson from Garland Dental Services. What started decades ago as a garage-based repair business fixing handpieces has grown into one of the industry's best-kept secrets for equipment sales, service, and support. Rebekah shares the story of growing up folding flyers for her father's repair company before eventually becoming CEO and expanding Garland into a massive online sales and service operation supporting everything from ovens to mills. Chris joins in to talk preventative maintenance, service certifications, keeping ancient ovens alive, and why labs desperately need dealers that actually understand the equipment they sell. It's equal parts family-business story, repair shop wisdom, and hilarious behind-the-scenes dental lab banter. Finally, the future officially arrived when the podcast crew sat down with Antoine Coppens from Relu and orthodontic lab owner Christian Saurman of New England Orthodontic Laboratory. What started as four engineering students experimenting with AI in Belgium somehow turned into fully automated dental workflows capable of designing surgical guides, night guards, models, and restorations in minutes. The conversation explores how AI is reshaping lab workflows, reducing manual design time, integrating directly into LMS systems, and even learning individual lab preferences. Christian explains how his custom-built orthodontic lab management system helped eliminate workflow chaos and automate huge portions of production, while Antoine gives a fascinating look into where dental AI is headed next. Between AI-generated appliances, automated scan checks, and self-learning workflows, this episode feels less like science fiction and more like a preview of what labs will look like over the next five years.Special Guests: Antoine Coppens, Chris Wilson, Christian Saurman, Rebekah Serrago, and Tony Aliatim.

MeidasTouch host Ben Meiselas reports on breaking news from the day. Mack Weldon: Go to https://MackWeldon.com and get 20% OFF your first order of $125 or more, with promo code: MEIDAS NetSuite: Download the CFO's guide to Al and Machine Learning at https://Netsuite.com/meidas Make laundry day the best day of the week! Get 20% off your entire order @LaundrySauce with code MEIDAS20 at https://laundrysauce.com/MEIDAS20 #laundrysaucepod Remember to subscribe to ALL the MeidasTouch Network Podcasts: MeidasTouch: https://www.meidastouch.com/tag/meidastouch-podcast Legal AF: https://www.meidastouch.com/tag/legal-af MissTrial: https://meidasnews.com/tag/miss-trial The PoliticsGirl Podcast: https://www.meidastouch.com/tag/the-politicsgirl-podcast Cult Conversations: The Influence Continuum with Dr. Steve Hassan: https://www.meidastouch.com/tag/the-influence-continuum-with-dr-steven-hassan The Weekend Show: https://www.meidastouch.com/tag/the-weekend-show The Ken Harbaugh Show: https://meidasnews.com/tag/the-ken-harbaugh-show Majority 54: https://www.meidastouch.com/tag/majority-54 On Democracy with FP Wellman: https://www.meidastouch.com/tag/on-democracy-with-fpwellman Uncovered: https://www.meidastouch.com/tag/maga-uncovered Learn more about your ad choices. Visit megaphone.fm/adchoices