Branch of machine learning
POPULARITY
Categories
297 episodes with Deep learning
278 episodes with Deep learning
279 episodes with Deep learning
127 episodes with Deep learning
61 episodes with Deep learning
134 episodes with Deep learning
48 episodes with Deep learning
34 episodes with Deep learning
30 episodes with Deep learning
14 episodes with Deep learning
30 episodes with Deep learning
20 episodes with Deep learning
25 episodes with Deep learning
47 episodes with Deep learning
25 episodes with Deep learning
14 episodes with Deep learning
14 episodes with Deep learning
22 episodes with Deep learning
14 episodes with Deep learning
16 episodes with Deep learning
13 episodes with Deep learning
10 episodes with Deep learning
13 episodes with Deep learning
12 episodes with Deep learning
14 episodes with Deep learning
20 episodes with Deep learning
15 episodes with Deep learning
22 episodes with Deep learning
11 episodes with Deep learning
24 episodes with Deep learning
8 episodes with Deep learning
9 episodes with Deep learning
7 episodes with Deep learning
6 episodes with Deep learning
5 episodes with Deep learning
9 episodes with Deep learning
9 episodes with Deep learning
6 episodes with Deep learning
7 episodes with Deep learning
15 episodes with Deep learning
6 episodes with Deep learning
7 episodes with Deep learning
10 episodes with Deep learning
14 episodes with Deep learning
6 episodes with Deep learning
11 episodes with Deep learning
32 episodes with Deep learning
8 episodes with Deep learning
7 episodes with Deep learning
9 episodes with Deep learning
5 episodes with Deep learning
4 episodes with Deep learning
6 episodes with Deep learning
5 episodes with Deep learning
4 episodes with Deep learning
6 episodes with Deep learning
7 episodes with Deep learning
2 episodes with Deep learning
2 episodes with Deep learning
3 episodes with Deep learning
18 episodes with Deep learning
11 episodes with Deep learning
4 episodes with Deep learning
10 episodes with Deep learning
11 episodes with Deep learning
4 episodes with Deep learning
8 episodes with Deep learning
6 episodes with Deep learning
3 episodes with Deep learning
10 episodes with Deep learning
4 episodes with Deep learning
6 episodes with Deep learning
4 episodes with Deep learning
8 episodes with Deep learning
4 episodes with Deep learning
6 episodes with Deep learning
5 episodes with Deep learning
2 episodes with Deep learning
4 episodes with Deep learning
4 episodes with Deep learning
11 episodes with Deep learning
2 episodes with Deep learning
74 episodes with Deep learning
4 episodes with Deep learning
2 episodes with Deep learning
4 episodes with Deep learning
4 episodes with Deep learning
7 episodes with Deep learning
7 episodes with Deep learning
7 episodes with Deep learning
4 episodes with Deep learning
4 episodes with Deep learning
7 episodes with Deep learning
2 episodes with Deep learning
4 episodes with Deep learning
3 episodes with Deep learning
3 episodes with Deep learning
3 episodes with Deep learning
2 episodes with Deep learning
3 episodes with Deep learning
4 episodes with Deep learning
3 episodes with Deep learning
3 episodes with Deep learning
4 episodes with Deep learning
2 episodes with Deep learning
7 episodes with Deep learning
4 episodes with Deep learning
6 episodes with Deep learning
4 episodes with Deep learning
5 episodes with Deep learning
2 episodes with Deep learning
3 episodes with Deep learning
3 episodes with Deep learning
3 episodes with Deep learning
3 episodes with Deep learning
8 episodes with Deep learning
2 episodes with Deep learning
Fireflies CEO, Krish Ramineni shares how the company is transforming AI-powered note-taking into a deeper layer of knowledge automation. He breaks down the technology behind real-time functionality like Live Assist, the user behavior patterns driving product evolution, and how Fireflies is innovating far beyond meetings. Krish also shares insights on future trends in AI and the potential for hardware integration, emphasizing the ongoing evolution of AI in knowledge work.Featuring:Krish Ramineni – LinkedInChris Benson – Website, LinkedIn, Bluesky, GitHub, XDaniel Whitenack – Website, GitHub, XLinks:Fireflies AISponsors:Miro – Get the right things done faster with Miro's Innovation Workspace. AI Sidekicks, instant insights, and rapid prototyping—transform weeks of work into days. No more scattered docs or endless meetings. Help your teams get great done at [Miro](https://miro.com).Framer – Design and publish without limits with Framer, the free all-in-one design platform. Unlimited projects, no tool switching, and professional sites—no Figma imports or HTML hassles required. Start creating for free at [framer.com/design](https://www.framer.com/design/) with code `PRACTICALAI` for a free month of Framer Pro.Upcoming Events: Register for upcoming webinars here!
Au programme :Chez Apple, l'APRÈS-APRÈS Steve Jobs se prépareDes lunettes IA sans caméra ni haut parleur, ça vous dit?Le reste de l'actualité, avec le journal de l'IAInfos :Animé par Patrick Beja (Bluesky, Instagram, Twitter, TikTok).Co-animé par Jeff Clavier (Instagram, Twitter).Co-animé par Stéphane Le Boisselier (Instagram, Bluesky).Produit par Patrick Beja (LinkedIn) et Fanny Cohen Moreau (LinkedIn).Musique libre de droit par Daniel BejaLe Rendez-vous Tech épisode épisode 641 – Chez Apple, une chaussette peut cacher un Tim Cook---Liens :
Send us a textHow far can AI go in helping us diagnose disease—without losing the human judgment patients rely on?In this episode, I break down four studies shaping the future of digital pathology, oncology, and neurology. From spatial biology updates at SITC to voice-based Alzheimer's detection, deep learning for sarcoma prognosis, and new guidelines for safe AI deployment, this week's digest highlights where AI is making a real impact—and where caution still matters.Episode Highlights1️⃣ SITC Trends & Spatial Biology (00:00 → 07:40)I share key updates from SITC 2025, including the growing role of multiplex immunofluorescence (mIF) and the need for integrated staining-to-scanning workflows. I also preview new educational content and upcoming podcast guests in global AI research.2️⃣ Digital Neuropathology & Alzheimer's (07:40 → 13:01)A major review confirms that digital neuropathology is now robust enough for large-scale Alzheimer's studies—opening doors for computational tools to link histology with cognition.3️⃣ Patient Safety in AI (13:01 → 19:56)An Italian review underscores the foundations of trustworthy AI: dataset quality, transparency, oversight, and continuous validation. I discuss why “patient-centered AI” must remain our standard.4️⃣ Voice Biomarkers for Cognitive Decline (19:56 → 26:43)AI models analyzing short speech recordings are showing high accuracy for early Alzheimer's detection. This could make future screening simple, noninvasive, and more accessible.5️⃣ Deep Learning for Sarcoma Prognosis (34:06 → 35:59)A multi-instance CNN outperforms FNCLCC grading by identifying prognostic patterns in tumor center and periphery regions, offering new insights into soft-tissue sarcoma biology.TakeawaysmIF is maturing quickly but needs standardized, end-to-end workflows.Digital neuropathology is ready for broader Alzheimer's research.Safe AI requires multidisciplinary collaboration and rigorous validation.Voice biomarkers may become powerful tools for early cognitive assessment.Deep learning can refine prognosis and reveal hidden tumor patterns.ResourcesHamamatsu (MoxiePlex) • Biocare Medical (ONCORE Pro X) • SITC Programs • Recent publications on AI biomarkers and computational pathology.Thanks for listening—and for being part of this growing digital pathology community.Support the showGet the "Digital Pathology 101" FREE E-book and join us!
The Twenty Minute VC: Venture Capital | Startup Funding | The Pitch
Dr. Andrew Ng is a globally recognized leader in AI. He is Founder of DeepLearning.AI, Executive Chairman of LandingAI, General Partner at AI Fund, Chairman and Co-Founder of Coursera. As a pioneer in machine learning Andrew has authored or co-authored over 200 research papers in machine learning, robotics and related fields. In 2023, he was named to the Time100 AI list of the most influential AI persons in the world. Agenda: 03:19 What are the Biggest Bottlenecks in AI Today? 08:51 How LLMs Can Be Used as a Geopolitical Weapon 15:48 Should AI Talent Really Be Paid Billions? 29:07 Why is the Application Layer the Most Exciting Layer? 36:22 Do Margins Matter in a World of AI? 38:02 Is Defensibility Dead in a World of AI? 45:29 Will AI Deliver Masa Son's Predictions of 5% GDP Growth? 49:39 Are We in an AI Bubble? 57:31 Will Human Labour Budgets Shift to AI Spend?
LeCun, 65 anni, è considerato uno dei "Padrini del Deep Learning". La sua decisione di lasciare Meta per fondare una propria startup e perseguire i "world models" arriva mentre l'azienda di Mark Zuckerberg sta ristrutturando drasticamente le sue operazioni AI.00:00 Intro06:47 Convolutional Neural Network13:33 LeCun lascia Meta17:02 Conclusioni#meta #ai #deeplearning #lecun #convolutionalneuralnetworks
AI is redefining how we secure the cloud! In this episode, explore the most advanced AI-driven tools, frameworks, and trends that will dominate cloud security in 2026—from automated threat detection to intelligent governance and compliance systems.
Waymo's VP of Research, Drago Anguelov, joins Practical AI to explore how advances in autonomy, vision models, and large-scale testing are shaping the future of driverless technology. The conversation dives into the dual challenges of building an onboard driver and testing that driver (via large scale simulation). Drago also gives us an update on what Waymo is doing to achieve intelligent, real-time performance while ensuring proven safety and reliability.Featuring:Drago Anguelov – LinkedInChris Benson – Website, LinkedIn, Bluesky, GitHub, XDaniel Whitenack – Website, GitHub, XLinks:Waymo ResearchNew Insights for Scaling Laws in Autonomous DrivingAI in MotionSponsors: Outshift by Cisco - The open source collective building the Internet of Agents. Backed by Outshift by Cisco, AGNTCY gives developers the tools to build and deploy multi-agent software at scale. Identity, communication protocols, and modular workflows—all in one global collaboration layer. Start building at AGNTCY.org.Shopify – The commerce platform trusted by millions. From idea to checkout, Shopify gives you everything you need to launch and scale your business—no matter your level of experience. Build beautiful storefronts, market with built-in AI tools, and tap into the platform powering 10% of all U.S. eCommerce. Start your one-dollar trial at shopify.com/practicalaiFabi.ai - The all-in-one data analysis platform for modern teams. From ad hoc queries to advanced analytics, Fabi lets you explore data wherever it lives—spreadsheets, Postgres, Snowflake, Airtable and more. Built-in Python and AI assistance help you move fast, then publish interactive dashboards or automate insights delivered straight to Slack, email, spreadsheets or wherever you need to share it. Learn more and get started for free at fabi.aiUpcoming Events: Register for upcoming webinars here!
Digital intelligence is reshaping how organizations work, and success depends on integrating multiple domains, using real-time analytics, and ensuring strong cyber protections as data grows and risks increase This week, Dave, Esmee, and Rob talk with Chris Carter, Director - Key Accounts and Australia at BAE Systems Digital Intelligence, to explore the fast-moving world of digital intelligence, data, and analytics and dive into the complexities of the work, how rapidly the landscape is evolving, and the major challenges organizations face today. TLDR:00:41 Introduction of Chris Carter03:00 Rob is confused by the idea of renting out brain capacity for compute power07:13 Chris discusses the fusion of data, AI, and human judgment in complex environments34:30 Are we giving enough attention to human cognitive capacity?42:34 Rugby tickets with the family GuestChris Carter: https://www.linkedin.com/in/chriscarter3/ HostsDave Chapman: https://www.linkedin.com/in/chapmandr/Rob Kernahan: https://www.linkedin.com/in/rob-kernahan/Esmee van de Giessen: https://www.linkedin.com/in/esmeevandegiessen/ 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/ 'Cloud Realities' is an original podcast from Capgemini
Is AI Bigger Than the Discovery of Fire? (The Top 30 Questions: Part 1)"You have questions? I think I have the answers."I don't come from a technological background. I was an LAPD officer for 17 years and a Reserve for 5 more. I've been a Realtor in Santa Clarita since 1998. But you don't need to be a coder to see when the ground is shifting beneath your feet. We are looking at a shift that makes the Industrial Revolution look small.In this first installment of our new series, we are tackling The Top 30 Questions People Have About Artificial Intelligence. We are stripping away the sci-fi noise and getting down to the foundations.What exactly is AI?Think of it like that classic child's game with the wooden shapes and the corresponding holes.Old Computing (The Calculator Era): You take the child's hand and physically guide the square peg into the square hole. You are programming the specific action.Artificial Intelligence: You give the child the pegs and let them figure it out on their own. They fail, they learn, they recognize patterns, and eventually, they solve the puzzle faster than you can.That is where we are today. We aren't just calculating; we are simulating intelligence.In this episode, we cover:
Ever wondered what happens to your online accounts when you're gone?
Limbium es una empresa disruptiva dentro del sector Medtech que se dedica a la ortoprotésica, gracias a la aplicación de nuevas tecnologías como el diseño 3D, la fabricación aditiva o la programación de redes neuronales basadas en inteligencia artificial y Deep Learning. Alberto Martínez explica cómo es la dinámica del concurso Top101.
Dan and Chris unpack whether today's surge in AI deployment across enterprise workflows, manufacturing, healthcare, and scientific research signals a lasting transformation or an overhyped bubble. Drawing parallels to the dot-com era, they explore how technology integration is reshaping industries, affecting jobs, and even influencing human cognition, ultimately asking: is this a bubble, or just a fizzy new phase of innovation?Featuring:Chris Benson – Website, LinkedIn, Bluesky, GitHub, XDaniel Whitenack – Website, GitHub, XLinks: Powell says that, unlike the dotcom boom, AI spending isn't a bubble: ‘I won't go into particular names, but they actually have earnings'Sponsors:Outshift by Cisco - The open source collective building the Internet of Agents. Backed by Outshift by Cisco, AGNTCY gives developers the tools to build and deploy multi-agent software at scale. Identity, communication protocols, and modular workflows—all in one global collaboration layer. Start building at AGNTCY.org.Shopify – The commerce platform trusted by millions. From idea to checkout, Shopify gives you everything you need to launch and scale your business—no matter your level of experience. Build beautiful storefronts, market with built-in AI tools, and tap into the platform powering 10% of all U.S. eCommerce. Start your one-dollar trial at shopify.com/practicalaiFabi.ai - The all-in-one data analysis platform for modern teams. From ad hoc queries to advanced analytics, Fabi lets you explore data wherever it lives—spreadsheets, Postgres, Snowflake, Airtable and more. Built-in Python and AI assistance help you move fast, then publish interactive dashboards or automate insights delivered straight to Slack, email, spreadsheets or wherever you need to share it. Learn more and get started for free at fabi.aiUpcoming Events: Join us at the Midwest AI Summit on November 13 in Indianapolis to hear world-class speakers share how they've scaled AI solutions. Don't miss the AI Engineering Lounge, where you can sit down with experts for hands-on guidance. Reserve your spot today!Register for upcoming webinars here!
Au programme :Tesla va-t-elle vraiment payer 1000 milliards à Elon Musk?Amazon lance la guerre contre les navigateurs agentiquesGoogle donne à Epic tout ce qu'ils voulaient sur AndroidLe reste de l'actualité : news et rumeursInfos :Animé par Patrick Beja (Bluesky, Instagram, Twitter, TikTok).Co-animé par Cédric Ingrand (Twitter et Bluesky).Produit par Patrick Beja (LinkedIn) et Fanny Cohen Moreau (LinkedIn).Musique libre de droit par Daniel BejaLe Rendez-vous Tech épisode épisode 640 – Elon Musk va-t-il vraiment toucher 100 milliards de salaire?---Liens :
"A gente tem IA, tem machine learning dentro, tem deep learning dentro e dentro de deep learning tem a IA generativa. A quantidade de opções é tão grande que você precisa ter o mínimo de conhecimento de vários deles para saber os pontos fracos e fortes" No décimo segundo episódio do Hipsters.Talks, PAULO SILVEIRA , CVO do Grupo Alun, conversa com FELIPE TEODORO , diretor de Data Science da Kogui, sobre como escolher a ferramenta certa para cada problema: desde estatística básica até redes neurais complexas. Uma conversa que desmistifica o universo da IA e mostra quando usar (e quando NÃO USAR) cada técnica. Prepare-se para um episódio cheio de conhecimento e inspiração! Espero que aproveitem :) Sinta-se à vontade para compartilhar suas perguntas e comentários. Vamos adorar conversar com vocês!
In this second episode of the special AI mini-series, we now explore the human side of transformation, where technology meets purpose and people remain at the center. From future jobs and critical thinking to working with C-level leaders, how human intervention and high-quality data drive success in an AI-powered world.This week, Dave, Esmee, and Rob talk to Indhira Mani, CDO at Intact Insurance UK, about the Love for data, insights on leadership, resilience, and preparing the next generation for what's next. TLDR:01:30 Introduction of Indhira Mani and Scotch whisky05:45 Explaining the State of AI mini-series with Craig07:12 Conversation with Indi about her boyfriend called Data 38:33 Umbrella Sharing in Japan and the trust on AI45:15 The British Insurance Award and Women in Tech finalist GuestIndhira Mani: https://www.linkedin.com/in/indhira-mani-data/HostsDave Chapman: https://www.linkedin.com/in/chapmandr/Rob Kernahan: https://www.linkedin.com/in/rob-kernahan/Esmee van de Giessen: https://www.linkedin.com/in/esmeevandegiessen/with co-host Craig Suckling: https://www.linkedin.com/in/craigsuckling/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/ 'Cloud Realities' is an original podcast from Capgemini
Today's clip is from episode 144 of the podcast, with Maurizio Filippone.In this conversation, Alex and Maurizio delve into the intricacies of Gaussian processes and their deep learning counterparts. They explain the foundational concepts of Gaussian processes, the transition to deep Gaussian processes, and the advantages they offer in modeling complex data. The discussion also touches on practical applications, model selection, and the evolving landscape of machine learning, particularly in relation to transfer learning and the integration of deep learning techniques with Gaussian processes.Get the full discussion here.Intro to Bayes Course (first 2 lessons free)Advanced Regression Course (first 2 lessons free)Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work!Visit our Patreon page to unlock exclusive Bayesian swag ;)TranscriptThis is an automatic transcript and may therefore contain errors. Please get in touch if you're willing to correct them.
Au programme :Résultats financiers de la tech : 3 choses à retenirNvidia atteint $5000 milliards de capitalisationOpenAI devient une vraie société qui peut générer de vrais profitsLe reste de l'actualité : le robot Néo, la Cour de Justice Internationale va utiliser OpenDesk, Uber et les taxis robots, licenciements chez Amazon…Infos :Animé par Patrick Beja (Bluesky, Instagram, Twitter, TikTok).Co-animé par Cédric de Luca (Bluesky).Co-animé par Korben (site)Produit par Patrick Beja (LinkedIn) et Fanny Cohen Moreau (LinkedIn).Musique libre de droit par Daniel BejaLe Rendez-vous Tech épisode épisode 639 – OpenAI : le p*rno est-il d'intérêt général ?---Liens :
Sign up for Alex's first live cohort, about Hierarchical Model building!Get 25% off "Building AI Applications for Data Scientists and Software Engineers"Proudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch!Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work!Visit our Patreon page to unlock exclusive Bayesian swag ;)Takeaways:Why GPs still matter: Gaussian Processes remain a go-to for function estimation, active learning, and experimental design – especially when calibrated uncertainty is non-negotiable.Scaling GP inference: Variational methods with inducing points (as in GPflow) make GPs practical on larger datasets without throwing away principled Bayes.MCMC in practice: Clever parameterizations and gradient-based samplers tighten mixing and efficiency; use MCMC when you need gold-standard posteriors.Bayesian deep learning, pragmatically: Stochastic-gradient training and approximate posteriors bring Bayesian ideas to neural networks at scale.Uncertainty that ships: Monte Carlo dropout and related tricks provide fast, usable uncertainty – even if they're approximations.Model complexity ≠ model quality: Understanding capacity, priors, and inductive bias is key to getting trustworthy predictions.Deep Gaussian Processes: Layered GPs offer flexibility for complex functions, with clear trade-offs in interpretability and compute.Generative models through a Bayesian lens: GANs and friends benefit from explicit priors and uncertainty – useful for safety and downstream decisions.Tooling that matters: Frameworks like GPflow lower the friction from idea to implementation, encouraging reproducible, well-tested modeling.Where we're headed: The future of ML is uncertainty-aware by default – integrating UQ tightly into optimization, design, and deployment.Chapters:08:44 Function Estimation and Bayesian Deep Learning10:41 Understanding Deep Gaussian Processes25:17 Choosing Between Deep GPs and Neural Networks32:01 Interpretability and Practical Tools for GPs43:52 Variational Methods in Gaussian Processes54:44 Deep Neural Networks and Bayesian Inference01:06:13 The Future of Bayesian Deep Learning01:12:28 Advice for Aspiring Researchers
Dan and Chris sit down (again) with Jared Zoneraich, co-founder and CEO of PromptLayer, to discuss how prompt engineering has evolved into context engineering (and while loops with tool calls). Jared shares insights on building flexible AI applications, managing tool calls, testing and versioning prompts, and empowering both technical and non-technical users in AI development. Along the way, they dive into coding agents and the “crawl-walk-run” approach to AI deployment.Featuring: Jared Zoneraich – LinkedInChris Benson – Website, LinkedIn, Bluesky, GitHub, XDaniel Whitenack – Website, GitHub, XLinks:PromptLayerUpcoming Events: Join us at the Midwest AI Summit on November 13 in Indianapolis to hear world-class speakers share how they've scaled AI solutions. Don't miss the AI Engineering Lounge, where you can sit down with experts for hands-on guidance. Reserve your spot today!Register for upcoming webinars here!
Technology can scale almost everything—except human experience. In a world driven by efficiency, what does it mean to design for how people truly feel? It's about transforming user interactions into ongoing insight and innovation, rooted in empathy and understanding. This week, Dave, Esmee and Rob talk to Kevin Magee, Chief Technology Officer at All human about helping organizations transform customer experiences with a focus on design, engineering, and what is called "digital performance." TLDR:00:41 Introduction of Kevin Magee with Guinness or sparkling water?03:23 Rob wonders, is Apple really opening up its ecosystem?11:40 Deep dive with Kevin into design, engineering, and digital performance36:30 How tools built for one purpose can transform entire systems48:35 Weekend city breaks and pursuing a master's in psychology GuestKevin Magee: https://www.linkedin.com/in/kevinmagee/ HostsDave Chapman: https://www.linkedin.com/in/chapmandr/Rob Kernahan: https://www.linkedin.com/in/rob-kernahan/Esmee van de Giessen: https://www.linkedin.com/in/esmeevandegiessen/ 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/ 'Cloud Realities' is an original podcast from Capgemini
Artificial Intelligence isn't magic—it's built on powerful components working together to mimic human intelligence. In this episode, we break down the key pillars of AI, from machine learning to robotics, and explain how they combine to power the world's most advanced systems.
2B Bolder Podcast : Career Insights for the Next Generation of Women in Business & Tech
Curiosity is a gift—but it only turns into momentum when it's tied to impact. Host of the 2B Bolder Podcast, Mary Killelea, sits down with Carol Wilder, a strategic operator who helped launch the Alexa Skills Kit at Amazon, led generative AI partnerships at Dell, and now advises companies and municipalities on pragmatic AI adoption. Carol shares how aligning questions to concrete outcomes reshaped her career—and how that same shift can turn AI from a buzzword into a lever that reduces cycle time, improves resource utilization, and frees people to do higher‑order work.We trace her pivotal moments: choosing the right team under pressure to ship Alexa skills, learning to communicate with crisp, results‑first clarity, and reinventing after hard feedback by defining what to stand for. Carol explains why so many AI programs stall, starting with tools rather than business goals, and outlines a simple framework: pick the outcome, fix process debt, unify data, then layer intelligence. She also challenges the cost of mass layoffs, noting how creative friction, hallway collisions, and institutional memory are often the real engines of innovation.For women building careers in AI and product management, Carol offers direct, useful guidance: use automation to mute the noise, make impact legible, and build fundamentals in programming and model thinking through credible paths like Coursera and DeepLearning.AI. We explore mentorship as a multiplier, customer‑centricity as adopting a client's aspirations as your own, and the underrated power of showing up prepared, questions ready, network engaged, and confidence primed.If this conversation helps you refocus on outcomes and sharpen your AI strategy, share it with a friend, subscribe for more candid career playbooks, and leave a quick review to help others find the show.Resources: Carol Wilder on LinkedIn Company websites: productmuseai.ca & www.atomic47.co Hi Mary here, through my conversations with women leaders, I've learned just how urgent the need is for AI strategies that actually make sense. It's not about adopting tools just to keep up; it's about building a smart foundation. That's exactly what Beyondsoft is doing. To learn more visit https://www.youtube.com/playlist?list=PL-yCsEeZbsl6ivoZoS9YW1quYxbQr1Teo
Au programme :Samsung et Google ont annoncé le Samsung Galaxy XR, le concurrent du Vision Pro d'AppleOpenAI a lancé ChatGPT Atlas : est-ce qu'intégrer ChatGPT dans le navigateur suffira à concurrencer Chrome ?Le reste de l'actualité avec news et rumeurs : Grokipedia, l'effervescence (selon Guillaume) sur les sujets liés à Apple, Free TV, licenciements chez Amazon…Infos :Animé par Guillaume Vendé (Bluesky).Co-animé par Patrick Beja (Bluesky, Instagram, Twitter, TikTok).Produit par Patrick Beja (LinkedIn) et Fanny Cohen Moreau (LinkedIn).Musique libre de droit par Daniel BejaLe Rendez-vous Tech épisode épisode 638 – ChatGPT Atlas, Samsung Galaxy XR : nouvelles interfaces (mais c'est pas encore ça)---Liens :
An airhacks.fm conversation with Paul Sandoz (@paulsandoz) about: Devoxx conference experiences and Java's evolution over the past decade, energy efficiency studies comparing Java to C/Rust/Ada from 2017, Java performance improvements from Java 8 to Java 25, Code Reflection as manipulation of method bodies versus traditional reflection, tornadovm optimizations for GPU inference achieving 6-10x speedup over CPU, using pointers to keep data on GPUs avoiding transfer overhead, Metal support development for Apple Silicon, relationship between Project Babylon and TornadoVM, HAT project collaboration opportunities, Python's GPU performance through optimized NVIDIA libraries, enterprise challenges with Python in production versus Java's packaging simplicity, BLISS library for NumPy-like operations in Java, DJL.ai for tensor manipulation and Deep Learning, JTaccuino for Jupyter-style notebooks with JavaFX, MCP protocol implementation challenges with poor specification quality, minimal JSON API design philosophy for OpenJDK, cognitive overhead reduction in API design, pattern matching with JSON values, assertion-style API for fail-fast programming, JSON-P versus JSON-B trade-offs in enterprise applications, versioning challenges with data binding approaches, embedded HTTP server use cases for testing and development, JSON-java library as reference implementation, zero-dependency approach becoming more popular, Java 25 instance main methods with automatic java.base imports, zb zero-dependency builder project, marshalling and serialization rethinking in OpenJDK, trusted builds and dependency management in enterprise Java, comparison of Maven/Gradle complexity for simple projects, GPL licensing for OpenJDK code, the java.util.json experiment Paul Sandoz on twitter: @paulsandoz
In this fully connected episode, Daniel and Chris explore the emerging concept of tiny recursive networks introduced by Samsung AI, contrasting them with large transformer based models. They explore how these small models tackle reasoning tasks with fewer parameters, less data, and iterative refinement, matching the giants on specific problems. They also discuss the ethical challenges of emotional manipulation in chatbots.Featuring: Chris Benson – Website, LinkedIn, Bluesky, GitHub, XDaniel Whitenack – Website, GitHub, XLinks:Less is More: Recursive Reasoning with Tiny NetworksResearchers detail 6 ways chatbots seek to prolong ‘emotionally sensitive events'Sponsors:Outshift by Cisco - The open source collective building the Internet of Agents. Backed by Outshift by Cisco, AGNTCY gives developers the tools to build and deploy multi-agent software at scale. Identity, communication protocols, and modular workflows—all in one global collaboration layer. Start building at AGNTCY.org.Fabi.ai - The all-in-one data analysis platform for modern teams. From ad hoc queries to advanced analytics, Fabi lets you explore data wherever it lives—spreadsheets, Postgres, Snowflake, Airtable and more. Built-in Python and AI assistance help you move fast, then publish interactive dashboards or automate insights delivered straight to Slack, email, spreadsheets or wherever you need to share it. Learn more and get started for free at fabi.aiMiro – The innovation workspace for the age of AI. Built for modern teams, Miro helps you turn unstructured ideas into structured outcomes—fast. Diagramming, product design, and AI-powered collaboration, all in one shared space. Start building at miro.comUpcoming Events: Join us at the Midwest AI Summit on November 13 in Indianapolis to hear world-class speakers share how they've scaled AI solutions. Don't miss the AI Engineering Lounge, where you can sit down with experts for hands-on guidance. Reserve your spot today!Register for upcoming webinars here!
The skills we teach today will decide the world we live in tomorrow but the digital skills gap is something we've been dealing with for decades, but it's growing faster than ever, it starts with kids and stretches all the way into late IT careers, and now we're finally taking a more connected, lifelong approach to closing it. This week, Dave, Esmee, and Rob speak with Mike Nayler, Director, National Security, Defense & Public Safety at AWS about the digital skills gap and explore how tech companies can help close it. TLDR:00:45 Introduction of Mike Nayler and the pros and cons of enterprise architects, based on a survey03:30 Rob is confused about AI replacing prompt engineers07:55 Conversation with Mike on the digital skills gap25:15 The real gap is between institutions and the people they aim to serve33:24 Mike heading back to school and writing essays againGuest Mike Nayler: https://www.linkedin.com/in/nayler/ HostsDave Chapman: https://www.linkedin.com/in/chapmandr/Rob Kernahan: https://www.linkedin.com/in/rob-kernahan/Esmee van de Giessen: https://www.linkedin.com/in/esmeevandegiessen/ 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/ 'Cloud Realities' is an original podcast from Capgemini
In this episode, Luis talks with Jerrell Welch, Director of Operations at OKIE811, about what happens behind the scenes at the center. They dive into daily operations, teamwork, and leadership — and how it all comes together to keep things running smoothly. It's a great conversation that offers an inside look at the people making safe digging possible across Oklahoma.
Au programme :Sous pression, Instagram augmente la protection des comptes adoUne vidéo par IA d'un opposant qui lit un texte qui n'était qu'écrit… c'est mal ?Apple met à jour ses processeurs, mais prépare surtout un Mac tactileLe reste de l'actualitéInfos :Animé par Patrick Beja (Bluesky, Instagram, Twitter, TikTok).Co-animé par Marion Doumeingts (Instagram, Bluesky, Twitter).Produit par Patrick Beja (LinkedIn) et Fanny Cohen Moreau (LinkedIn).Musique libre de droit par Daniel BejaLe Rendez-vous Tech épisode épisode 637 – Les comptes ado d'Instagram deviennent ce qu'ils auraient du être---Liens :
As AI systems move from simple chatbots to complex agentic workflows, new security risks emerge. In this episode, Donato Capitella unpacks how increasingly complicated architectures are making agents fragile and vulnerable. These agents can be exploited through prompt injection, data exfiltration, and tool misuse. Donato shares stories from real-world penetration tests, the design patterns for building LLM agents and explains how his open-source toolkit Spikee (Simple Prompt Injection Kit for Evaluation and Exploitation) is helping red teams probe AI systems.Featuring:Donato Capitella – LinkedIn, XChris Benson – Website, LinkedIn, Bluesky, GitHub, XDaniel Whitenack – Website, GitHub, XLinks:ReversecSponsors:Outshift by Cisco - The open source collective building the Internet of Agents. Backed by Outshift by Cisco, AGNTCY gives developers the tools to build and deploy multi-agent software at scale. Identity, communication protocols, and modular workflows—all in one global collaboration layer. Start building at AGNTCY.org.Shopify – The commerce platform trusted by millions. From idea to checkout, Shopify gives you everything you need to launch and scale your business—no matter your level of experience. Build beautiful storefronts, market with built-in AI tools, and tap into the platform powering 10% of all U.S. eCommerce. Start your one-dollar trial at shopify.com/practicalaiFabi.ai - The all-in-one data analysis platform for modern teams. From ad hoc queries to advanced analytics, Fabi lets you explore data wherever it lives—spreadsheets, Postgres, Snowflake, Airtable and more. Built-in Python and AI assistance help you move fast, then publish interactive dashboards or automate insights delivered straight to Slack, email, spreadsheets or wherever you need to share it. Learn more and get started for free at fabi.aiUpcoming Events: Join us at the Midwest AI Summit on November 13 in Indianapolis to hear world-class speakers share how they've scaled AI solutions. Don't miss the AI Engineering Lounge, where you can sit down with experts for hands-on guidance. Reserve your spot today!Register for upcoming webinars here!
In 'Access All Areas' shows we go behind the scenes with the crew and their friends as they dive into complex challenges that organisations face—sometimes getting a little messy along the way. We're launching a special AI mini-series exploring how artificial intelligence is reshaping industries. Each episode dives into key themes like scaling AI, societal impact, leadership, sustainability, and the challenges ahead. Join us for fresh insights and bold conversations on the future of intelligent systems. This week, Dave, Esmee, and Rob kick off the AI mini-series with Craig Suckling, CAIO at Capgemini and co-host of this special edition. The episode is inspired by “Riding the AI Whirlwind,” Gartner's 2025 strategic predictions report, which urges organizations to act boldly on AI's potential while managing risks like rising costs and privacy concerns TLDR:00:40 – Introduction of Craig Suckling and launch of the AI mini-series02:38 – Summary of three key insights and strategic recommendations from Gartner's “Riding the AI Whirlwind” report23:03 – Strategic planning assumptions: what they mean for business and tech leaders41:40 – Sam Altman's top three concerns about the future of AI49:35 – What key topics remain unaddressed?51:00 – What to expect from the AI mini-series featuring industry leadersHostsDave Chapman: https://www.linkedin.com/in/chapmandr/Rob Kernahan: https://www.linkedin.com/in/rob-kernahan/Esmee van de Giessen: https://www.linkedin.com/in/esmeevandegiessen/with co-host Craig Suckling: https://www.linkedin.com/in/craigsuckling/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/ 'Cloud Realities' is an original podcast from Capgemini
Au programme :Shein annonce des boutiques en France et provoque un tolléContrôle de l'âge: début de consensus aux USChat Control: la loi anti chiffrement échoue à l'UE… pour le momentLe reste de l'actualité avec news et rumeurs : naissance en direct, Youtube, etcInfos :Animé par Patrick Beja (Bluesky, Instagram, Twitter, TikTok).Co-animé par Cédric Ingrand (Twitter et Bluesky).Co-animé par Laetitia Lamari (LinkedIn).Produit par Patrick Beja (LinkedIn) et Fanny Cohen Moreau (LinkedIn).Musique libre de droit par Daniel BejaLe Rendez-vous Tech épisode épisode 636 – Shein au BHV, le loup dans la bergerie ? – Boutiques Shein, Chat Control, contrôle de l'age, accouchement sur Twitch, seconde chance YouTube---Liens :
Daniel Volož, Country Manager DACH bei RTB House, spricht mit Christoph Burseg über die Welt des Programmatic Advertising im E-Commerce. RTB House ist ein Ad-Tech-Unternehmen, das eine auf Deep Learning basierende DSP (Demand Side Platform) zur Automatisierung des Werbeplatz-Einkaufs nutzt. Volož teilt seine Erfahrungen aus der dynamischen Retargeting-Branche, diskutiert die Herausforderungen des aktuellen E Commerce-Marktes und wagt einen Ausblick auf das intensive Q4-Geschäft. Er zieht zudem Vergleiche zwischen der digitalen Reife Deutschlands und Estlands. In dieser Episode erfährst du: ● Warum Estland Deutschland in der Digitalisierung (z. B. im Gesundheits- und Schulsystem) voraus ist und was Deutschland von dem 1,3-Millionen-Einwohner-Land lernen könnte. ● Wie RTB House mit Deep Learning Algorithmen produktbasiertes, dynamisches Retargeting für führende E-Commerceler umsetzt. ● Wie das Ad-Tech-Unternehmen es geschafft hat, trotz starkem Wettbewerb erfolgreich zu wachsen und namhafte Partner zu gewinnen. ● Warum Daniel Volož die Wertschöpfung in seinem Geschäft als 50% KI und 50% Mensch ansieht und die menschliche Komponente im People-Business nicht zu unterschätzen ist. ● Was das Q4 für E-Commerce-Unternehmen bedeutet: eine Verschiebung von reinen Weihnachtskäufen hin zu einem intensiven Zeitraum, der bereits Mitte Oktober mit hoher Rabattierung und kreativen Promotion-Strukturen beginnt. ● Warum Messen wie die DMEXCO in Zeiten von Remote Work wichtiger sind denn je, um Kunden zu sehen und Beziehungen zu pflegen. Christoph auf LinkedIn: https://www.linkedin.com/in/christophburseg Kontaktiere uns über Instagram: https://www.instagram.com/vodafonebusinessde/
Daniel sits down with Chelsea Linder, VP of Innovation and Entrepreneurship at TechPoint, to explore the what AI innovation and impact look like on the ground. They discuss Chelsea's journey from the VC world into economic development/ innovation, the growth of an AI innovation network in Indiana (funded by the SBA), lessons learned from fostering AI communities, and how businesses are actually adapting to AI. Chelsea also shares insights from Techpoints AI workforce impact study, which explored AI related job creation and levels of AI adoption among other things.Featuring:Chelsea Linder – LinkedIn Daniel Whitenack – Website, GitHub, XLinks: TechpointSponsors:Shopify – The commerce platform trusted by millions. From idea to checkout, Shopify gives you everything you need to launch and scale your business—no matter your level of experience. Build beautiful storefronts, market with built-in AI tools, and tap into the platform powering 10% of all U.S. eCommerce. Start your one-dollar trial at shopify.com/practicalaiFabi.ai - The all-in-one data analysis platform for modern teams. From ad hoc queries to advanced analytics, Fabi lets you explore data wherever it lives—spreadsheets, Postgres, Snowflake, Airtable and more. Built-in Python and AI assistance help you move fast, then publish interactive dashboards or automate insights delivered straight to Slack, email, spreadsheets or wherever you need to share it.Learn more and get started for free at fabi.aiUpcoming Events: Join us at the Midwest AI Summit on November 13 in Indianapolis to hear world-class speakers share how they've scaled AI solutions. Don't miss the AI Engineering Lounge, where you can sit down with experts for hands-on guidance. Reserve your spot today!Register for upcoming webinars here!
The evolving role of technology in modern defense environments, highlighting innovations in communications, automation, and open-source frameworks. Drawing from personal experience, the conversation emphasizes how real-world conflicts are reshaping how tech is deployed, adopted, and understood across military operations. This week, Dave, Esmee, and Rob speak with Ben Sparke, Enterprise Azure Cloud & AI Specialist for UK Defence at Microsoft, about how his military background informs a human-centered approach to technology in the evolving defence sector—highlighting the shift from mission-driven to tech-driven innovation. TLDR:00:37 – Introduction of Ben Sparke and face-to-face podcasting02:40 – Rob gets confused about Digital Twins representing you in court08:15 – Tech's evolving role in defence, with Ben 34:41 – Why improvisation and human adaptability matter 43:30 – Ben's hundred-mile bike race over the weekend Guest Ben Sparke: https://www.linkedin.com/in/ben-sparke/ HostsDave Chapman: https://www.linkedin.com/in/chapmandr/Rob Kernahan: https://www.linkedin.com/in/rob-kernahan/Esmee van de Giessen: https://www.linkedin.com/in/esmeevandegiessen/ 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/ 'Cloud Realities' is an original podcast from Capgemini
Au programme :OpenAI: Instant Checkout permet à ChatGPT de faire des achatsCameo: le coup de génie d'OpenAI dans la génération vidéoAvec les Apps, OpenAI ouvre ChatGPT à toute la techLe reste de l'actualitéInfos :Animé par Patrick Beja (Bluesky, Instagram, Twitter, TikTok).Co-animé par Jérôme Keinborg (Bluesky)Produit par Patrick Beja (LinkedIn) et Fanny Cohen Moreau (LinkedIn).Musique libre de droit par Daniel BejaLe Rendez-vous Tech épisode 635 - Avec trois produits majeurs, OpenAI confirme son avance sur l'industrie---Liens :
Proudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch!Get early access to Alex's next live-cohort courses!Intro to Bayes Course (first 2 lessons free)Advanced Regression Course (first 2 lessons free)Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work!Visit our Patreon page to unlock exclusive Bayesian swag ;)Takeaways:BART as a core tool: Gabriel explains how Bayesian Additive Regression Trees provide robust uncertainty quantification and serve as a reliable baseline model in many domains.Rust for performance: His Rust re-implementation of BART dramatically improves speed and scalability, making it feasible for larger datasets and real-world IoT applications.Strengths and trade-offs: BART avoids overfitting and handles missing data gracefully, though it is slower than other tree-based approaches.Big data meets Bayes: Gabriel shares strategies for applying Bayesian methods with big data, including when variational inference helps balance scale with rigor.Optimization and decision-making: He highlights how BART models can be embedded into optimization frameworks, opening doors for sequential decision-making.Open source matters: Gabriel emphasizes the importance of communities like PyMC and Bambi, encouraging newcomers to start with small contributions.Chapters:05:10 – From economics to IoT and Bayesian statistics18:55 – Introduction to BART (Bayesian Additive Regression Trees)24:40 – Re-implementing BART in Rust for speed and scalability32:05 – Comparing BART with Gaussian Processes and other tree methods39:50 – Strengths and limitations of BART47:15 – Handling missing data and different likelihoods54:30 – Variational inference and big data challenges01:01:10 – Embedding BART into optimization and decision-making frameworks01:08:45 – Open source, PyMC, and community support01:15:20 – Advice for newcomers01:20:55 – Future of BART, Rust, and probabilistic programmingThank you to my Patrons for making this episode possible!Yusuke Saito, Avi Bryant, Ero Carrera, Giuliano Cruz, James Wade, Tradd Salvo, William Benton, James Ahloy, Robin Taylor,, Chad Scherrer, Zwelithini Tunyiswa, Bertrand Wilden, James Thompson, Stephen Oates, Gian Luca Di Tanna, Jack Wells, Matthew Maldonado, Ian...
Before Siri had sass and Alexa started judging your music taste, the original virtual assistant was quietly revolutionizing the '90s—powered by many patents and a whole lot of foresight. Now, as AI goes from buzzword to boss, we ask, will it transform your job, your home… or just steal your knowledge? This week, Dave, Esmee and Rob speak with Kevin Surace, Futurist, Inventor & "Father" of the Virtual Assistant, about exploring the evolution of AI, what the future might hold, and how disruptive innovation can shake up your organization in ways you might not expect. TLDR: 00:40 – Introduction of Kevin Surace 05:12 – Rob gets confused by Google Maps reviews and selfies 08:15 – Deep dive into the evolution of AI with Kevin 52:00 – How intelligent agents can help manage digital noise and support mental well-being 1:07:30 – Wrapping up the book the Joy Success Cycle and heading to a concert GuestKevin Surace: https://www.linkedin.com/in/ksurace/ HostsDave Chapman: https://www.linkedin.com/in/chapmandr/Rob Kernahan: https://www.linkedin.com/in/rob-kernahan/Esmee van de Giessen: https://www.linkedin.com/in/esmeevandegiessen/ 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/ 'Cloud Realities' is an original podcast from Capgemini
Cette semaine je lance un nouveau format premium pour le RDV Tech ! Chaque trimestre je vous proposerai un épisode qui fera un état des lieux des grandes tendances de l'industrie et de ce que je vois dans ma veille, à l'horizon de quelques mois ou de l'année plutôt que celui du quotidien ou de la semaine. L'idée est de fournir une vision complémentaire de l'actu, qui vous permettra de mieux appréhender les évolutions réelles de l'industrie, ainsi que la manière dont elles influencent nos sociétés. A trop avoir la tête dans le guidon, on peut rater un bus qui déboule, pourrait-on dire. :)Au programme :Les grandes tendances :Autonomie stratégique (disponible pour tous)Contrôle de l'âge sur Internet (réservé aux patreotes)Montée en puissance de l'IA (réservé aux patreotes)Tendances émergeantes (réservé aux patreotes)Infos :Animé par Patrick Beja (Bluesky, Instagram, Twitter, TikTok).Produit par Patrick Beja (LinkedIn) et Fanny Cohen Moreau (LinkedIn).Musique libre de droit par Daniel BejaLe Rendez-vous Tech épisode 634 – État des Lieux – sept 2025---Liens :
Longtime friend of the show Rajiv Shah returns to unpack lessons from a year of building retrieval-augmented generation (RAG) pipelines and reasoning models integrations. We dive into why so many AI pilots stumble, why evaluation and error analysis remain essential data science skills, and why not every enterprise challenge calls for a large language model.Featuring:Rajiv Shah – LinkedIn Daniel Whitenack – Website, GitHub, XUpcoming Events: Join us at the Midwest AI Summit on November 13 in Indianapolis to hear world-class speakers share how they've scaled AI solutions. Don't miss the AI Engineering Lounge, where you can sit down with experts for hands-on guidance. Reserve your spot today!Register for upcoming webinars here!
Christianity is sometimes branded as anti-intellectual, and its followers labelled unteachable. But in an increasingly divided age, the church - with its rich history of learning - might be able to help the world recover what it means to have a teachable spirit … and to know who to learn from.(00:00) - - How we learn (04:17) - - Teachability (10:44) - - Humility in learning (16:00) - - Is faith a block to thinking critically? (20:58) - - Combating fear with knowledge (28:36) - - Learning from strangers (33:10) - - Learning from the dead (46:26) - - Learning from our enemies (56:33) - - Five Minute Jesus (01:03:56) - - Why learn from Christians? CREDITS Undeceptions is hosted by John Dickson, produced by Kaley Payne and directed by Mark Hadley. Alasdair Belling is a writer-researcher.Siobhan McGuiness is our online librarian. Lyndie Leviston remains John's wonderful assistant. Santino Dimarco is Chief Finance and Operations Consultant. Editing by Richard Hamwi.Our voice actor for this episode was Suzanne Ellis.Special thanks to our series sponsor Zondervan for making this Undeception possible. Undeceptions is the flagship podcast of Undeceptions.com - letting the truth out.
We're back! In this Season 5 premiere, the team reunites after their summer break to kick off an exciting new chapter. Join us as we catch up, share bold predictions for the year ahead, and explore big questions, like whether 2026 will be the year of the autonomous organization. Expect candid reflections, lively discussion, and a sneak peek at what's coming up this season. We are very keen this season to establish a feedback loop with listeners, so will be doing shows exploring listener questions and challenges - something we are really looking forward to. Please get in touch with us, via LinkedIn, Substack or cloudrealities@capgemini.com, if you have questions or challenges for us, we'd love to hear from you!TLDR: 00:20 – We're back! 00:35 – Catching up on what we did during the summer break 10:48 – Planning ahead until Christmas: Microsoft Ignite, AWS re:Invent, an AI mini-series and cool guests 20:27 – Tech talk: iPhone 17, deep democracy training, and the human impact of innovation 32:10 – Will autonomous organizations powered by agents emerge within 12–18 months? 40:45 – Reflections inspired by Jaws, climbing adventures, and Bruce Springsteen HostsDave Chapman: https://www.linkedin.com/in/chapmandr/Rob Kernahan: https://www.linkedin.com/in/rob-kernahan/Esmee van de Giessen: https://www.linkedin.com/in/esmeevandegiessen/ 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/ 'Cloud Realities' is an original podcast from Capgemini
In this episode, Daniel and Chris are joined by Chris Aquino, software engineer at Thunderbird to hear the story of how they developed a privacy-preserving AI executive assistant. They discuss various design decisions including remote (but confidential) inference, local encryption, and model selection. Chris A. does an amazing job describing the journey from "let the big LLM do everything" to splitting apart the workflow to be handled by multiple models. Featuring:Chris Aquino – LinkedInChris Benson – Website, LinkedIn, Bluesky, GitHub, XDaniel Whitenack – Website, GitHub, XLinks: ThunderbirdThunderbird ProSponsors:Shopify – The commerce platform trusted by millions. From idea to checkout, Shopify gives you everything you need to launch and scale your business—no matter your level of experience. Build beautiful storefronts, market with built-in AI tools, and tap into the platform powering 10% of all U.S. eCommerce.Start your one-dollar trial at shopify.com/practicalaiUpcoming Events: Join us at the Midwest AI Summit on November 13 in Indianapolis to hear world-class speakers share how they've scaled AI solutions. Don't miss the AI Engineering Lounge, where you can sit down with experts for hands-on guidance. Reserve your spot today!Register for upcoming webinars here!
Au programme :iPhone 17, Air et Pro: le plein de bonnes surprisesMeta présente ses premières lunettes IA avec écranYouTube veut aider tout le monde à devenir créateurLe reste de l'actualité: visas H-1B, TikTok US…Infos :Animé par Patrick Beja (Bluesky, Instagram, Twitter, TikTok).Co-animé par Guillaume Vendé (Bluesky).Produit par Patrick Beja (LinkedIn) et Fanny Cohen Moreau (LinkedIn).Musique libre de droit par Daniel BejaLe Rendez-vous Tech épisode 633 – Tout est du contenu, tout le monde est créateur – iPhone 17, Meta Ray Ban Display, YouTube Summit, TikTok US, visa H-1B---Liens :
Professor Andrew Wilson from NYU explains why many common-sense ideas in artificial intelligence might be wrong. For decades, the rule of thumb in machine learning has been to fear complexity. The thinking goes: if your model has too many parameters (is "too complex") for the amount of data you have, it will "overfit" by essentially memorizing the data instead of learning the underlying patterns. This leads to poor performance on new, unseen data. This is known as the classic "bias-variance trade-off" i.e. a balancing act between a model that's too simple and one that's too complex.**SPONSOR MESSAGES**—Tufa AI Labs is an AI research lab based in Zurich. **They are hiring ML research engineers!** This is a once in a lifetime opportunity to work with one of the best labs in EuropeContact Benjamin Crouzier - https://tufalabs.ai/ —Take the Prolific human data survey - https://www.prolific.com/humandatasurvey?utm_source=mlst and be the first to see the results and benchmark their practices against the wider community!—cyber•Fund https://cyber.fund/?utm_source=mlst is a founder-led investment firm accelerating the cybernetic economyOct SF conference - https://dagihouse.com/?utm_source=mlst - Joscha Bach keynoting(!) + OAI, Anthropic, NVDA,++Hiring a SF VC Principal: https://talent.cyber.fund/companies/cyber-fund-2/jobs/57674170-ai-investment-principal#content?utm_source=mlstSubmit investment deck: https://cyber.fund/contact?utm_source=mlst— Description Continued:Professor Wilson challenges this fundamental belief (fearing complexity). He makes a few surprising points:**Bigger Can Be Better**: massive models don't just get more flexible; they also develop a stronger "simplicity bias". So, if your model is overfitting, the solution might paradoxically be to make it even bigger.**The "Bias-Variance Trade-off" is a Misnomer**: Wilson claims you don't actually have to trade one for the other. You can have a model that is incredibly expressive and flexible while also being strongly biased toward simple solutions. He points to the "double descent" phenomenon, where performance first gets worse as models get more complex, but then surprisingly starts getting better again.**Honest Beliefs and Bayesian Thinking**: His core philosophy is that we should build models that honestly represent our beliefs about the world. We believe the world is complex, so our models should be expressive. But we also believe in Occam's razor—that the simplest explanation is often the best. He champions Bayesian methods, which naturally balance these two ideas through a process called marginalization, which he describes as an automatic Occam's razor.TOC:[00:00:00] Introduction and Thesis[00:04:19] Challenging Conventional Wisdom[00:11:17] The Philosophy of a Scientist-Engineer[00:16:47] Expressiveness, Overfitting, and Bias[00:28:15] Understanding, Compression, and Kolmogorov Complexity[01:05:06] The Surprising Power of Generalization[01:13:21] The Elegance of Bayesian Inference[01:33:02] The Geometry of Learning[01:46:28] Practical Advice and The Future of AIProf. Andrew Gordon Wilson:https://x.com/andrewgwilshttps://cims.nyu.edu/~andrewgw/https://scholar.google.com/citations?user=twWX2LIAAAAJ&hl=en https://www.youtube.com/watch?v=Aja0kZeWRy4 https://www.youtube.com/watch?v=HEp4TOrkwV4 TRANSCRIPT:https://app.rescript.info/public/share/H4Io1Y7Rr54MM05FuZgAv4yphoukCfkqokyzSYJwCK8Hosts:Dr. Tim Scarfe / Dr. Keith Duggar (MIT Ph.D)REFS:Deep Learning is Not So Mysterious or Different [Andrew Gordon Wilson]https://arxiv.org/abs/2503.02113Bayesian Deep Learning and a Probabilistic Perspective of Generalization [Andrew Gordon Wilson, Pavel Izmailov]https://arxiv.org/abs/2002.08791Compute-Optimal LLMs Provably Generalize Better With Scale [Marc Finzi, Sanyam Kapoor, Diego Granziol, Anming Gu, Christopher De Sa, J. Zico Kolter, Andrew Gordon Wilson]https://arxiv.org/abs/2504.15208
Dave, Esmee, and Rob are strapping in for another season of bold, brain-bending conversations—and they're bringing the flux capacitor with them from Back to the Future.Season 5 beams in global leaders and innovators who challenge how we think about technology, business, and humanity. From AI disruption to digital sovereignty, from leadership to culture—this season's guests are ready to shake things up.Our first full episode drops on September 25, but before we hit 88 miles per hour, here's a quick trailer to set the timeline straight, or at least bend it a little.HostsDave Chapman: https://www.linkedin.com/in/chapmandr/Rob Kernahan: https://www.linkedin.com/in/rob-kernahan/Esmee van de Giessen: https://www.linkedin.com/in/esmeevandegiessen/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/'Cloud Realities' is an original podcast from Capgemini
Au programme :La meilleure annonce d'Apple est une camera carréeUne IA devient ministre en Albanie (ce n'est pas une blague)En Suisse, le gouvernement propose de tuer la vie privéeLe reste de l'actualitéInfos :Animé par Patrick Beja (Bluesky, Instagram, Twitter, TikTok).Co-animé par Marion Doumeingts (Instagram, Bluesky, Twitter).Co-animé par Jeff Clavier (Instagram, Twitter).Produit par Patrick Beja (LinkedIn) et Fanny Cohen Moreau (LinkedIn).Musique libre de droit par Daniel BejaLe Rendez-vous Tech épisode 632 – Apple annonce un lineup plus solide qu'éblouissant---Liens :
Nick Tammaro and PTF lead off with stakes analysis from Woodbine and Churchill Downs. Where does Notable Speech fit in the BC Mile picture? Is Bentornato a good bet in the Sprint? Where will be see Deep Learning and Teddy's Rocket next? They answer these questions and many more.Next up, Goffs USA agent Jacob West joins PTF and they talk about the general positive health of the industry from a breeding and sales side and look ahead to the Goffs Orby sale and the myriad opportunities afforded to the buyers who shop there, We also get an update on some of the impressive two-year-olds and BC Classic contenders (Fierceness, Mindframe), Jacob is associated with through his role on the Repole bloodstock team.
Nick Tammaro and PTF lead off with stakes analysis from Woodbine and Churchill Downs. Where does Notable Speech fit in the BC Mile picture. Is Bentornato a good bet in the Sprint? Where will be see Deep Learning and Teddy's Rocket next? They answer these questions and many more.Next up, Goffs USA agent Jacob West joins PTF and they talk about the general positive health of the industry from a breeding and sales side and look ahead to the Goffs Orby sale and the myriad opportunities afforded to the buyers who shop there, We also get an update on some of the impressive two-year-olds and BC Classic contenders (Fierceness, Mindframe), Jacob is associated with through his role on the Repole bloodstock team.
© 2020-2025 Ivy Podcast Discovery LLC
