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Loïc Houssier, Head of Engineering at Superhuman, joins us to discuss how AI and LLMs are reshaping the email experience. He highlights challenges related to the variability of user prompts and infrastructure optimization. Loïc emphasizes that a deep focus on user experience and real human workflows is key to building AI tools people actually love to use.Featuring:Loïc Houssier – LinkedInChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XLinks:SuperhumanReferral Code for a Free monthSponsors:Outshift by Cisco – AGNTCY is an open source collective building the Internet of Agents. It's a collaboration layer where AI agents can communicate, discover each other, and work across frameworks. For developers, this means standardized agent discovery tools, seamless protocols for inter-agent communication, and modular components to compose and scale multi-agent workflows.
Au programme :Microsoft accélère l'intégration de l'IA agentique à WindowsGrok met en lumière l'importance des "system prompts"Entretiens d'embauche par IA: du vrai au fauxLe reste de l'actualitéInfos :Animé par Patrick Beja (Bluesky, Instagram, Twitter, TikTok)Co-animé par Damien Licata Caruso (Bluesky).Co-animé par Titouan Gourlin (Bluesky)Produit par Patrick Beja (LinkedIn) et Fanny Cohen Moreau (LinkedIn).Musique libre de droit par Musicincloud.Le Rendez-vous Tech épisode 619 - Les entretiens d'embauche par IA, what could go wrong? - Microsoft Build, Grok sur GitHub, Samsung Galaxy Edge, Computex, Audible par IA, Tesla sur l'Étoile---Liens :
In this episode of Project Synapse, hosts Marcel Gagne, John Pinard, and Jim Love dive deep into the world of artificial intelligence. They discuss the origins and development of AI, touching on early systems like GOFAI and the transition to modern machine learning and deep learning techniques. The podcast also explores potential societal impacts, such as job displacement and the need for a new socioeconomic framework to address these changes. The trio also touches on existential questions, including AI consciousness, intelligence, and the ethical considerations we must face as AI continues to evolve. This comprehensive discussion is aimed at helping listeners understand the complexities and future implications of AI technology. 00:00 Introduction to Project Synapse 00:19 Meet the Hosts 01:43 AI and Barbecue Conversations 03:22 Explaining AI to a Novice 03:59 Historical Context of AI 11:31 Modern AI and Machine Learning 15:03 Deep Learning and Neural Networks 29:10 Emergent Properties and AI 31:32 AI in the Corporate World 41:45 The Hallucination Debate 41:59 Picasso's Perspective on Computers 42:55 The Hybrid Model of AI 43:33 Early AI and Engineering Principles 44:19 Human Memory vs AI Accuracy 47:53 The Future of AI and Human Jobs 49:30 AI and Global Security Concerns 54:20 The Fermi Paradox and AI Evolution 01:00:16 The Impact of AI on Employment 01:03:33 Preparing for an AI-Driven Future 01:14:01 Concluding Thoughts and Viewer Engagement
I, Stewart Alsop, welcomed Woody Wiegmann to this episode of Crazy Wisdom, where we explored the fascinating and sometimes unsettling landscape of Artificial Intelligence. Woody, who is deeply involved in teaching AI, shared his insights on everything from the US-China AI race to the radical transformations AI is bringing to education and society at large.Check out this GPT we trained on the conversationTimestamps01:17 The AI "Cold War": Discussing the intense AI development race between China and the US.03:04 Opaque Models & Education's Resistance: The challenge of opaque AI and schools lagging in adoption.05:22 AI Blocked in Schools: The paradox of teaching AI while institutions restrict access.08:08 Crossing the AI Rubicon: How AI users are diverging from non-users into different realities.09:00 Budgetary Constraints in AI Education: The struggle for resources like premium AI access for students.12:45 Navigating AI Access for Students: Woody's ingenious workarounds for the premium AI divide.19:15 Igniting Curiosity with AI: Students creating impressive projects, like catapult websites.27:23 Exploring Grok and AI Interaction: Debating IP concerns and engaging with AI ("Morpheus").46:19 AI's Societal Impact: AI girlfriends, masculinity, and the erosion of traditional skills.Key InsightsThe AI Arms Race: Woody highlights a "cold war of nerdiness" where China is rapidly developing AI models comparable to GPT-4 at a fraction of the cost. This competition raises questions about data transparency from both sides and the strategic implications of superintelligence.Education's AI Resistance: I, Stewart Alsop, and Woody discuss the puzzling resistance to AI within educational institutions, including outright blocking of AI tools. This creates a paradox where courses on AI are taught in environments that restrict its use, hindering practical learning for students.Diverging Realities: We explore how individuals who have crossed the "Rubicon" of AI adoption are now living in a vastly different world than those who haven't. This divergence is akin to past technological shifts but is happening at an accelerated pace, impacting how people learn, work, and perceive reality.The Fading Relevance of Traditional Coding: Woody argues that focusing on teaching traditional coding languages like Python is becoming outdated in the age of advanced AI. AI can handle much of the detailed coding, shifting the necessary skills towards understanding AI systems, effective prompting, and higher-level architecture.AI as the Ultimate Tutor: The advent of AI offers the potential for personalized, one-on-one tutoring for everyone, a far more effective learning method than traditional classroom lectures. However, this potential is hampered by institutional inertia and a lack of resources for tools like premium AI subscriptions for students.Curiosity as the AI Catalyst: Woody shares anecdotes of students, even those initially disengaged, whose eyes light up when using AI for creative projects, like designing websites on niche topics such as catapults. This demonstrates AI's power to ignite curiosity and intrinsic motivation when paired with focused goals and the ability to build.AI's Impact on Society and Skills: We touch upon the broader societal implications, including the rise of AI girlfriends addressing male loneliness and providing acceptance. Simultaneously, there's concern over the potential atrophy of critical skills like writing and debate if individuals overly rely on AI for summarization and opinion generation without deep engagement.Contact Information* Twitter/X: @RulebyPowerlaw* Listeners can search for Woody Wiegmann's podcast "Courage over convention" * LinkedIn: www.linkedin.com/in/dataovernarratives/
In this enlightening episode of the Getting Smart Podcast, Tom Vander Ark and Dr. Kaleb Rashad engage in a thought-provoking dialogue with Dr. Michael Fullan, an internationally acclaimed advocate for deeper learning. Together, they explore whether deeper learning is the key to addressing the challenges and opportunities presented by the new age of AI. Dr. Fullan introduces the concept of "systemness," emphasizing the need for systemic change over isolated educational initiatives. The conversation covers the transformative progress in Anaheim, driven by the integration of systemness and the five Cs of compassionate learning. Tune in to discover how AI can be a powerful accelerator for education when underpinned by a strong pedagogical and cultural foundation, and what it means to cultivate spirit work in learning environments. This episode is a must-listen for educators, administrators, and anyone interested in the future of education and AI's role in it. Outline (00:00) Introduction to Deep Learning and AI (02:30) Systemness: The Key to Educational Transformation (05:55) Challenges and Successes in Anaheim (08:52) The Impact of PISA and System Change (10:13) Bottom-Up Change: Building Capacity from the Ground Up (14:45) The Five Elements of Systemness (17:30) AI in Education: Opportunities and Cautions (21:14) Spirit Work and Collaboration (31:35) Nuance in Leadership Links Watch the video here Read the full blog Kaleb Rashad Linked In Michael Fullan Press Kit Michael's Books Mentioned In This Episode Leading in a Culture of Change The New Meaning of Educational Change 6th Edition Nuance: Why Some Leaders Succeed and Others Fail Coherence eKadence Education Reimaged The Creation of Settings and the Future Societies Getting Beyond Better offers a primer for social entrepreneurs Humility is the New Smart Michael Fullan Sees Global Momentum for Deep Learning
Neste episódio do Product Guru's, Paulo Chiodi recebe Cezar Taurion, um dos maiores especialistas em inteligência artificial do Brasil, para uma conversa profunda e provocadora sobre o uso consciente e estratégico da IA nas empresas. Com décadas de experiência no setor de tecnologia, Taurion compartilha sua visão crítica sobre o hype em torno da IA generativa, os desafios da governança de dados, os riscos de decisões automatizadas e as falácias do "AI First" nas corporações.A conversa aborda também o impacto da IA em estruturas organizacionais, as áreas que mais se beneficiarão ou sofrerão com essa transformação, e o que executivos e empresas precisam dominar para se manterem competitivos. Se você quer entender como aplicar IA de forma prática, responsável e com impacto real nos negócios, este episódio é obrigatório./// Recado Importante: O futuro dos produtos digitais já começou e a Inteligência Artificial é parte do time.A PM3 acaba de lançar a Formação em Gestão de Produtos de IA: um curso pensado para Product Managers que querem criar, delegar e inovar com mais inteligência.Muito além dos prompts: você vai aprender a liderar produtos baseados em IA, dominar temas como Machine Learning, Deep Learning e IA Generativa, e aplicar novas formas de discovery, experimentação e validação.Prepare-se para o mercado que mais cresce no mundo e torne-se o PM que lidera a transformação.Acesse o link e saiba mais: https://go.pm3.com.br/Podcast-PG-NovaEra/// Onde encontrar os convidados:Cezar Taurion | Chief Strategy Officer @ Mobili Partners / Founder & Chief Executive Officer (CEO) @ Ananquehttps://www.linkedin.com/in/ctaurion/// Nesse episódio abordamos:• IA não é inteligente — apenas simula inteligência humana com matemática.• Alucinações são respostas plausíveis, mas incorretas, geradas por modelos probabilísticos.• O sucesso do ChatGPT se deve à interface simples, não à tecnologia revolucionária.• O hype da IA é amplificado por redes sociais e bolhas digitais.• “Powered by AI” pode prejudicar a confiança do consumidor, segundo estudos.• A governança de dados é o pré-requisito número um para aplicar IA com sucesso.• A maioria das empresas está perdida ao tentar adotar IA generativa.• IA deve apoiar decisões humanas, não substituí-las.• Aplicações eficazes de IA variam por setor e exigem dados bem estruturados.• Mudanças causadas pela IA serão graduais, como todas as transformações tecnológicas anteriores./// Capítulos00:00 Introdução01:37 O que são alucinações em IA04:38 IA generativa vs ondas anteriores de tecnologia09:24 Por que o hype da IA explodiu com o ChatGPT11:32 IA como interface e ferramenta de marketing15:06 Estudos mostram que “IA” pode gerar desconfiança19:05 IA não é solução para tudo22:22 Probabilidade vs factualidade em modelos de IA24:30 Fluência vs acurácia em LLMs27:12 O que define uma empresa madura digitalmente29:20 “AI First” e os erros mais comuns nas empresas32:43 Governança de dados: o verdadeiro começo da IA36:09 Caso real: manutenção preditiva em máquinas agrícolas39:47 Onde falha a governança de dados nas empresas41:50 A IA deve apenas apoiar decisões, não tomá-las45:56 Onde a IA vai impactar mais (benefícios e riscos)50:22 Casos práticos de uso de IA em hospitais53:33 IA muda estrutura organizacional? Sim, mas gradualmente59:55 O mundo não muda igual: bolhas vs realidade01:02:48 Segurança de dados e governança em IA generativa01:06:08 Como se manter relevante com a evolução da IA01:07:40 Encerramento/// Onde encontrar a Product Guru's:WhatsApp: https://whatsapp.com/channel/0029Va7uwHS5fM5U0LIatu3XX (antigo Twitter): https://twitter.com/product_gurusLinkedIn: https://www.linkedin.com/company/product-guru-s/Instagram: https://www.instagram.com/product.gurus/
Au programme :Apple se prend une claque légale dans son procès contre EpicOpenAI contraint de pivoter à 90° sur son changement de statutQui doit vérifier l'âge des enfants, Meta ou Apple?Le reste de l'actualitéInfos :Animé par Patrick Beja (Bluesky, Instagram, Twitter, TikTok)Co-animé par Melinda Davan-Soulas (Twitter).Produit par Patrick Beja (LinkedIn) et Fanny Cohen Moreau (LinkedIn).Musique libre de droit par Musicincloud.Le Rendez-vous Tech épisode 618 – Le RDV Argent, au bonheur des milliardaires – Apple vs Epic, OpenAI Bcorp, Meta vs Apple, Galaxy S25 Edge---Liens :
Neste episódio do Product Gurus, Júlia Sousa, PM Senior da Nubank, compartilha em detalhes como construiu e aplica seu guia de priorização de produto. A conversa cobre desde os desafios práticos na tomada de decisão até os critérios essenciais para entender impacto, urgência e confiança ao priorizar demandas em times de produto. Júlia explica como combina frameworks clássicos com a realidade da empresa, usando exemplos reais e abordando temas como custo de atraso, impacto na receita e número de usuários afetados.Além disso, ela compartilha erros comuns, lições aprendidas e oferece dicas valiosas para quem está começando na área de produto. O episódio é uma verdadeira aula prática sobre como estruturar um processo de priorização consistente, colaborativo e orientado por dados, sem depender exclusivamente de frameworks prontos. Ideal para PMs, líderes de produto e entusiastas da área!/// Recado importante: O futuro dos produtos digitais já começou e a Inteligência Artificial é parte do time.A PM3 acaba de lançar a Formação em Gestão de Produtos de IA: um curso pensado para Product Managers que querem criar, delegar e inovar com mais inteligência.Muito além dos prompts: você vai aprender a liderar produtos baseados em IA, dominar temas como Machine Learning, Deep Learning e IA Generativa, e aplicar novas formas de discovery, experimentação e validação.Prepare-se para o mercado que mais cresce no mundo e torne-se o PM que lidera a transformação.Acesse o link e saiba mais: https://go.pm3.com.br/Podcast-PG-NovaEra/// Onde encontrar os convidados:Júlia Sousa | Sr Product Manager @ Nubankhttps://www.linkedin.com/in/juliaso/// Conteúdo Extra:Guia de priorização usado pela Julia: https://docs.google.com/document/d/1uOdR9FPugstg2h9pkjkt8DgbHAv7Log-JaGdE1taCoo/edit?usp=drivesdk/// Nesse episódio abordamos:• O guia de priorização ajuda o time a tomar decisões alinhadas e consistentes.• Custo de atraso é dividido em quatro categorias: linear, data fixa, intangível e alto impacto imediato.• Priorizar requer entender impacto em cliente, receita e tempo de mercado.• A confiança em uma demanda depende de dados, feedback e pesquisa.• Times novos devem evitar estimativas e usar entregas passadas como base.• O guia não é um framework rígido, mas um conjunto de perguntas críticas.• A combinação de fatores é mais poderosa que qualquer critério isolado.• Decisões difíceis devem ser comunicadas com matriz de decisão e clareza.• Investir tempo em priorização evita desperdícios e aumenta impacto./// Capítulos00:00 – Introdução03:10 – A expansão da atuação de Júlia no Nubank04:00 – O que torna o Nubank valioso e o papel da priorização05:35 – Como surgiu o guia de priorização07:58 – A importância de critérios claros para o time08:42 – Apresentação do guia e custo do atraso10:50 – Tipos de custo de atraso com exemplos práticos16:00 – Alcance e impacto: como medir e decidir21:20 – O papel da confiança nas decisões de priorização24:50 – Como medir confiança e lidar com dados frágeis27:30 – Combinação de critérios e decisões difíceis31:28 – Como desempatar demandas igualmente urgentes33:00 – Como comunicar um “não” com clareza para stakeholders35:25 – Usando uma matriz de decisão prática38:00 – Priorizar sem depender de frameworks fixos39:00 – Dicas rápidas: erros, livros e conselhos para iniciantes41:45 – Bastidores do trabalho da Júlia no Nubank45:36 – Teoria de jogos aplicada à priorização46:03 – Encerramento/// Onde encontrar a Product Guru's:WhatsApp: https://whatsapp.com/channel/0029Va7uwHS5fM5U0LIatu3XX (antigo Twitter): https://twitter.com/product_gurusLinkedIn: https://www.linkedin.com/company/product-guru-s/Instagram: https://www.instagram.com/product.gurus/
In episode 1860, Jack and guest co-host Andrew Ti are joined by host of Worse Than You, Mo Fry Pasic, to discuss…REAL ID Isn’t Real, Cyber Trucks Just Totally Stop Selling, This AI Expert Thinks The AI Bubble’s About to Pop and more! What you need to know about the REAL ID requirements for air travel The Racist Origins of the Real ID Act Top Trump agency reveals key reason why REAL ID will be enforced 'Mass surveillance': Conservatives sound alarm over Trump admin's REAL ID rollout Trump’s Insistence on Real ID Has Become a Flashpoint for His Tinfoil Hat Fans You can get a free Krispy Kreme doughnut on May 7 for Real ID deadline: Here's how Homeland Security chief says travelers with no REAL ID can fly for now, but with likely extra steps Flying out of Indianapolis without REAL ID? Don't fret — the airport isn't turning people away Tesla’s Inventory of Unsold Cybertrucks Skyrockets, Despite Offering $10K Discounts and Concealing Listings The Silicon Valley sceptic warning tech’s new bubble is about to burst Deep Learning Is Hitting a Wall Microsoft’s £2.5bn investment in Britain at risk from creaking power grid Chess helped me win the Nobel Prize, says Google’s AI genius OpenAI overrode concerns of expert testers to release sycophantic GPT-4o The next British boom could be in the offing – if Starmer abandons net zero Finance worker pays out $25 million after video call with deepfake ‘chief financial officer’ LISTEN: Indeed by CruzaSee omnystudio.com/listener for privacy information.
Silicon has long borne the burden of heat transfer in electronics, but in a post-Moore's Law world, researchers like Hongxia Hao and Bing Lv are using AI to discover and design next-generation materials that exceed the limits of silicon's thermal conductivity.Read the paper
In this episode, Daniel and Chris unpack the Model Context Protocol (MCP), a rising standard for enabling agentic AI interactions with external systems, APIs, and data sources. They explore how MCP supports interoperability, community contributions, and a rapidly developing ecosystem of AI integrations. The conversation also highlights some real-world tooling such as FastAPI-MCP.Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XLinks:Protocol websiteAnthropic blog postBlog post - Model Context Protocol (MCP) an overviewFastAPI-MCPHow to Use FastAPI MCP Server: A Complete Guide Candle (Rust framework)
¿La Inteligencia Artificial es solo para programadores? En este episodio del podcast de Dynamic Devs, conversamos con Lesly Zerna, Curriculum Developer en DeepLearning.AI, sobre cómo enseñar IA a personas sin experiencia técnica previa. Lesly comparte su experiencia creando programas inclusivos, liderando comunidades de aprendizaje en América Latina y derribando mitos sobre el acceso al conocimiento en el mundo tech. Además, exploramos los desafíos al diseñar contenidos accesibles, y el impacto de las herramientas de IA en la equidad educativa.
Au programme :Laurent Delisse, éducateur au numérique, nous parle de son métier et du rapport du grand public au numérique et à ses enjeux.Infos :Animé par Patrick Beja (Bluesky, Instagram, Twitter, TikTok)Co-animé par Laurent DelisseProduit par Patrick Beja (LinkedIn) et Fanny Cohen Moreau (LinkedIn).Musique libre de droit par Musicincloud.Le Rendez-vous Tech épisode 617 – Spécial – Le métier d'éducateur au numérique---Liens :Laurent sur Instagram: https://www.instagram.com/notmarkhorLe site de Media-TIC: https://www.media-tic.org/Le podcast « Une vie (pas) comme les autres »: https://www.youtube.com/@Une-vie-pas-comme-les-autres
Brian wants to know, if 2 AI's were to have a conversation with one another, what would they talk about? James Tytko put this query to the test, and asked Mike Pound, professor of computer vision at the University of Nottingham, to help make sense of it all... Like this podcast? Please help us by supporting the Naked Scientists
TechnoVision 2025 by Capgemini helps business leaders and technologists understand and prioritize emerging technologies. It provides a clear view of tech trends, guiding decision-makers to enhance organizational effectiveness. TechnoVision acts as a beacon in the evolving technology landscape.In this very special episode, Dave, Esmee, and Rob talk in detail with the Capgemini Data-Powered Innovation Jam podcast team, featuring Ron Tolido, CTO and CIO Insight & Data Global; Weiwei Feng, Global Tech Lead AI & Generative AI; and Robert Engels, Head Global AI Lab. They explore the seven containers in TechnoVision 2025, which organizes current trends into distinct areas that shape how businesses will innovate, operate, and expand.TLDR00:50 Teaming between the Cloud Realties hosts and the Data-Powered Innovation Jam podcast team05:52 Introduction by Ron Tolido, what's new in TechnoVision 2025 and the 7 main containers 12:25 Invisible Infostructure by Rob Kernahan21:32 Applications Unleashed by Ron Tolido37:30 Thriving on Data by Robert "Dr. Bob" Engels47:36 Process on the Fly by Weiwei Feng1:02:40 We Collaborate by Dave Chapman1:13:27 You Experience by Esmee van de Giessen1:26:39 Balance by Design by Ron Tolido1:28:06 Overall conclusionGuestsRon Tolido: https://www.linkedin.com/in/rtolido/Robert (Dr. Bob) Engels: https://www.linkedin.com/in/robertengels/Weiwei Feng: https://www.linkedin.com/in/weiwei-feng-a2417795/Data-Powered Innovation Jam podcast https://www.capgemini.com/insights/research-library/data-powered-innovation-jam-podcast/TechnoVision 2025https://www.capgemini.com/insights/research-library/technovision-2025/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/'Cloud Realities' is an original podcast from Capgemini
In this episode, we explore the intersection of AI, machine learning, and healthcare through the lens of neuroimaging and epilepsy diagnosis. Dr. Gavin Winston shares insights from his work using MRI data and machine learning to uncover subtle abnormalities in brain function. We discuss the cultural and ethical barriers to AI adoption in medicine, how predictive data analysis could transform the diagnostic workflow, and what the future holds for medical imaging in a world increasingly shaped by intelligent systems.Featuring:Gavin Winston – LinkedIn, WebsiteChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XLinks:Detection of Epileptogenic Focal Cortical Dysplasia Using Graph Neural Networks: A MELD StudyMachine Learning in Neuroimaging across DisciplinesAutomated and Interpretable Detection of Hippocampal Sclerosis in Temporal Lobe Epilepsy: AID-HSLiterature review and protocol for a prospective multicentre cohort study on multimodal prediction of seizure recurrence after unprovoked first seizureDeep learning in neuroimaging of epilepsyNon-parametric combination of multimodal MRI for lesion detection in focal epilepsyDetection of covert lesions in focal epilepsy using computational analysis of multimodal magnetic resonance imaging data
Artie Intel and Micheline Learning report on Artificial Intelligence and Robotics for The AI Report. Shipping giant UPS is in talks with Figure AI to deploy humanoid robots in its logistics operations. Figure’s robots, standing at 5’6”, are designed to sort packages and mimic human movements. Trump administration has dismissed more than 200 AI experts hired under President Biden. Chinese tech giant Huawei is making waves with its new Ascend 910D AI chip. Electric vehicle powerhouse BYD is pushing the boundaries of automation. OpenAI’s latest model, GPT-4o, is under fire for being overly agreeable. Meta is on the hunt for an experienced Technical Program Manager to lead the setup and operations of a new robotics lab. The role involves managing research initiatives and collaborating with engineering teams to advance embodied AI. If you’re passionate about robotics and program management, check out it out: metacareers.com/jobs/. Meet “Archie,” the new AI agent from P-1 AI. Archie will help build things humanity can only dream of today Higgsfield AI has launched “Iconic Scenes,” a feature that lets users re-create legendary movie scenes with just a selfie. higgsfield.ai/scene Mode Mobile’s EarnPhone is turning smartphones into money-makers. Duolingo is accelerating its shift to AI, replacing more human tutors with advanced chatbots and voice models. This message comes from Sponsor, The AI and Big Data Expo! June 2025 in Santa Clara, California. showcasing Generative AI, Enterprise AI, Machine Learning, Security, Ethical AI, Deep Learning, Data Ecosystems, and more. Register for your free or gold pass to attend. Visit https://www.ai-expo.net/northamerica/ for more information. The AI Report
What happens when small businesses harness the power of big data? Today we find out. Tapan Bhatt is the Founder and CEO of TeraCrunch, the elite implementation firm for tailored AI solutions. Since 2013, he has been on the cutting edge of innovation with seamlessly designed systems that deliver big efficiencies for even bigger gains. Using proven methods, he successfully turns promises into performance.Website: https://www.teracrunch.com/Check out our YouTube Channel: https://youtu.be/--SNOlPC7uY
Au programme :La justice américaine pourrait imposer à Google de vendre Chrome700 millions: l'UE frappe fort pour faire respecter le DMAMalaise: sur Facebook, John Cena s'adonne à vos fantasmes (par IA bien sûr)Le reste de l'actualitéInfos :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 Musicincloud.Le Rendez-vous Tech épisode 616 – Qui dit monopole dit mesures drastiques – Google, Chrome, Apple, Meta, UE, DMA, Chatbot---Liens :Laurent sur Instagram: https://www.instagram.com/notmarkhorLe site de Media-TIC: https://www.media-tic.org/Le podcast « Une vie (pas) comme les autres »: https://www.youtube.com/@Une-vie-pas-comme-les-autres
digital kompakt | Business & Digitalisierung von Startup bis Corporate
Tauche ein in die faszinierende Welt der Bild-KI! Im Gespräch mit Joel Kaczmarek enthüllt Georg Neumann, Gründer des KI-Marketing-Bootcamps und Entwickler von Flake, die neuesten Trends und Entwicklungen. Erfahre, wie du mit Flake beeindruckende Bilder von dir selbst generieren kannst und welche Fortschritte Tools wie Mid Journey 7 und Google Wo2 im Bereich der Bild- und Videogenerierung gemacht haben. Entdecke, wie diese Technologien den kreativen Prozess revolutionieren und welche spannenden Möglichkeiten sie für die Zukunft bieten. Lass dich inspirieren und erweitere deinen Horizont im Bereich der künstlichen Intelligenz! Du erfährst... ...wie Georg Neumann mit Flake KI-gestützte Bildgenerierung revolutioniert. ...welche Fortschritte das neue Bildmodell von Chatchi-BT bietet. ...warum Mid Journey 7 für stilvolle und ausdrucksstarke Bilder begeistert. ...wie FreePick innovative Bildbearbeitungstools bereitstellt. ...welche Geheimnisse der neue Player Reef im Bereich Bild-KI birgt. __________________________ ||||| PERSONEN |||||
digital kompakt | Business & Digitalisierung von Startup bis Corporate
Tauche ein in die faszinierende Welt von Deep Tech! Im Gespräch mit Joel Kaczmarek enthüllt Martin Schilling, Gründer von Deep Tech Momentum, die Geheimnisse hinter Europas technologischen Titan*innen. Gemeinsam beleuchten sie acht Schlüsselbereiche, von Bio-Builders über Quantencomputing bis hin zu Clean Energy. Martin teilt seine Vision einer europäischen Technologiesouveränität und zeigt, wie Startups wie Basecamp Research und Neural Robotics die Zukunft gestalten. Ein Muss für alle, die wissen wollen, wie Europa im globalen Tech-Rennen die Nase vorn behalten kann! Du erfährst... …wie Martin Schilling mit Deep Tech Momentum Europas Tech-Souveränität stärkt. …welche acht Deep Tech Bereiche Europa prägen und welche Potenziale sie bergen. …wie Bio-Builders und Quantencomputing die Zukunft von Gesundheit und Technologie formen. …warum Clean Energy und Smart Mobility entscheidend für eine nachhaltige Zukunft sind. …wie New Space und Novel AI die Grenzen von Raumfahrt und künstlicher Intelligenz verschieben. __________________________ ||||| PERSONEN |||||
Au programme :Slopsquatting: l'IA code des failles de sécurité « fantômes »OpenAI veut concurrencer Twitter ?Procès FTC vs Meta (et vs Google) aux US, qu'en retenir?Le reste de l'actualitéInfos :Animé par Patrick Beja (Bluesky, Instagram, Twitter, TikTok)Co-animé par Stéphane Le Boisselier (Instagram, Bluesky).Produit par Patrick Beja (LinkedIn) et Fanny Cohen Moreau (LinkedIn).Musique libre de droit par Musicincloud.Le Rendez-vous Tech épisode 615 – Slopsquatting et Poisson Steve, le meilleur du net---Liens :
Vibe coding, agentic workflows, and AI-assisted pull requests? In this episode, Daniel and Chris chat with Robert Brennan and Graham Neubig of All Hands AI about how AI is transforming software development—from senior engineer productivity to open source agents that address GitHub issues. They dive into trust, tooling, collaboration, and what it means to build software in the era of AI agents. Whether you're coding from your laptop or your phone on a morning walk, the future is hands-free (and All Hands).Featuring:Robert Brennan – LinkedIn, XGraham Neubig – LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XLinks:All HandsAll Hands on GitHubAll Hands on Hugging Face
This episode is sponsored by Indeed. Stop struggling to get your job post seen on other job sites. Indeed's Sponsored Jobs help you stand out and hire fast. With Sponsored Jobs your post jumps to the top of the page for your relevant candidates, so you can reach the people you want faster. Get a $75 Sponsored Job Credit to boost your job's visibility! Claim your offer now: https://www.indeed.com/EYEONAI In this episode, renowned AI researcher Pedro Domingos, author of The Master Algorithm, takes us deep into the world of Connectionism—the AI tribe behind neural networks and the deep learning revolution. From the birth of neural networks in the 1940s to the explosive rise of transformers and ChatGPT, Pedro unpacks the history, breakthroughs, and limitations of connectionist AI. Along the way, he explores how supervised learning continues to quietly power today's most impressive AI systems—and why reinforcement learning and unsupervised learning are still lagging behind. We also dive into: The tribal war between Connectionists and Symbolists The surprising origins of Backpropagation How transformers redefined machine translation Why GANs and generative models exploded (and then faded) The myth of modern reinforcement learning (DeepSeek, RLHF, etc.) The danger of AI research narrowing too soon around one dominant approach Whether you're an AI enthusiast, a machine learning practitioner, or just curious about where intelligence is headed, this episode offers a rare deep dive into the ideological foundations of AI—and what's coming next. Don't forget to subscribe for more episodes on AI, data, and the future of tech. Stay Updated: Craig Smith on X:https://x.com/craigss Eye on A.I. on X: https://x.com/EyeOn_AI (00:00) What Are Generative Models? (03:02) AI Progress and the Local Optimum Trap (06:30) The Five Tribes of AI and Why They Matter (09:07) The Rise of Connectionism (11:14) Rosenblatt's Perceptron and the First AI Hype Cycle (13:35) Backpropagation: The Algorithm That Changed Everything (19:39) How Backpropagation Actually Works (21:22) AlexNet and the Deep Learning Boom (23:22) Why the Vision Community Resisted Neural Nets (25:39) The Expansion of Deep Learning (28:48) NetTalk and the Baby Steps of Neural Speech (31:24) How Transformers (and Attention) Transformed AI (34:36) Why Attention Solved the Bottleneck in Translation (35:24) The Untold Story of Transformer Invention (38:35) LSTMs vs. Attention: Solving the Vanishing Gradient Problem (42:29) GANs: The Evolutionary Arms Race in AI (48:53) Reinforcement Learning Explained (52:46) Why RL Is Mostly Just Supervised Learning in Disguise (54:35) Where AI Research Should Go Next
This year is the year that AI moves from the individual assistant to the collective and autonomous - from co-pilots to agent to agent integration. But what do we know of its collective impact and how does humanity fit in?This week's Easter Special, Dave, Esmee and Rob talk to Anders Indset, about his work (Ex Machina and the Singularity Paradox), capability of infinite progress, humane capitalism, where might the human find themselves in an AGI world and does the intersection of quantum and AI make the chance of us living in a simulation more likely…TLDR01:34 Introduction of Anders Indset03:50 Rob is confused about hackers starting to create saleable products08:12 Conversation with Anders Indset49:50 Who do we see as future leaders in our team?59:15 Conference in Austria about values in Europe and the future of Europe
W czwartym odcinku podcastu odpowiadamy m.in. na poniższe pytania: - Jakie największe, najbardziej szkodliwe bzdury słyszymy na temat AI? - Na czym polega tzw. uczenie maszynowe? Czym uczenie maszyn różni się od uczenia ludzi? - Czym są tzw. głębokie sieci neuronowe? Jak sztuczne "neurony" mają się do prawdziwych? - Czym są sieci konwolucyjne (CNN)? Jak mają się do rekurencyjnych (RNN)? Jak działa architektura transformer? - Czym są halucynacje? Z czego wynikają? Dlaczego nie umiemy ich wyeliminować? - Czym jest właściwie AGI? Dlaczego nie wiadomo o czym rozmawiamy? Linki: - Eric Larson o "Imitation Game" w "The Myth of AI": https://www.jstor.org/stable/j.ctv322... - Satya Nadella o deeskalacji oczekiwań wobec AI: https://www.dwarkesh.com/p/satya-nadella - Japoński program rozwoju komputerów piątek generacji: https://www.sciencedirect.com/science... - Wizualizacja działania DNN: • Neural Network 3D Simulation - Wizualizacja działania LLM: • Transformers (how LLMs work) explaine... - O halucynacjach generatywnych wyszukiwarek: https://www.cjr.org/tow_center/we-com... - Goeffrey Hinton o świadomości maszyn: • ‘Godfather of AI' predicts it will ta... - Poglądy Francois Cholleta: / fran%25c3%25a7ois-chollet-wie-co-m%25c3%25... - Roger Penrose o niekomputacyjności umysłu: • Asking a Theoretical Physicist About ... - Ostatni test ludzkości: https://agi.safe.ai/ Special Guest: Gniewosz Leliwa.
Evan Powell (@epowell101, CEO at DeepTempo) talks about the intersection of CyberSecurity, Deep Learning and new AI techniques to improve operational security. SHOW: 915SHOW TRANSCRIPT: The Cloudcast #915 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotwNEW TO CLOUD? CHECK OUT OUR OTHER PODCAST: "CLOUDCAST BASICS" SPONSORS:Cut Enterprise IT Support Costs by 30-50% with US CloudTry Postman AI Agent Builder TodaySHOW NOTES:DeepTempo websiteThe Promise of CyberSecurity Foundation ModelsEvan on The Cloudcast #165Topic 1 - Welcome back to the show, Evan. It's hard to believe it's been over ten years since we last spoke in your StackStorm days. Give everyone a quick introduction.Topic 2 - Today's topic is the intersection of Deep Learning and CyberSecurity. Let's start at a high level. As someone who has founded several companies, what's interesting enough in this space for you to jump in?Topic 3 - I talk to many customers about AI and use cases. If they don't have a leading use case, I often ask where they have a lot of data, and they want insights data. The needle in the haystack scenario. It could be text, unstructured data, log files, data lakes, just about anything. Is this scenario correct when it comes to CyberSecurity? What are the leading use cases?Topic 4 - I've been reading and hearing how AI has been a boon for hackers; what are your thoughts on the ever-lasting cat-and-mouse game in the security space and how it has evolved with AI?Topic 5 - Let's dig into the tech; at DeepTempo's core, you use Deep Learning and specific foundational models. You wrote a great blog recently on Cybersecurity models. When folks hear the term foundational or frontier model, they think of LLMs and GenAI. How is this different?Topic 6 - Is this a SaaS model? On-prem? Where does the tech sit and why?FEEDBACK?Email: show at the cloudcast dot netBluesky: @cloudcastpod.bsky.socialTwitter/X: @cloudcastpodInstagram: @cloudcastpodTikTok: @cloudcastpod
Au programme :Vérification de l'âge sur sites pornos, on y estL'état protège les collégiens des dangereux smartphonesTrump Tariffs S01E02 – The marche arrière (en zigzags)Le 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 Musicincloud.Le Rendez-vous Tech épisode 614 - Ouf, l'état nous protège de la tech---Liens :
For episode 507, Brandon Zemp is joined by the Founder of Pluralis Research Dr. Alexander Long. He was previously an AI Researcher at Amazon in a team of 14 Deep Learning PhDs. At Amazon, Dr Long's research focus was in retrieval augmentation and sample-efficient adaptation of large multi-modal foundation models. At UNSW his PhD was on sample efficient Reinforcement Learning and non-parametric memory in Deep Learning, where he was the School Nominee for the Malcolm Chaikin Prize (UNSW Best Thesis).Pluralis Research is pioneering Protocol Learning, an alternative to today's closed AI models and economically unsustainable open-source initiatives. Protocol Learning enables collaborative model training by pooling computational resources across multiple participants, while ensuring no single entity can obtain the complete model.
In this episode, Daniel sits down with Pavel Veller, EPAM's Chief Technologist, to explore the practical challenges of orchestrating many AI agents and managing connections to disparate systems/tools. Pavel shares insights from his hands-on work with agentic architectures and internal tools like "DIAL". Pavel also helps us understand things like MCP servers and why connecting assistants via APIs is easy—but making them useful is hard. Featuring:Pavel Veller – LinkedIn, XDaniel Whitenack – Website, GitHub, XLinks:EPAMDIALSWE-bench results ★ Support this podcast ★
This is Part I of our Deep Learning Series where Le Random's editor-in-chief Peter Bauman (Monk Antony) speaks with the most relevant figures in deep learning art. In this first installment, Peter speaks with two of the earliest artists to engage with the intersection of art and deep generative models, Tom White (dribnet) and Gene Kogan.They explore the artistic, philosophical and cultural implications of GANs and deep generative models, drawing on the artists' early experiences and perspectives in the field . The conversation touches on the origins of their interest in GANs, the evolution of AI and its perception, critiques of AI art, the nature of machine representations, and the connection between AI and decentralization.Chapters
From early inspirations to groundbreaking AI achievements, Yann's journey chronicles the rise of deep learning, the struggles for recognition, and the revolution that changed computing forever.00:09- About Yann LeCunYann is the Chief AI Scientist for Facebook AI Research (FAIR).He is also a Silver Professor at New York University on a part-time basis, mainly affiliated with the NYU Center for Data Science, and the Courant Institute of Mathematical Sciences.
Hello Las Vegas — we've arrived for Google Cloud Next 2025!Arthur C. Clarke's third law, "Any sufficiently advanced technology is indistinguishable from magic"Hot drop coming through! The #CloudRealities podcast team has landed in electric Las Vegas—and you know what they say: what happens in Vegas normally stays in Vegas... but in this case, we're bringing 8 incredible conversations in the coming days with inspiring guests who are shaping the future of cloud, data, and AI.On the last day, we have two separate episodes lined up to explore how AI is affecting the macro scale and impacting leadership transformation.In this conversation, Dave, Esmee, and Rob talk with Gina Fratarcangeli, Managing Director, NA GSI Leader at Google Cloud about The shifting landscape of Digital and AI technologies among Fortune 500 companies.TLDR00:20 Introduction of Gina Fratarcangeli03:20 Key announcements from the Google Cloud Next Keynote05:56 Main conversation with Gina Fratarcangeli about Fortune 500 companies and their journey towards digital transformation and AI22:01 Who's your favorite magician?GuestGina Fratarcangeli: https://www.linkedin.com/in/gina-fratarcangeli/ 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/'Cloud Realities' is an original podcast from Capgemini
Hello Las Vegas — we've arrived for Google Cloud Next 2025!Arthur C. Clarke's third law, "Any sufficiently advanced technology is indistinguishable from magic"Hot drop coming through! The #CloudRealities podcast team has landed in electric Las Vegas—and you know what they say: what happens in Vegas normally stays in Vegas... but in this case, we're bringing 8 incredible conversations in the coming days with inspiring guests who are shaping the future of cloud, data, and AI.On the last day, we have two separate episodes lined up to explore how AI is affecting the macro scale and impacting leadership transformation.In the last conversation of the event, Dave, Andy, and Rob talk with Lee Moore, VP Global Google Cloud Consulting at Google Cloud about Leading Cloud Transformation with Strategic Vision.TLDR00:50 Introduction of Lee Moore07:00 Final key announcements from the Google Cloud Next Keynote11:05 Main conversation with Lee Moore about cloud and AI-driven transformation and Intentional leadership 36:31 Who's your favorite magician and tying all the magic together of a fantastic week!!GuestLee Moore: https://www.linkedin.com/in/lee-t-moore/HostsDave Chapman: https://www.linkedin.com/in/chapmandr/Rob Kernahan: https://www.linkedin.com/in/rob-kernahan/Guest host Andy Appleby: https://www.linkedin.com/in/andyapplebycapgeminiglobalinfrastructureservices/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
Hello Las Vegas — we've arrived for Google Cloud Next 2025!Arthur C. Clarke's third law, "Any sufficiently advanced technology is indistinguishable from magic"Hot drop coming through! The #CloudRealities podcast team has landed in electric Las Vegas—and you know what they say: what happens in Vegas normally stays in Vegas... but in this case, we're bringing 8 incredible conversations in the coming days with inspiring guests who are shaping the future of cloud, data, and AI.On the second day, we have three separate episodes lined up to deep dive into industries such as insurance, telecom, and retail, all linked to AI, data, and innovation.In this conversation, Dave, Esmee, and Rob talk with Meg Tucker, Director of Insurance at Google Cloud about Fueling Insurance Evolution with AI.TLDR00:26 Introduction of Meg Tucker02:36 Key announcements from the Google Cloud Next Keynote07:26 Main conversation with Meg Tucker about the Insurance Evolution based on AI29:30 Who's your favorite magician?GuestMeg Tucker: https://www.linkedin.com/in/megtuckerla/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/'Cloud Realities' is an original podcast from Capgemini
Hello Las Vegas — we've arrived for Google Cloud Next 2025!Arthur C. Clarke's third law, "Any sufficiently advanced technology is indistinguishable from magic"Hot drop coming through! The #CloudRealities podcast team has landed in electric Las Vegas—and you know what they say: what happens in Vegas normally stays in Vegas... but in this case, we're bringing 8 incredible conversations in the coming days with inspiring guests who are shaping the future of cloud, data, and AI.On the second day, we have three separate episodes lined up to deep dive into industries such as insurance, telecom, and retail, all linked to GenAI, data, and innovation.In this conversation, Dave, Esmee, and Rob talk with Kapil Dabi, America's Director & Market Lead, Retail at Google Cloud about Unlocking Retail Potential with AI and Data. TLDR00:24 Introduction of Kapil Dabi03:00 Key announcements from the Google Cloud Next Keynote and Retail market strategies09:50 Main conversation with Kapil Dabi about how to unlock retail potential with AI and Data26:10 Who's your favorite magician?GuestKapil Dabi: https://www.linkedin.com/in/kapildabi/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/'Cloud Realities' is an original podcast from Capgemini
Hello Las Vegas — we've arrived for Google Cloud Next 2025!Hot drop coming through! The #CloudRealities podcast team has landed in electric Las Vegas—and you know what they say: what happens in Vegas normally stays in Vegas... but in this case, we're bringing 8 incredible conversations in the coming days with inspiring guests who are shaping the future of cloud, data, and AI.On the second day, we have three separate episodes lined up to deep dive into industries such as insurance, telecom, and retail, all linked to GenAI, data, and innovation.In this conversation, Dave, Andy, and Rob talk with Jen Hawes-Hewitt, Head of Global Solution Partner Programs, Global Telecom Industry at Google Cloud about Accelerating Innovation in Telecom with AI and GenAI.TLDR01:04 Introduction of Jen Hawes-Hewitt and guest host Andy Appleby04:06 Key announcements from the Google Cloud Next Keynote09:39 Main conversation with Jen Hawes-Hewitt31:58 Who's your favorite magician?GuestJen Hawes-Hewitt: https://www.linkedin.com/in/jenhaweshewitt/HostsDave Chapman: https://www.linkedin.com/in/chapmandr/Rob Kernahan: https://www.linkedin.com/in/rob-kernahan/Guest host Andy Appleby: https://www.linkedin.com/in/andyapplebycapgeminiglobalinfrastructureservices/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 enlightening episode of The Voice of Retail, host Michael LeBlanc interviews Anabel Maldonado, Founder and CEO of PSYKHE AI, a company at the forefront of using psychographic intelligence and generative AI to transform the future of e-commerce merchandising. With a rich background that spans neuropsychology and luxury fashion—having worked with the founding team of Net-a-Porter—Anabel brings a unique perspective to the conversation about personalization, retail AI, and customer behavior.Anabel describes how PSYKHE AI solves a persistent problem in digital retail: ineffective, one-size-fits-all recommendation engines. Traditional AI personalization relies heavily on transactional history and assumes repetitive buying behavior. PSYKHE AI instead integrates the Big Five personality traits—openness, conscientiousness, extraversion, agreeableness, and neuroticism—to determine what products emotionally resonate with users. The result is a real-time, per-user merchandising engine that reorders product pages based on deep learning and aesthetic psychology.Anabel explains that these psychographic insights allow PSYKHE AI to move beyond surface-level recommendations. Rather than bombarding consumers with lookalike products or static best-sellers, the platform dynamically surfaces items that feel uniquely “them”—even across unrelated categories like fashion, fragrance, and home décor. The system learns from user behavior and product interaction without relying on surveys or manual input, enabling meaningful personalization that adapts over time.The platform is particularly suited for large-scale, multi-brand retailers where product discovery is a challenge. PSYKHE AI delivers significant improvements in metrics such as conversion rate, time to transaction, and revenue per visitor, reporting uplifts between 17% and 35% through continuous A/B testing.Retailers with at least 50,000 monthly unique visitors and a product catalog with depth (four or more pages in key categories) are the ideal partners. As AI adoption accelerates, Anabel urges retailers to close the cultural gap between tech teams and merchants by embracing tools that reflect the emotional complexity of consumer decision-making.For those looking to stay ahead of the curve in retail innovation, this episode offers a compelling look at how emotional intelligence and AI can come together to redefine product discovery in e-commerce. Michael LeBlanc is the president and founder of M.E. LeBlanc & Company Inc, a senior retail advisor, keynote speaker and now, media entrepreneur. He has been on the front lines of retail industry change for his entire career. Michael has delivered keynotes, hosted fire-side discussions and participated worldwide in thought leadership panels, most recently on the main stage in Toronto at Retail Council of Canada's Retail Marketing conference with leaders from Walmart & Google. He brings 25+ years of brand/retail/marketing & eCommerce leadership experience with Levi's, Black & Decker, Hudson's Bay, CanWest Media, Pandora Jewellery, The Shopping Channel and Retail Council of Canada to his advisory, speaking and media practice.Michael produces and hosts a network of leading retail trade podcasts, including the award-winning No.1 independent retail industry podcast in America, Remarkable Retail with his partner, Dallas-based best-selling author Steve Dennis; Canada's top retail industry podcast The Voice of Retail and Canada's top food industry and one of the top Canadian-produced management independent podcasts in the country, The Food Professor with Dr. Sylvain Charlebois from Dalhousie University in Halifax.Rethink Retail has recognized Michael as one of the top global retail experts for the fifth year in a row, the National Retail Federation has designated Michael as on their Top Retail Voices for 2025, Thinkers 360 has named him on of the Top 50 global thought leaders in retail, RTIH has named him a top 100 global though leader in retail technology and Coresight Research has named Michael a Retail AI Influencer. If you are a BBQ fan, you can tune into Michael's cooking show, Last Request BBQ, on YouTube, Instagram, X and yes, TikTok.Michael is available for keynote presentations helping retailers, brands and retail industry insiders explaining the current state and future of the retail industry in North America and around the world.
Hello Las Vegas — we've arrived for Google Cloud Next 2025!Arthur C. Clarke's third law, "Any sufficiently advanced technology is indistinguishable from magic"Hot drop coming through! The #CloudRealities podcast team has landed in electric Las Vegas—and you know what they say: what happens in Vegas normally stays in Vegas... but in this case, we're bringing 8 incredible conversations in the coming days with inspiring guests who are shaping the future of cloud, data, and AI.On the first day, we have 3 separate episodes lined up to discuss Google AI strategy & vision, practical implementations, and exciting use cases.Dave, Esmee, and Rob kick off with Saurabh Tiwary, VP, General Manager, Cloud AI at Google Cloud, about Leading AI Innovation for Enterprise Solutions, to solve complex enterprise challenges and deliver true business value.TLDR00:22 We're back in Vegas, here's what to expect in the coming days01:43 Introduction of Saurabh Tiwary and the David Copperfield show05:14 Discussion on Google Cloud Next themes this week with special guest James Goeders, Head of Product, Google Quantum AI12:10 Main conversation on Cloud AI with Saurabh Tiwary37:28 Who's your favorite magician?GuestSaurabh Tiwary: https://www.linkedin.com/in/saurabh-tiwary/ HostsDave Chapman: https://www.linkedin.com/in/chapmandr/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/'Cloud Realities' is an original podcast from Capgemini
Hello Las Vegas — we've arrived for Google Cloud Next 2025!Arthur C. Clarke's third law, "Any sufficiently advanced technology is indistinguishable from magic"Hot drop coming through! The Cloud Realities podcast team has landed in electric Las Vegas—and you know what they say: what happens in Vegas normally stays in Vegas... but in this case, we're bringing 8 incredible conversations in the coming days with inspiring Google guests who are shaping the future of cloud, data, and AI.On the first day, we have 3 separate episodes lined up to discuss Google AI strategy & vision, practical implementations, and exciting use cases.In the second conversation, Dave, Esmee, and Rob, talk with Charlotte Gistelinck, Machine Learning / AI Partner Engineer at Google, on how strategic thinking and visioning in AI/ML are key to driving innovation and long-term success.TLDR00:24 Introduction of Charlotte Gistelinck 04:12 Key announcements from the Google Cloud Next Keynote 07:17 Main conversation with Charlotte about Strategic Thinking and Visioning in AI 37:14 Who's your favorite magician?GuestCharlotte Gistelinck: https://www.linkedin.com/in/charlottegistelinck/HostsDave Chapman: https://www.linkedin.com/in/chapmandr/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/'Cloud Realities' is an original podcast from Capgemini
Hello Las Vegas — we've arrived for Google Cloud Next 2025!Arthur C. Clarke's third law, "Any sufficiently advanced technology is indistinguishable from magic"Hot drop coming through! The #CloudRealities podcast team has landed in electric Las Vegas—and you know what they say: what happens in Vegas normally stays in Vegas... but in this case, we're bringing 8 incredible conversations in the coming days with inspiring guests who are shaping the future of cloud, data, and AI.On the first day, we have 3 separate episodes lined up to discuss Google AI strategy & vision, practical implementations, and exciting use cases.In the third conversation, Dave, Esmee, and Rob talk with Jim Anderson, VP, NA Partner Ecosystem & Channels at Google, on how customers are using Cloud, AI/ML, and Data Analytics to power digital transformation. From real-world success stories to the trends shaping the year ahead—this one's packed with actionable insights.TLDR00:23 Introduction of Jim Anderson04:17 Key announcements from the Google Cloud Next Keynote06:44 Main conversation with Jim Anderson about Driving Digital Transformation with Customers 24:50 Who's your favorite magician?GuestJim Anderson: https://www.linkedin.com/in/jimmya/HostsDave Chapman: https://www.linkedin.com/in/chapmandr/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/'Cloud Realities' is an original podcast from Capgemini
Today's clip is from episode 129 of the podcast, with AI expert and researcher Vincent Fortuin.This conversation delves into the intricacies of Bayesian deep learning, contrasting it with traditional deep learning and exploring its applications and challenges.Get the full discussion at https://learnbayesstats.com/episode/129-bayesian-deep-learning-ai-for-science-vincent-fortuinIntro 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 :Les taxes à l'import plonge (aussi) la tech dans le chaosCopilot Vision arrive sur WindowsLlama 4 et le contexte infiniLe reste de l'actualitéInfos :Animé par Patrick Beja (Bluesky, Instagram, Twitter, TikTok)Co-animé par Cassim Montilla (Bluesky).Produit par Patrick Beja (LinkedIn) et Fanny Cohen Moreau (LinkedIn).Musique libre de droit par Musicincloud.Le Rendez-vous Tech épisode 613 - Chaos et incertitude - Taxes & tech, Copilot Vision, Llama 4---Liens :
As organizations increasingly integrate Gen AI into their operations, it's crucial to consider the technology's environmental impact. However, only 12% of executives report that their organizations measure Gen AI's footprint, and just 20% prioritize its environmental footprint among the top five factors when choosing or developing models. Despite this, Gen AI's ability to rapidly process large volumes of data helps organizations improve customer experience, optimize operations, drive growth, and foster innovation.This week, Dave, Esmee and Rob talk to Lewis Richards, Microsoft Chief Sustainability Officer, UK about the pivotal shift in global sustainability perspectives, the challenges of fostering meaningful conversations in the digital world and strategies to enhance human understanding of technology and its impacts. TLDR04:10 Rob is confused about shaky user interface design 07:26 Sustainability conversation with Lewis Richards43:15 What would a digital waste constellation look like? 49:50 Training for a High Rock fitness race GuestLewis Richards: https://www.linkedin.com/in/lewisrichardscso/Developing sustainable Gen AI, Report from the Capgemini Research Institute: https://www.capgemini.com/insights/research-library/sustainable-gen-ai/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/'Cloud Realities' is an original podcast from Capgemini
There was the hype, then the testing, now companies are deploying artificial intelligence at the heart of their operations. We ask one of the world's most prominent AI scientists for his advice for companies, and hear how Siemens is creating the 'brains' to run the factories of the future. Guests: Andrew Ng, managing general partner of AI FUNDS and founder of DeepLearning.AI Cedrik Neike, CEO Digital Industries, Siemens Cathy Li, Head, AI, Data and Metaverse, World Economic Forum Kiva Allgood, Head, Centre for Advanced Manufacturing & Supply Chains, World Economic Forum Links: AI in Action: Beyond Experimentation to Transform Industry: Frontier Technologies in Industrial Operations: The Rise of Artificial Intelligence Agents: Centre for the Fourth Industrial Revolution: Centre for Advanced Manufacturing and Supply Chains: Related podcasts: Check out all our podcasts on : - - : - : - : Join the :
Tauche ein in die faszinierende Welt der KI mit Joel Kaczmarek und Hamidreza Hosseini von ECODYNAMICS! Nach zwei Wochen in Vietnam bringt Joel die heißesten Updates mit – und Hamid, der KI-Experte, liefert die Insights. Von OpenAI's neuem Bildmodell bis hin zu autonomen Agenten und dem Hype um Manus – hier erfährst du alles, was du wissen musst. Entdecke, wie KI deinen Alltag revolutionieren kann und warum Manus gerade die Tech-Welt auf den Kopf stellt. Sei dabei, wenn Joel und Hamid die Zukunft der KI enthüllen! Du erfährst... ...wie das neue Bildmodell von OpenAI kreative Prozesse revolutioniert ...welche spannenden Möglichkeiten autonome Agenten bieten ...wie Manus als innovatives Tool die KI-Welt verändert ...warum DeepSeek und andere chinesische Modelle im Fokus stehen ...wie n8n Automatisierung auf ein neues Level hebt __________________________ ||||| PERSONEN |||||
Geoffrey Hinton also known as the godfather of AI was recently awarded the Nobel Prize in Physics for his pioneering work in artificial intelligence. He joins host Steve Paikin for a wide-ranging discussion on his Nobel win, his departure from Google, the promise and perils of AI, and why he recently got under Elon Musk's skin. See omnystudio.com/listener for privacy information.
Proudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch!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:The hype around AI in science often fails to deliver practical results.Bayesian deep learning combines the strengths of deep learning and Bayesian statistics.Fine-tuning LLMs with Bayesian methods improves prediction calibration.There is no single dominant library for Bayesian deep learning yet.Real-world applications of Bayesian deep learning exist in various fields.Prior knowledge is crucial for the effectiveness of Bayesian deep learning.Data efficiency in AI can be enhanced by incorporating prior knowledge.Generative AI and Bayesian deep learning can inform each other.The complexity of a problem influences the choice between Bayesian and traditional deep learning.Meta-learning enhances the efficiency of Bayesian models.PAC-Bayesian theory merges Bayesian and frequentist ideas.Laplace inference offers a cost-effective approximation.Subspace inference can optimize parameter efficiency.Bayesian deep learning is crucial for reliable predictions.Effective communication of uncertainty is essential.Realistic benchmarks are needed for Bayesian methodsCollaboration and communication in the AI community are vital.Chapters:00:00 Introduction to Bayesian Deep Learning04:24 Vincent Fortuin's Journey to Bayesian Deep Learning11:52 Understanding Bayesian Deep Learning16:29 Current Landscape of Bayesian Libraries21:11 Real-World Applications of Bayesian Deep Learning23:33 When to Use Bayesian Deep Learning28:22 Data Efficiency in AI and Generative Modeling30:18 Integrating Bayesian Knowledge into Generative Models31:44 The Role of Meta-Learning in Bayesian Deep Learning34:06 Understanding Pack Bayesian Theory37:55 Algorithms for Bayesian Deep Learning Models
How do you enable AI acceleration (at both the hardware and software layers) that stays ahead of rapid industry shifts? In this episode, Dhananjay Singh from Groq dives into the evolving landscape of AI inference and acceleration. We explore how Groq optimizes the serving layer, adapts to industry shifts, and supports emerging model architectures. Featuring:Dhananjay Singh – LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XLinks:GroqSponsors:Augment Code - Developer AI that uses deep understanding of your large codebase and how you build software to deliver personalized code suggestions and insights. Augment provides relevant, contextualized code right in your IDE or Slack. It transforms scattered knowledge into code or answers, eliminating time spent searching docs or interrupting teammates. ★ Support this podcast ★
Au programme :Section 230 en danger: pourquoi c'est important ?Ça chauffe entre l'UE et Apple: problème ou hypocrisie ?Nvidia GTC: des mondes virtuels et plein de robotsLe reste de l'actualité---Formulaire pour proposer un sujet pour le podcast : https://docs.google.com/forms/d/e/1FAIpQLSd645h-pyhpzy9oQtIZ1c6xB2neeWNLZTUw9GJcKqK84njskw/viewform?usp=headerInfos :Animé par Patrick Beja (Bluesky, Instagram, Twitter, TikTok)Co-animé par Jérôme Keinborg (Bluesky).Co-animé par Cédric de Luca (Bluesky).Produit par Patrick Beja (LinkedIn) et Fanny Cohen Moreau (LinkedIn).Musique libre de droit par Musicincloud.Le Rendez-vous Tech épisode 612 - L'IA plus forte que le droit d'auteur? - ChatGPT, gvt US sur Signal, xAI rachète X, médecin IA Apple ---Liens :
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