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Join us for a powerful conversation with Larry Ward, President of Political Media Incorporated (PMI), as we explore the intersection of politics, marketing, and digital freedom. With decades of experience across the political, corporate, and non-profit worlds, Larry shares how PMI has helped shape the modern political landscape — all while staying ahead of the curve in a rapidly changing media environment. From pioneering digital outreach in the early 2000s to tackling the challenges of online censorship and algorithmic suppression, PMI has consistently led with innovation and conviction. In this episode, we break down the tools, strategies, and principles that continue to drive their mission forward. In this episode, you'll hear about: How digital platforms transformed political engagement. The subtle yet powerful ways censorship creeps into online advertising. How targeted messaging thrives even in suppressed environments. What AI means for the future of political speech and media strategy. If you're curious about the future of free speech, or how real change is driven through media strategy, this episode is a must-watch. Explore Larry's work and case studies at Politicalmedia.com/case-studies
[AAA] In 'Access All Areas' shows we go behind the scenes with the crew and their friends as they dive into complex challenges that organizations face—sometimes getting a little messy along the way.This week, we address the ‘big rocks' that can obstruct or delay successful outcomes in organizational transformations. Dave, Esmee, and Rob are joined by Jasmin Booth, Head of Product Delivery to discuss the transformation to being a (digital) product based organization.TLDR05:22 Access All Areas: This third episode focuses on the products we build that drive outcomes.06:52 Conversation with Jasmin about our digital products37:06 What makes it better to be in a product centric organization? 54:00 Conclusion of the seven Big Rocks and how to smash them59:00 Going on the Blue Bell railway HostsDave Chapman: https://www.linkedin.com/in/chapmandr/Esmee van de Giessen: https://www.linkedin.com/in/esmeevandegiessen/Rob Kernahan: https://www.linkedin.com/in/rob-kernahan/with Jasmin Booth: https://www.linkedin.com/in/jasminbooth15/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
digital kompakt | Business & Digitalisierung von Startup bis Corporate
Tauche ein in die Welt des Prompt Engineerings mit Joel Kaczmarek und Ruppert Bodmeier! In dieser Episode von digital kompakt geht es um die Kunst, KI-Modelle so zu steuern, dass sie genau das liefern, was du brauchst. Ruppert, ein Experte für Innovationsentwicklung bei Disrooptive, teilt seine Erfahrungen und Herausforderungen auf dem Weg zur perfekten KI-Nutzung. Erfahre, wie du durch gezieltes Prompt Engineering Wettbewerbsvorteile schaffen kannst und warum der Kontext dabei entscheidend ist. Lass dich inspirieren und entdecke, wie du die Zukunft der KI für dich nutzen kannst! Du erfährst... …wie Ruppert Bodmeier die Kunst des Prompt Engineering meistert und einzigartige Lösungen schafft …warum Beharrlichkeit und Resilienz im Umgang mit KI entscheidend sind …wie du durch präzise Kontextdefinitionen bessere KI-Ergebnisse erzielst …welche Rolle APIs spielen, um Wettbewerbsvorteile mit KI zu sichern …wie du mit modularen Befehlen und Ketten einzigartige Projekte realisierst __________________________ ||||| PERSONEN |||||
Au programme :Copyright vs IA: les choses sérieuses commencentWWDC à tête reposée: Liquid Glass et damage controlMistral au centre de VivatechLe reste de l'actuInfos :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 623 – IA vs Copyright: le vrai combat débute---Liens :
Le manque de médecins et de soignants pousse le secteur de la santé à repenser ses méthodes de travail. Les agents d'IA émergent donc comme une solution prometteuse pour augmenter les capacités des praticiens sans les remplacer. De la prise de rendez-vous à l'analyse d'imagerie médicale, ces technologies promettent d'optimiser l'efficacité du système de santé. Pour comprendre cette transformation, nous accueillons Xavier Perret Directeur Cloud Azure chez Microsoft, qui partage son expertise sur les applications pratiques de ces agents dans le quotidien médical.Notre invité détaille les trois niveaux d'agents d'IA : du simple agent conversationnel aux systèmes multi-agents complexes capables d'orchestrer des chaînes de tâches sophistiquées. Il explique comment ces technologies aident les médecins à gagner du temps sur les aspects rébarbatifs pour se concentrer sur leur cœur de métier, tout en garantissant la sécurité des données sensibles grâce à des architectures certifiées HDS et des solutions de chiffrement avancées.Pour en découvrir plus :https://www.capgemini.com/fr-fr/perspectives/blog/grace-a-lia-le-nez-electronique-flaire-les-maladies/https://www.capgemini.com/fr-fr/perspectives/publications/deployer-ia-de-confiance-sante/
Laure Menissier est AI & Analytics Director chez Mirakl, la licorne française qui accompagne les entreprises sur le développement de leur eCommerce avec des solutions SaaS notamment pour la marketplace ou le retail media, et qui a réalisé une levée de fonds record de 555 millions de dollars.On aborde :
Prof. James Evans, a University of Chicago sociologist and data scientist, believes we're training AI to think too much like humans—and it's holding science back.In this episode, Evans shares how our current models risk narrowing scientific exploration rather than expanding it, and explains why he's pushing for AIs that think differently from us—what he calls “cognitive aliens.” Could these “alien minds” help us unlock hidden breakthroughs? And what would it take to build them?
Mark Ericksen, creator of the Elixir LangChain framework, joins the Elixir Wizards to talk about LLM integration in Elixir apps. He explains how LangChain abstracts away the quirks of different AI providers (OpenAI, Anthropic's Claude, Google's Gemini) so you can work with any LLM in one more consistent API. We dig into core features like conversation chaining, tool execution, automatic retries, and production-grade fallback strategies. Mark shares his experiences maintaining LangChain in a fast-moving AI world: how it shields developers from API drift, manages token budgets, and handles rate limits and outages. He also reveals testing tactics for non-deterministic AI outputs, configuration tips for custom authentication, and the highlights of the new v0.4 release, including “content parts” support for thinking-style models. Key topics discussed in this episode: • Abstracting LLM APIs behind a unified Elixir interface • Building and managing conversation chains across multiple models • Exposing application functionality to LLMs through tool integrations • Automatic retries and fallback chains for production resilience • Supporting a variety of LLM providers • Tracking and optimizing token usage for cost control • Configuring API keys, authentication, and provider-specific settings • Handling rate limits and service outages with degradation • Processing multimodal inputs (text, images) in Langchain workflows • Extracting structured data from unstructured LLM responses • Leveraging “content parts” in v0.4 for advanced thinking-model support • Debugging LLM interactions using verbose logging and telemetry • Kickstarting experiments in LiveBook notebooks and demos • Comparing Elixir LangChain to the original Python implementation • Crafting human-in-the-loop workflows for interactive AI features • Integrating Langchain with the Ash framework for chat-driven interfaces • Contributing to open-source LLM adapters and staying ahead of API changes • Building fallback chains (e.g., OpenAI → Azure) for seamless continuity • Embedding business logic decisions directly into AI-powered tools • Summarization techniques for token efficiency in ongoing conversations • Batch processing tactics to leverage lower-cost API rate tiers • Real-world lessons on maintaining uptime amid LLM service disruptions Links mentioned: https://rubyonrails.org/ https://fly.io/ https://zionnationalpark.com/ https://podcast.thinkingelixir.com/ https://github.com/brainlid/langchain https://openai.com/ https://claude.ai/ https://gemini.google.com/ https://www.anthropic.com/ Vertex AI Studio https://cloud.google.com/generative-ai-studio https://www.perplexity.ai/ https://azure.microsoft.com/ https://hexdocs.pm/ecto/Ecto.html https://oban.pro/ Chris McCord's ElixirConf EU 2025 Talk https://www.youtube.com/watch?v=ojL_VHc4gLk Getting started: https://hexdocs.pm/langchain/gettingstarted.html https://ash-hq.org/ https://hex.pm/packages/langchain https://hexdocs.pm/igniter/readme.html https://www.youtube.com/watch?v=WM9iQlQSFg @brainlid on Twitter and BlueSky Special Guest: Mark Ericksen.
Every organization is built on people, structures, and culture. But culture isn't static—it evolves with every interaction, ambition, and shift in circumstance. As IT drives business transformation, new technologies reshape how people connect and collaborate. In this ever-changing landscape, a strong, adaptive culture is the key to lasting success. This week, Dave, Esmee and Rob talk to Jitske Kramer, Corporate Anthropologist about what technology is doing to cultures and human systems and how AI can mess with the narrative. TLDR00:50 Introduction of Jitske Kramer and her book Navigating Tricky Times02:05 Rob shares his confusion about saying “thank you” to AI07:25 In-depth conversation with Jitske Kramer11:30 Visual communication via tattoos even at AWS re:Invent25:00 Corporate framing and what's going on within organizations today46:22 Exploring the contrast between the natural pace of human transformation and the rapid acceleration of technology54:14 Editing the documentary Patterns of Life55:56 Esmee's 2x Outro speed surprises everyone!Guest:Jitske Kramer: https://www.linkedin.com/in/jitskekramer/https://jitskekramer.substack.com/Tricky Times event: https://tricky-times.com/events/navigating-tricky-times-leading-through-the-messy-middle-of-change/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
La IA ganará primero el Nobel y después el Pulitzer ✉️ Únete a nuestra comunidad en Telegram http://t.me/monosclub 0:00 Lola Lolita y la superabundancia que traerá la IA 3:23 Cuál es el límite de los modelos razonadores 7:07 Aprendizaje por refuerzo manual 15:25 Refuerzo automático con recompensa verificable 18:22 La IA ganará primero el Nobel y después el Pulitzer 25:46 Formación en IA y data science con Datamecum 27:52 Apple dice que los modelos razonadores no razonan 36:00 La IA no se hace sola, hay que hacerla con Nvidia 38:10 o3 Pro de OpenAI ya tiene grandes fanboys 43:45 La singularidad llegará de tranquis 50:18 Resulta que ChatGPT apenas consume agua 55:25 Apple presenta Windows Vista 57:00 Coger un Waymo es más emocionante que nunca 58:23 Zuckerberg le pone los cuernos a Yann LeCun 1:01:11 Puerta grande o enfermería 1:18:02 Canción de cierre: quién pudiera ser de carne
Panelista: Mira. Daniela Sánchez-BernalModerador: Dr. Luis Enrique Pereda TrejoEn este webinar abordaremos de forma dinámica y accesible las generalidades y particularidades de la inteligencia artificial aplicada al Derecho. Desde las diferencias entre Machine Learning y Deep Learning hasta cómo usar herramientas como ChatGPT con estrategia jurídica, exploraremos casos reales, aplicaciones concretas y claves prácticas para aprovechar la I.A. en nuestra profesión. Todo con un enfoque claro, actual y sin miedo a hacernos las preguntas difíciles.
Au programme :WWDC: Les grands enseignements, Liquid Glass et iOS 26WWDC: l'iPad devient un « Mac Lite » (et les autres OS)Les actions planifiées, la prochaine étape de l'IA?Le reste de l'actualitéInfos :Animé par Patrick Beja (Bluesky, Instagram, Twitter, TikTok)Co-animé par Christophe Camicas (Bluesky).Co-animé par Olivier Frigara (Bluesky).Produit par Patrick Beja (LinkedIn) et Fanny Cohen Moreau (LinkedIn).Musique par Daniel BejaLe Rendez-vous Tech épisode 622 – WWDC 2025: L'iPad devient « Mac Lite » et Liquid Glass est partout – iOS 26, MacOS 26, iPadOS 26, VisionOS 26, WatchOS 26---Liens :
Neste episódio do Product Guru's, Paulo Chiodi recebe Cassiane Vilvert, especialista em Product Marketing e líder na Vtex, para uma conversa profunda sobre Go to Market (GTM). Em um mundo dominado pela inteligência artificial, Cassie destaca que produtos ainda precisam de estratégia sólida, visão clara e uma execução bem alinhada para serem bem-sucedidos no mercado.Ao longo da conversa, eles abordam a diferença entre PM e PMM, quando contratar um PMM, como nasce um bom GTM, e os ingredientes essenciais para um lançamento realmente eficaz, como estratégia de canais, posicionamento, proposta de valor e métricas que realmente importam.Cassie também compartilha erros comuns, cases de sucesso e fracasso, e ferramentas práticas que utiliza no dia a dia para conduzir lançamentos globais com excelência. Um guia completo para quem quer dominar GTM de verdade.//// Onde encontrar a convidada: Cassiane Vilvert | Senior Product Marketing Manager @ VTEX: https://www.linkedin.com/in/cassianevilvert/// Conteúdos mencionados:Site: https://cassianevilvert.com/Livro: https://www.casadocodigo.com.br/products/livro-mulheres-de-produto Planilha que comentado no EP: https://docs.google.com/spreadsheets/d/1xlr9LUlu9oVs28EK8VzxcVKGIerfDWmpcvKIljJ4xfA/edit?usp=sharing/// Recado Importante: 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.Acesse o link e saiba mais: https://go.pm3.com.br/ProductGurus-AI-Specialist/// Outros parceiros:Codando sem Codar - A maior comunidade de AI (Vibe) Coding do Brasilhttps://codandosemcodar.com.br/?utm_campaign=pg_podcastCurling - Do treinamento à criação de soluções com IA, estamos em cada etapa. https://www.usecurling.com//// Nesse episódio abordamos:GTM começa no discovery e não só no lançamento.PMM é um "diplomata" entre produto, marketing e vendas.O papel do PMM é garantir que todos saibam do produto, não só que ele exista.Produto sem estratégia de GTM pode fracassar, mesmo sendo bom.Empresas early stage podem adotar mentalidade de product marketing antes de ter a função.Posicionamento e proposta de valor não são sinônimos, um é interno, outro é externo.GTM bem-sucedido se conecta com OKRs e tem métricas claras.Sales Enablement é parte crítica do sucesso do GTM, principalmente em empresas sales-led.Concorrência atual é com a inércia e com a atenção das pessoas, não apenas com outros produtos.Inteligência Artificial não substitui visão estratégica, apenas facilita a execução./// Capítulos00:00 Introdução01:37 O que faz um Product Marketing Manager (PMM)?03:36 Diferenças e fronteiras entre PM e PMM06:57 Quando contratar um PMM em uma empresa10:45 Estrutura ideal do Product Marketing conforme o tamanho da empresa14:56 Go to Market: muito além do lançamento17:29 O que é um bom Go to Market de verdade21:07 Como funciona o GTM na Vtex24:01 Case de sucesso: Vtex Vision28:44 Case de fracasso: erro de audiência31:45 Papéis ideais de PM e PMM no GTM34:49 O que atrapalha a relação entre PM e PMM37:55 Como evitar GTMs vazios e sem estratégia41:00 Proposta de valor vs. posicionamento45:41 Como socializar o posicionamento na empresa47:20 O que olhar primeiro: problema, público ou canal?49:05 Narrativas que não funcionam no mercado51:30 O que é um GTM bem-sucedido56:08 Métricas essenciais no início do GTM58:55 Quando os dados não batem com a percepção do mercado01:02:27 Ferramentas e rituais que Cassie usa em GTMs01:04:28 Como ensinar GTM para um time do zero01:07:21 Erro comum ao criar planos de GTM01:07:50 O impacto da IA nos lançamentos de produtos01:12:33 Case Canva e a inércia como concorrência01:13:25 - Encerramento
The telecom industry is undergoing a fundamental transformation. This shift is creating new business opportunities and services but also brings significant challenges in transformation and modernization. In a new five-part mini-series, Reimagining Telecoms, we will explore these challenges through five distinct lenses: Growth, Networks, Simplification, Data & AI, and Regulation, uncovering lessons and insights relevant to telecom organizations and beyond. This week, in the final episode of the mini-series, Dave, Esmee, and Rob talk to Nik Willetts, CEO of TM Forum, to discuss growth—the telco industry's biggest challenge—and how it intersects with Hyperscalers, innovation, and shaping the industry's future. TLDR01:05 Introduction of Nik and an update on the mini-series03:41 Main conversation with Nik Willetts29:10 Navigating the balance between collaboration and competition34:57 Looking ahead to DTW Ignite, the Dolomites, and Brunello wine, served by sommelier Rob GuestNik Willetts: https://www.linkedin.com/in/nikwilletts/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/with Praveen Shankar: https://www.linkedin.com/in/praveen-shankar-capgemini/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
Chong Shen from Flower Labs joins us to discuss what it really takes to build production-ready federated learning systems that work across data silos. We talk about the Flower framework and it's architecture (supernodes, superlinks, etc.), and what makes it both "friendly" and ready for real enterprise environments. We also explore how the generative Generative AI boom is reshaping Flower's roadmap.Featuring:Chong Shen Ng – LinkedInChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XEpisode links:The future of AI training is federatedDeepLearning.ai short course on Federated Learning with FlowerFlower MonthlyFederated Learning in AutomotiveFederated AI in FinanceFederated Learning in HealthcareFederated AI on IoT SystemsFlowerTune LLM LeaderboardFlower IntelligenceGitHubSlackFlower DiscussCheck out upcoming webinars!Sponsors:NordLayer is toggle-ready network security built for modern businesses—combining VPN, access control, and threat protection in one platform that deploys in under 10 minutes with no hardware required. It's built on Zero Trust architecture with granular access controls, so only the right people access the right resources, and it scales effortlessly as your team grows. Get up to 32% off yearly plans with code practically-10 at nordlayer.com/practicalai - 14-day money-back guarantee included.
What can film reviews tell us about gender bias in the movie industry?Dr Wael Khreich from the American University of Beirut explores this question with Genderly, a custom-built AI tool that analyses the language of 17,000 professional reviews. His findings reveal that female-led films are far more likely to be judged through a biased lens—subtly and overtly reinforcing stereotypes. This research sheds light on how language shapes perception, influences careers, and contributes to broader societal inequalities.Read the original research: doi.org/10.1371/journal.pone.0316093
Neste episódio do Product Guru's, Paulo Chiodi conversa com Anderson Amaral, um dos maiores especialistas em Agentes de IA e LLMs no Brasil, segundo a própria comunidade de tecnologia no LinkedIn. Fundador da Scoras Digital e Scoras Academy, Anderson compartilha sua trajetória, explica a diferença entre LLM, SLM e agentes autônomos, além de mostrar na prática como funciona um sistema multiagente de IA.A conversa aborda temas técnicos e estratégicos com leveza e profundidade: desde o impacto de ferramentas como Devin e Manus AI no futuro do desenvolvimento de software, até os riscos éticos e técnicos do uso de IA em larga escala. Anderson ainda dá dicas valiosas para quem quer começar a aprender IA na prática, destacando oportunidades de carreira, ferramentas como LangGraph e os desafios da área em 2025. Um episódio essencial para PMs, devs e criadores de produtos digitais.//// Onde encontrar o convidada: Anderson Amaral | Co-Founder @ Scorashttps://www.linkedin.com/in/andersonlamaral/// 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/ProductGurus-AI-Specialist/// Outros parceiros:Codando sem Codar - A maior comunidade de AI (Vibe) Coding do Brasil: https://codandosemcodar.com.br/?utm_campaign=pg_podcastCurling - Do treinamento à criação de soluções com IA, estamos em cada etapa. https://www.usecurling.com//// Nesse episódio abordamos:A combinação de múltiplos LLMs para resolver tarefas de forma coordenada. Scoras Academy já formou quase 500 alunos em menos de 6 meses. A diferença entre LLM e agente é que o agente age no mundo com base em instruções fixas. Modelos chineses como o DeepSeek são mais eficientes e baratos por design. O LandGraph é uma ferramenta poderosa para criar sistemas multiagente personalizados. Pequenos modelos (SLMs) resolvem 80% dos problemas empresariais de IA. O maior desafio atual não é técnico, mas ético e de segurança no uso da IA. Profissionais introspectivos e sem habilidade de comunicação tendem a ser substituídos por IA. Agentes de IA têm potencial para gerar golpes e deepfakes — mais perigosos que NFTs. Comece com casos reais simples e depois evolua para soluções como LangGraph e DuckDB./// Capítulos00:00 Introdução e apresentação do convidado01:41 Origem da Scoras e a criação das empresas04:30 Crescimento da Scoras Academy e carência de talentos no Brasil07:59 Cupom e convite para estudar na Scoras Academy10:28 Diferença entre LLM e agentes autônomos16:09 Como funciona o treino de modelos de IA19:29 Por que modelos chineses são mais baratos?23:08 DeepSeek e eficiência computacional29:08 Demonstração prática: como funciona um sistema multiagente39:10 Diferença entre LLM e SLM (Small Language Model)42:08 Desafios técnicos e éticos dos agentes de IA48:12 Agentes de IA viraram o novo "NFT"?54:28 O futuro do desenvolvimento com IA e ferramentas como Devin01:00:06 Conselhos práticos para quem quer aprender IA01:07:28 Encerramento e convite final/// 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 :Microsoft a bloqué le mail de Karim Khan de la CPIiOS 26 en approche: les prévisions pour la WWDCLa Switch 2 arrive: tout savoir !Le 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 par Daniel BejaLe Rendez-vous Tech épisode 621 – L'autonomie informatique n'est plus une option Microsoft vs CPI, WWDC & iOS 26, Switch 2---Liens :
In this first of a two part series of episodes on federated learning, we dive into the evolving world of federated learning and distributed AI frameworks with Patrick Foley from Intel. We explore how frameworks like OpenFL and Flower are enabling secure, collaborative model training across silos, especially in sensitive fields like healthcare. The conversation touches on real-world use cases, the challenges of distributed ML/AI experiments, and why privacy-preserving techniques may become essential for deploying AI to production.Featuring:Patrick Foley – LinkedInChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XLinks:IntelOpenFLSponsors:NordLayer is a toggle-ready network security platform built for modern businesses. It combines VPN, access control, and threat protection in one easy-to-use platform. No hardware. No complex setup. Just secure connection and full control—in less than 10 minutes. Up to 22% off NordLayer yearly plans plus 10% on top with the coupon code practically-10.
Traditional businesses are transforming to enhance consumer engagement and operational efficiency by integrating advanced technologies, helping them stay competitive in the digital age; how can technology best support this transformation?This week, Dave, Esmee and Rob talk to Sandeep Seeripat, CIO at Twinings about how the 300-year-old tea company is undergoing a business transformation. They explore strategies to enhance consumer engagement and operational efficiency, and how Twinings is repositioning itself in the digital world.TLDR00:40 Introduction of Sandeep Seeripat04:03 Rob is confused about by the AI's overly sycophantic behavior07:20 Conversation with Sandeep about three Centuries of Innovation at Twinings43:18 What if brands created with the sensitivity of an artist?53:25 Capture that perfect picture in South AfricaGuestSandeep Seeripat: https://www.linkedin.com/in/sandeepseeripat/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
Darshan H. Brahmbhatt, Podcast Editor of JACC: Advances, discusses a recently published original research paper on Automated, Standardized, Quantitative Analysis of Cardiovascular Borders on Chest X-Rays Using Deep Learning.
Au programme :La conférence Google I/O et Veo 3: la vidéo par IA franchit le rubiconSam Altman et Jony Ive se marient (presque)Accrochez-vous, on va parler d'aspirateursLe 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 par Daniel BejaLe Rendez-vous Tech épisode 620 – C'est terminé: la vidéo par IA franchit le rubicon – Veo 3, Google I/O, Sam Altman & Jony Ive, Pencilvac & Fluffycones---Liens :
Full Playlist: https://www.youtube.com/playlist?list=PLfofppTiRUZza7kewuD4rnI8hvhfQ4_INAlso available in audio only formats at https://podcasters.spotify.com/pod/show/theartprofessorspodcastOriginal art available on Etsy https://www.etsy.com/shop/studiotwelvehundredSupport:Tip Link - https://streamlabs.com/thezimvideo1/tipYouTube Member - https://www.youtube.com/thezimvideo/joinPatreon - https://www.patreon.com/thezimPaypal - https://www.paypal.com/paypalme/creatorzimVenmo - https://venmo.com/thezimEtsy - https://www.etsy.com/shop/studiotwelvehundredDonate Ethereum - 0x34814104Bb1d6579569Ef7463CeFaa94Ec2cDe44NFT's - https://rarible.com/thezimYoutube - https://www.youtube.com/thezimvideoTwitch - https://www.twitch.tv/thezimvideoTikTok - https://www.tiktok.com/@thezimBlueSky - https://bsky.app/profile/thezimvideo.bsky.socialDiscord - https://discord.gg/7wbUFVxJ8fStream my music: Now All No Wall EPSpotify: https://found.ee/UCKKdApple Music: https://found.ee/cHRkRChannel Merch:https://www.etsy.com/listing/1402151936/zim-2023-exclusive-t-shirthttps://www.amazon.com/s?rh=n%3A7141123011%2Cp_4%3AtheZimhttp://thezim.com/#art #podcast
[AAA] 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. This week, in what may or may not be our 100th episode, Dave, Esmee and Rob talk to James Wilson, AI Ethicist and Lead Gen AI Architect and Philip Harker, Advisory Lead, Insights and Data at Capgemini UK, about exploring the deep importance of ethics as we move forward into the intelligence age. TLDR00:42 Is this really our 100th episode or not?04:38 What is a team AAA episode and welcoming James and Philip06:12 Rob sets the stage, why AI Ethics matters09:42 In-depth chat with James and Philip59:11 Exploring AI and quantum as innovation boosters1:06:00 A quiet weekend and Safe AI for KidsGuestsJames Wilson: https://www.linkedin.com/in/james-wilson-1938a1/Philip Harker: https://www.linkedin.com/in/philip-harker-243300/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
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/
Understanding the true environmental cost of digital innovation is crucial for governments aiming to embed sustainability into their digital delivery processes. Governments are embedding sustainability into the heart of digital delivery. Can governments ensure that their digital advancements contribute positively to the environment while maintaining efficiency and effectiveness in their services?This week, Dave, Esmee, and Rob talk to Liam Walsh, Chief Architect, and Paul Mukherjee, CTO at the UK Department for Environment, Food and Rural Affairs (Defra), to explore how the UK government is embedding sustainability into the heart of digital delivery—and holding tech suppliers accountable.TLDR00:32 Introduction of Liam Walsh and Paul Mukherjee01:47 Rob is not confused but Marcel has frustrations with the slow pace of AI implementation05:50 Discussion with Liam and Paul on integrating sustainability within government operations31:17 The significance of Fusion Teams36:18 Attending a gig and reading AI books in front of the caravanGuestsLiam Walsh: https://www.linkedin.com/in/liamjameswalsh/Paul Mukherjee: https://www.linkedin.com/in/paulmukherjee/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 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
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 :
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)
At Knowledge 2025, the spotlight is on big announcements and bold innovations—but we're taking you behind the scene!. In this two-part special, we dive into the engine driving ServiceNow's evolution, with exclusive conversations you won't hear on the main stage.In Part 2, Dave, Esmee, and Rob speak with Amanda Joslin, Senior Director of Platform and AI Innovation Product Management at ServiceNow, about the latest announcements from Knowledge 2025. They discuss how AI is being embedded directly into workflows and customer experiences through proactive, intelligent automation. TLDR02:09 Introduction of Amanda Joslin and Knowledge 202502:48 Rob is confused about seating at large conferences09:45 Conversation with Amanda Joslin on the main announcements at Knowledge 2025 and the ServiceNow platform52:20 Kill the Backlog and moving toward a zero-backlog operating model57:32 Jamaica, sunshine, and the sea GuestAmanda Joslin: https://www.linkedin.com/in/amandajoslin/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
At Knowledge 2025, the spotlight is on big announcements and bold innovations—but we're taking you behind the scene!. In this two-part special, we dive into the engine driving ServiceNow's evolution, with exclusive conversations you won't hear on the main stage.In Part 1, Dave, Esmee, and Rob sit down with Karel van der Poel, SVP of Products at ServiceNow, to reflect on a decade of growth. They explore what it really takes to drive meaningful innovation—not just scattered ideas, but a clear vision, the ability to scale, and a focus on lasting impact.TLDR00:54 Welcome to Knowledge 2025: Inside ServiceNow's flagship conference05:30 Rob is confused about the tension between Big Tech, Big Government, and Innovation 12:22 Conversation with Karel van der Poel, scaling innovation at ServiceNow 51:30 Designing trust and what it takes to build AI agents people rely on 59:40 From platforms to the open seaGuestKarel van der Poel: https://www.linkedin.com/company/andersindset/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
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
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
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.
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