Podcasts about Edge computing

AI can finally write back to the plant floor, but only if you can trust it. Chris Stevens and Annemarie Breu of Siemens explain how orchestration makes that safe.Industrial AI has reached a turning point. Manufacturers can already collect data, contextualize it, and surface insights, but the hardest step has always been turning insight into action on real control equipment. Chris Stevens and Annemarie Breu of Siemens explain how an orchestration layer finally closes that loop. Annemarie frames the tension clearly. Automation depends on determinism, while large language models are probabilistic by design, so the goal is to bring that discipline into AI and validate any suggestion before it changes a set point.Most executive conversations start with return on investment, and two forces are making the case easier to prove. The workforce shortage has stretched the expected payback window from 18 months toward 36 months, and when a line cannot run for lack of people every idle minute costs thousands of dollars. The other driver is overall equipment effectiveness, since most plants run near 70 percent OEE and even a fraction of a percent of gain can justify a project. Energy is a standout case too. A BorgWarner sustainability effort used a digital twin to flatten demand peaks and reportedly paid for itself in under six months, even as data center growth pushes electricity demand higher through 2040.On trust and safety, Annemarie borrows a principle from industrial safety. Just as fail safe IO modules rely on two channel evaluation, every AI suggestion is validated against a state machine, a workflow, or a physics based digital twin before the orchestration layer passes it to a controller. With virtual commissioning and soft PLCs a change can be tested virtually, approved by a human in the loop, and only then written to control, an approach PepsiCo and NVIDIA echoed at CES when they called the digital twin a must have. Making AI real, the pair argue, comes down to discipline, clear scope, acceptance criteria, and focused 90 day challenges, plus the change management and user experience that drive adoption. Their favorite quick win is preventive maintenance driven by machine data, which both BorgWarner and Maersk tied to millions in savings.About Chris StevensChris Stevens is President of US Automation at Siemens, where he leads a roughly one billion dollar business spanning software, services, and hardware. He brings more than 25 years across Siemens Digital Industries, starting in the field selling assembly and test equipment, moving into the software and digital twin world, and returning to automation to bring the hardware and software sides of the business together.About Annemarie BreuAnnemarie Breu is a senior technology leader at Siemens Digital Industries focused on automation software deployment and customer technology partnerships in the US. She began at Siemens about a decade ago as a systems engineer in the San Francisco Bay Area, working with consumer electronics manufacturers on virtual commissioning and digital twins. Her work today centers on bringing the determinism and reliability of automation into industrial AI.Timestamps0:00 Introduction and Automate 2026 preview2:50 Meet Chris Stevens and Annemarie Breu9:30 The first AI question is always ROI14:00 Workforce gaps and OEE drive the business case19:30 Energy management and the data center demand surge23:20 Data, sensors, and contextualization requirements28:00 Guardrails, hallucinations, and two channel validation32:40 The digital twin and the human in the loop37:40 How partners and integrators move up the stack45:30 What it takes to make AI real on the floor55:50 Preventive maintenance as a quick win59:40 Predictions, career advice, and book picksAbout Your HostsVladimir Romanov is a co-host of The Manufacturing Hub Podcast and the founder of Joltek, an independent manufacturing and industrial automation consulting firm specializing in modernization strategy, digital transformation, and workforce development. Joltek works with manufacturers and investors to de-risk modernization and build the internal capability to sustain results.Connect with Vlad: https://www.linkedin.com/in/vladromanov/Want to go deeper? Vlad and the team at Joltek have covered related topics here:Edge Computing and the Value of AI in Manufacturing Data: https://www.joltek.com/blog/edge-computing-ai-value-manufacturing-dataIT and OT Architecture Integration: https://www.joltek.com/services/service-details-it-ot-architecture-integrationDave Griffith is a co-host of The Manufacturing Hub Podcast and founder of Capelin Solutions, an industrial automation firm helping manufacturers adopt smart manufacturing technology. He brings 15 years of experience in industrial automation and digital transformation.Connect with Dave: https://www.linkedin.com/in/davegriffith23/Subscribe to Manufacturing Hub: https://www.manufacturinghub.liveLinkedIn: https://www.linkedin.com/company/manufacturing-hub-networkYouTube: https://www.youtube.com/@ManufacturingHub

In this episode of The Electropages Podcast, host Robin Mitchell speaks with Ulderico Arcidiaco, CEO and Co-Founder of Sfera Labs, about the company's latest industrial Raspberry Pi platform, the Strato Pi Plus. Ulderico explains how Sfera Labs combines Raspberry Pi computing with industrial-grade connectivity, reliability, and edge computing capabilities. The discussion explores the challenges of designing hardware for industrial environments, including isolated RS485 communications, CAN FD networking, power management, long-term availability, and remote deployment. The conversation also covers the current memory and supply chain situation affecting Raspberry Pi products, why pricing uncertainty has become a major challenge for industrial developers, and why availability often matters more than cost for long-life industrial systems. A major focus of the episode is the architecture of the Strato Pi Plus, which combines a Raspberry Pi 5 with an RP2354 microcontroller. Ulderico explains how the microcontroller can manage communications, watchdog functions, power control, failover systems, and storage management independently of the main processor. This allows developers to create highly reliable edge computing systems capable of recovering from faults, switching boot devices, managing power consumption, and maintaining operation in remote installations. Engineers will also hear discussions on CAN bus timing, real-time processing, industrial automation, energy storage systems, environmental monitoring, maritime applications, and the benefits of combining high-performance computing with deterministic microcontroller control.  Whether you're developing industrial automation systems, edge servers, remote monitoring solutions, or Raspberry Pi-based products, this episode provides valuable insight into designing reliable embedded platforms for demanding real-world environments.

In episode # 304 of the Pool Nation Podcast, Edgar De Jesus and Zac "The Pool Boy" Nicholas sit down with Jeremy Young and Orlando Gadea from Fluidra to reveal one of the biggest pool industry technology launches in years: the all-new AquaLink Edge platform. This isn't just another automation panel. Fluidra shares how AquaLink Edge is built around edge computing, smarter equipment communication, local processing, enhanced homeowner experiences, and a future ecosystem designed to help pool professionals run more efficient and profitable businesses. The conversation dives deep into automation, connected equipment, wireless communication, AI-driven pool management, smarter service operations, and how Tracker IO is helping transform the way pool companies manage routes, inventory, service calls, and customer experiences. Whether you're a pool service professional, builder, repair technician, retailer, or industry leader, this episode provides an exclusive first look at where pool technology is heading and how it will impact your business over the next decade. TIMESTAMPS 00:00 Introduction & Welcome 02:00 Meet Fluidra's Jeremy Young & Orlando Gadella 06:00 Heritage Pro Service Academy & Pool Pro Challenge Updates 08:00 Jeremy's Journey: From Pool Construction to Fluidra Innovation 15:00 Why Education & Training Matter in the Pool Industry 24:00 Orlando's Background in Digital Technology & Why He Joined Fluidra 27:00 The Official AquaLink Edge Reveal 28:00 Edge Computing vs Cloud Computing Explained 30:00 Creating Better Pool Owner Experiences 32:00 New In-Can Display & Home Display Features 35:00 Why Pool Automation Must Work Without Internet 40:00 Built-In Flow Monitoring & Smarter Equipment Control 43:00 Five Years of Development Behind AquaLink Edge 47:00 Easier Setup, Faster Installation & Wireless Communication 52:00 Personalized Access for Homeowners, Service Pros & Airbnb Properties 56:00 Service Mode Improvements & Smart Notifications 01:03:00 Wireless Equipment Discovery & Future Product Ecosystem 01:08:00 Customer Experience vs Traditional Automation 01:15:00 The Future of Connected Pool Equipment 01:19:00 Tracker IO & The Future of Pool Service Management 01:27:00 How Data Will Transform Pool Businesses 01:32:00 Future Integration Between Pool Builders & Service Companies 01:35:00 AquaLink Edge Release Timeline & Launch Plans 01:37:00 Final Thoughts & Closing Remarks A special thank you to our Visionary Partners for supporting Pool Nation and helping us elevate the pool industry through education, training, and community: The SPPA BluRay XL AquaStar Pool Products Natural Chemistry Raypak Heritage Pool Supply Group Hayward Pool Products Poolside Tech Pool Brain Nidec / US Motors Encore Brands OnCore Filtration Your commitment to pool professionals helps us continue delivering world-class education and content to the industry.  

On this episode Sean Mallean, Head of Global Innovation at NCR Atleos, makes a strong case for how an older technology -- edge computing -- can team up with a mighty mini version of todays LLMs -- the small language model -- to produce better banking results for financial institutions. Add in biometrics to reduce friction and you're looking at a vision of banking that best serves customers and employees alike.

How is AI forcing our networks to change? This week, Technology Now is diving into the world of network architecture and asking how AI is forcing us to rethink what it looks like. We ask how AI requirements are different to regular computing, we explore why this makes cacheing obsolete, and we ask how our networks are going to continue changing into the future to cope with the demands of our new AI native world. AE Natarajan, SVP, general Manager for Routing Infrastructure Solutions, HPE networking, tells us more.This is Technology Now, a weekly show from Hewlett Packard Enterprise. Every week, hosts Michael Bird and Sam Jarrell look at a story that's been making headlines, take a look at the technology behind it, and explain why it matters to organizations.About AE: https://www.linkedin.com/in/ae-natarajan-b79202/

This week was pretty exciting: Microsoft unveiled its Frontier Fine Tuning along with a new hardware stack and developer tools, while NVIDIA launched its foray into PC powered AI. Two big themes here: first is reducing computing cost as data centers start driving up all our AI cost, and second to make AI ever more personal for you and your company. You'll also see that we've optimized Galileo into the Microsoft Copilot and you can get early access below, with GA coming later this summer. Even if you're not an AI or PC geek this information is important because the way you focus your attention on AI has to change. We launch HR 2030 and the Josh Bersin Institute next week, stay tuned! Additional Information AI Prices Are Going Up, Up, Up – And What This Means For Enterprise AI Satya Nadella Keynote at Build (go to 1:45 for Frontier Fine Tuning announcement) Jensen Huang DTC Keynote in Taiwan More on Microsoft Frontier Fine Tuning for Copilot     Chapters (00:00:00) - AI Token Maxing and the High Cost of AI(00:05:03) - Microsoft's Edge computing and fine-tuning the(00:09:11) - How Nvidia Went From Graphics to AI

Nvidia was tot nu toe een van de sloomste chipaandelen van het jaar. Intel, AMD, Samsung, SK Hynix en zelfs ons eigen Besi fietsten de gifgroene chipreus lachend voorbij. Maar misschien is dat nu voorbij! Het bedrijf komt met een nieuwe superchip en dat betekent - naar eigen zeggen - een heel nieuw tijdperk voor computers. Het betekent in ieder geval flinke pijn voor beleggers in Qualcomm en Intel. Iets verderop zitten beleggers in Arm, Microsoft, ServiceNow en Hewlett Packard juist feest te vieren. We bespreken waarom. Verder doet de opvolger van Warren Buffett zijn eerste overname, in een totaal andere business: huizen bouwen in de VS. We bekijken waarom Berkshire opeens 6.8 miljard dollar in een sector plempt waar het kroonjuweel van Buffett al flinke belangen in heeft. Gast Erik Mauritz heeft het te doen met Greg Abel, die moeilijk in de voetsporen van het Orakel van Omaha kan treden. Maar toch ziet hij in Berkshire Hathaway een van de betere manieren om jezelf te beschermen tegen oververhitte AI-aandelen wereldwijd. Oh ja, en vlák voor uitzending diende Anthropic nog even de vertrouwelijke documenten in voor zijn beursgang. Nondeju! Verder in deze aflevering: SpaceX en vage cryptoconstructies, futurecontracten en andere dubieuze derivaatjes SoftBank steekt 75 miljard euro in grootste datacenterproject van Europa Wapengekletter: Czechoslovak Group aast nog steeds op een belang in KNDS, maar moet daarbij Franse en Duitse staat dulden CEO-loos Heineken Te gast: Erik Mauritz van Trade Republic. BNR Beurs is een journalistiek onafhankelijke productie, mede mogelijk gemaakt door Saxo. Over de makers: Jelle Maasbach is presentator van BNR Beurs en freelance financieel journalist. Zijn favoriete aandeel om over te praten is Disney, maar daar lijkt hij de enige in te zijn. Sinds de eerste uitzending van BNR Beurs is 'ie er bij. Maxim van Mil is presentator van BNR Beurs en journalist bij BNR, waar hij zich focust op de financiële markten en ontwikkelingen in de tech-wereld. Je krijgt hem het meest enthousiast als hij kan praten over ASML, of oer-Hollandse bedrijven zoals Ahold of ABN Amro. Jorik Simonides is presentator van BNR Beurs, economieredacteur en verslaggever bij BNR. Hij wordt er vooral blij van als het een keer níet over AI gaat. Milou Brand is presentator van BNR Beurs, freelance podcastmaker en columnist bij het Financieele Dagblad. Jochem Visser is presentator van BNR Beurs, maakt Beursnerd XL en is redacteur bij de podcast Onder Curatoren. Vraag hem naar obscure zaken op financiële markten en hij vertelt je waarom het eigenlijk nóg leuker is dan je al dacht. Over de podcast: Met BNR Beurs ga je altijd voorbereid de nieuwe beursdag in. We praten je in een kleine 25 minuten bij over alle laatste ontwikkelingen op de handelsvloer. We blijven niet alleen bij de AEX of Wall Street, maar vertellen je ook waar nog meer kansen liggen. En we houden het niet bij de cijfers, maar zoeken ook iedere dag voor je naar duiding van scherpe gasten en experts. Of je nu een ervaren belegger bent of net begint met je eerste stappen op de beurs, de podcast biedt waardevolle inzichten voor je beleggingsstrategie. Door de focus op zowel de korte termijn als de lange termijn, helpt BNR Beurs luisteraars om de ruis van de markt te scheiden van de essentie. Van Musk tot Microsoft en van Ahold tot ASML. Wij vertellen je wat beleggers bezighoudt, wie de markten in beweging zet en wat dat betekent voor jouw beleggingsportefeuille.See omnystudio.com/listener for privacy information.

Nvidia was tot nu toe een van de sloomste chipaandelen van het jaar. Intel, AMD, Samsung, SK Hynix en zelfs ons eigen Besi fietsten de gifgroene chipreus lachend voorbij. Maar misschien is dat nu voorbij! Het bedrijf komt met een nieuwe superchip en dat betekent - naar eigen zeggen - een heel nieuw tijdperk voor computers. Het betekent in ieder geval flinke pijn voor beleggers in Qualcomm en Intel. Iets verderop zitten beleggers in Arm, Microsoft, ServiceNow en Hewlett Packard juist feest te vieren. We bespreken waarom. Verder doet de opvolger van Warren Buffett zijn eerste overname, in een totaal andere business: huizen bouwen in de VS. We bekijken waarom Berkshire opeens 6.8 miljard dollar in een sector plempt waar het kroonjuweel van Buffett al flinke belangen in heeft. Gast Erik Mauritz heeft het te doen met Greg Abel, die moeilijk in de voetsporen van het Orakel van Omaha kan treden. Maar toch ziet hij in Berkshire Hathaway een van de betere manieren om jezelf te beschermen tegen oververhitte AI-aandelen wereldwijd. Oh ja, en vlák voor uitzending diende Anthropic nog even de vertrouwelijke documenten in voor zijn beursgang. Nondeju! Verder in deze aflevering: SpaceX en vage cryptoconstructies, futurecontracten en andere dubieuze derivaatjes SoftBank steekt 75 miljard euro in grootste datacenterproject van Europa Wapengekletter: Czechoslovak Group aast nog steeds op een belang in KNDS, maar moet daarbij Franse en Duitse staat dulden CEO-loos Heineken Te gast: Erik Mauritz van Trade Republic. BNR Beurs is een journalistiek onafhankelijke productie, mede mogelijk gemaakt door Saxo. Over de makers: Jelle Maasbach is presentator van BNR Beurs en freelance financieel journalist. Zijn favoriete aandeel om over te praten is Disney, maar daar lijkt hij de enige in te zijn. Sinds de eerste uitzending van BNR Beurs is 'ie er bij. Maxim van Mil is presentator van BNR Beurs en journalist bij BNR, waar hij zich focust op de financiële markten en ontwikkelingen in de tech-wereld. Je krijgt hem het meest enthousiast als hij kan praten over ASML, of oer-Hollandse bedrijven zoals Ahold of ABN Amro. Jorik Simonides is presentator van BNR Beurs, economieredacteur en verslaggever bij BNR. Hij wordt er vooral blij van als het een keer níet over AI gaat. Milou Brand is presentator van BNR Beurs, freelance podcastmaker en columnist bij het Financieele Dagblad. Jochem Visser is presentator van BNR Beurs, maakt Beursnerd XL en is redacteur bij de podcast Onder Curatoren. Vraag hem naar obscure zaken op financiële markten en hij vertelt je waarom het eigenlijk nóg leuker is dan je al dacht. Over de podcast: Met BNR Beurs ga je altijd voorbereid de nieuwe beursdag in. We praten je in een kleine 25 minuten bij over alle laatste ontwikkelingen op de handelsvloer. We blijven niet alleen bij de AEX of Wall Street, maar vertellen je ook waar nog meer kansen liggen. En we houden het niet bij de cijfers, maar zoeken ook iedere dag voor je naar duiding van scherpe gasten en experts. Of je nu een ervaren belegger bent of net begint met je eerste stappen op de beurs, de podcast biedt waardevolle inzichten voor je beleggingsstrategie. Door de focus op zowel de korte termijn als de lange termijn, helpt BNR Beurs luisteraars om de ruis van de markt te scheiden van de essentie. Van Musk tot Microsoft en van Ahold tot ASML. Wij vertellen je wat beleggers bezighoudt, wie de markten in beweging zet en wat dat betekent voor jouw beleggingsportefeuille.See omnystudio.com/listener for privacy information.

In Elixir Wizards S15E04, Charles Suggs and Emma Whamond are joined by Somtochi Onyekwere, a software engineer at Fly.io and contributor to the Corrosion distributed database project, to talk about distributed systems, infrastructure resilience, and the growing fragility of centralized cloud platforms.   We discuss what recent outages across major providers reveal about modern infrastructure and why more teams are starting to rethink assumptions around reliability, failover, and system design. Somtochi explains how Fly.io approaches geographic distribution, eventual consistency, and replication across nodes, along with the trade-offs that come with building systems this way.   The conversation explores CRDTs (Conflict-free Replicated Data Types), consensus, split-brain prevention, and what actually happens when distributed systems fail in production. We also talk about testing strategies, rollback planning, property-based testing tools, and how teams can reduce blast radius when things inevitably go wrong.   Along the way, we discuss AI infrastructure, sandboxing AI agents, and how newer workloads may add pressure to already centralized systems. The episode closes with practical advice for developers who want to build more resilient applications without over-complicating their architecture. Topics Discussed in this Episode: Corrosion and distributed database replication Centralized cloud fragility and recent outage patterns Distributed systems versus traditional cloud architectures Multi-region deployment strategies for Phoenix applications CRDTs and conflict resolution in distributed systems Eventual consistency versus strict consistency tradeoffs Consensus, leader election, and split-brain prevention Testing failover and recovery scenarios Property-based testing and Antithesis Rollback planning for database schema migrations Reducing blast radius through system isolation Health checks and blue-green deployment strategies Fly Proxy request routing and replay behavior Cross-region synchronization and replication challenges Single points of failure inside “redundant” systems Backup restoration testing and disaster recovery planning Network partitions and failure handling in production Infrastructure monitoring and operational visibility AI infrastructure workloads and operational strain Sandboxing and securing AI agents Sprites and AI workflows at Fly.io Latency improvements from geographic distribution Distributed systems tradeoffs in real-world environments Transitive dependency failures across cloud providers Practical resilience strategies for modern engineering teams Links Mentioned: https://fly.io https://github.com/superfly/corrosion https://docs.gitops.weaveworks.org/ FluxCD https://fluxcd.io/ Fly.io Stateful Sandbox Environments https://sprites.dev/ Cloudflare Workers AI Inference Platform https://www.cloudflare.com/products/workers-ai/ “An AI Agent Just Destroyed Our Production Data. It Confessed in Writing” Twitter post from PocketOS founder: https://x.com/lifeof_jer/status/2048103471019434248 Oct 2025 AWS Outage https://www.theguardian.com/technology/2025/oct/24/amazon-reveals-cause-of-aws-outage Dec 2025 Cloudflare Outage https://www.theguardian.com/technology/2025/dec/05/another-cloudflare-outage-takes-down-websites-linkedin-zoom July 2025 Crowdstrike Outage https://www.ibm.com/think/news/recent-crowdstrike-outage-what-you-should-know March 2026 Stryker Cyber Attack https://www.stryker.com/us/en/about/news/2026/a-message-to-our-customers-03-2026.html https://aws.amazon.com/ https://cloud.google.com/ https://azure.microsoft.com/en-us https://fly.io/docs/elixir/ CRDTs!! https://smartlogic.io/podcast/elixir-wizards/s13-e03-local-first-liveview-svelte-pwa/ https://antithesis.com/docs/resources/property_based_testing/ https://hex.pm/packages/proper

Nel mondo della creazione di contenuti digitali, con piattaforme come YouTube, Instagram e TikTok, si è consolidata un'ossessione collettiva per la qualità delle immagini. Eppure, spesso si trascura un aspetto che conta altrettanto, se non di più: l'audio. Un contenuto multimediale è, per definizione, un'esperienza multisensoriale e l'audio non può essere relegato ad accessorio, ma deve diventare la struttura portante del video. In questa puntata analizziamo le principali tecnologie che stanno aumentando la qualità del suono per i creatori di contenuti: dal beamforming all'intelligenza artificiale integrata nei dispositivi, fino alla rivoluzionaria tecnologia a 32-bit in virgola mobile che ha liberato i videomaker dal problema del clipping digitale. Per scoprire come queste tecnologie si traducono in pratica, abbiamo provato in anteprima il nuovo set di microfoni Mic Pro di Insta360.Nella sezione delle notizie parliamo del Google I/O 2026, dove sono stati presentati i nuovi agenti Gemini e gli smart glasses Android XR e dell'agenzia spaziale giapponese JAXA che sta sviluppando un motore ipersonico per aerei in grado di raggiungere Mach 5.--Indice--00:00 - Introduzione01:33 - Le novità dall'Android Show 2026 (Blog.Google, Luca Martinelli)03:10 - Scoperto un nuovo cristallo del primo test atomico (HDBlog.it, Matteo Gallo)04:31 - Raspberry Pi: un piccolo computer che sta cambiando il modo di innovare (Elisabetta Bianchi, Davide Fasoli, Luca Martinelli)41:22 - Conclusione--Testo--Leggi la trascrizione: https://www.dentrolatecnologia.it/S8E20#testo--Contatti--• www.dentrolatecnologia.it• Instagram (@dentrolatecnologia)• Telegram (@dentrolatecnologia)• YouTube (@dentrolatecnologia)• redazione@dentrolatecnologia.it--Brani--• Ecstasy by Rabbit Theft• Believe Me by CADMIUM, JAMZ, SIMONNE

Join KJ Burke, as he dives into the key highlights from NVIDIA's GTC 2026 conference. Discover the latest in AI advancements, robotics, space computing and enterprise strategies shaping the future of technology. To learn more, visit cdw.ca Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Steve finally fixed phillycocoa.org, and the journey from broken CircleCI pipelines and hijacked S3 buckets to a blazing-fast Cloudflare Pages site took one Side Project Saturday and an embarrassing number of Codex tokens. Then The Trio turns to the AI hype machine, and they're tired: tired of opaque token costs, tired of reviewing generated code that complicates everything it touches, and tired of an industry that mistakes syntax speed for software engineering. Fred Brooks called it in 1986, and The Trio is calling it now.## Chapters00:00 Introductions01:47 The Journey of Updating the Website06:38 Challenges with CircleCI and S3 Buckets09:23 Exploring Cloudflare Pages11:14 Navigating Cloudflare's User Interface14:22 Setting Up Automatic Deployments17:35 Managing DNS and SSL with Cloudflare23:07 LLM Development Fatigue26:15 Navigating Concerns and Costs in AI Usage29:11 LLMs are No Silver Bullet31:57 The Exhaustion of Code Review and Architectural Decisions36:25 Token Management and Cost Awareness in AI Tools40:07 The Economics of AI and Software Development42:45 The Hype vs. Reality of AI Tools46:34 Future Prospects of LLMs and Universal UI50:16 The Future of Edge Computing with LLMs53:08 The Evolution of Software Development and AI Integration54:17 AI in Sci-Fi: Myths vs. Reality57:54 The Challenges of Local Models and Hardware Limitations01:03:21 Outro & Upcoming Event01:09:21 Tag## Show Notes- Steve spent Side Project Saturday migrating phillycocoa.org from a broken CircleCI/S3 setup to Cloudflare Pages, burning his entire weekly Codex token budget in about three hours.- Cloudflare Pages handles Hugo builds automatically and manages SSL and CDN without manual config, all on a free tier that's plenty for the site.- Cloudflare's UI hides the Pages "Get Started" link below giant worker buttons, which Kotaro calls "the weirdest dark pattern."- Steve argues that syntax generation was never the real bottleneck in software engineering, citing Fred Brooks' 1986 essay "No Silver Bullet."- Aaron is worn out from reviewing AI-generated code and still having to make every architectural decision himself.- LLM costs are nearly impossible to forecast: a single prompt can burn a significant chunk of your plan, depending on model, tool calls, and context.- The Trio sees firms rushing to adopt LLM tooling before the ROI math makes sense, driven by hype rather than evidence.- ThePrimeagen's recent take on the shifting AI economy lines up with what Steve sees at work: token-based billing is starting to expose the real cost.- The Trio agrees local models running on personal hardware are the interesting long-term play, but RAM shortages make even basic setups expensive.- Kotaro closes with a dad joke: he thought his LLM skills landed him his current job, but it turns out...## Links**PhillyCocoa.org Update**Website: https://phillycocoa.org**Articles & Essays**"Let's talk about LLMs" by James Bennett: https://www.b-list.org/weblog/2026/apr/09/llms/"No Silver Bullet" by Fred Brooks: https://www.cs.unc.edu/techreports/86-020.pdf**Videos**"The AI economy is about to change" by ThePrimeagen: https://youtu.be/_Q-e_nczWqM**One More Thing**"Beyond the Simulator: Perspectives on Modern App Development": https://luma.com/i00ll61z**PhillyCocoa:** https://phillycocoa.orgIntro music: "When I Hit the Floor", © 2021 Lorne Behrman. Used with permission of the artist.

In this episode of the Shift AI Podcast, Steve Mantle, Founder and CEO of Innov8.ag, Raj Khosla, Dean of the College of Agricultural, Human, and Natural Resources at Washington State University, and John Cox, soil scientist and fresh produce industry operator, join host Boaz Ashkenazy for a wide-ranging panel conversation on how AI and emerging technology are transforming agriculture from the ground up.Steve, Raj, and John each bring a distinct lens to the conversation — startup founder, academic dean, and hands-on operator — and together they paint a vivid picture of where precision agriculture has been and where it is going. The discussion opens with the human side of farming: the generational knowledge, seasonal intuition, and field-level pattern recognition that has defined agriculture for centuries.The panel also covers infrastructure realities, edge computing, rural connectivity gaps, ERP systems that still require on-premise servers, and the economic pressures pushing farmers to demand AI that delivers margin today, not in five years. The conversation closes with each guest sharing their two-word vision for the future of AI in agriculture: physical AI, bright and better, and hopeful foresight.This episode is essential listening for anyone who wants to understand how AI is moving beyond the office and into the fields, orchards, and packing houses that feed the world. A huge thanks to Washington State Academy of Sciences for including this event in their Deep Dive into AI in Agriculture and Washington State University's AgAID Institute for organizing this event held at Wenatchee Valley College. This all wouldn't be possible without the support from the funding sponsors the Association for the Advancement of Artificial Intelligence (AAAI) and the USDA ARS.Chapters[00:00] Event Introduction and Background with Jordan Jobe of the AgAid Institute[03:50] Boaz Introduces Himself and the Shift AI Podcast[08:04] Podcast Recording Begins: Welcoming the Panel[08:48] Steve Mantle: From Irrigation Hand Lines to Innovate Ag[09:40] Raj: From a Radio Science Program in India to Precision Agriculture Dean[11:24] John Cox: From Furniture Assembly to Apple Orchards and Kyrgyzstan[13:22] The Human Side of Farming: Intuition, Resilience, and Generational Knowledge[15:10] How GPS Unlocked Precision Agriculture and Field-Level Heterogeneity[16:48] Multi-Generational Farm Knowledge as a Living Large Language Model[18:09] Notebook LM Meets the Farm: The Harvest Replay Concept[21:16] Batteryless Biodegradable Sensors and the Future of Field Diagnostics[24:30] Precision Irrigation Prescription Maps and Dynamic Field Management[26:18] Computer Vision in the Apple Packing House[27:58] AI as a Global Expert: Diagnosing Crop Disease in Kyrgyzstan[30:15] Constraints in Ag AI: Data Stacks, Fragmented Systems, and Cultural Resistance[33:50] Build vs. Buy and the Change Agent Problem in Agriculture[35:50] Edge Computing, On-Premise Servers, and Hybrid Infrastructure on the Farm[39:09] Rural Connectivity: Broadband Gaps and the Starlink Reality[41:54] Economics of Ag AI: Labor Costs, Tightening Margins, and ROI[44:28] Moving from Spreadsheets to Agents: Why Trust Is the Real Barrier[45:50] Future Skills: What the Next Generation of Farmers Needs to Know[48:05] FFA Ag Tech Innovation Day and Hands-On Learning for Students[50:07] Two Words for the Future: Physical AI, Bright and Better, Hopeful Foresight[54:15] How to Connect with Steve, Raj, and JohnConnect with the GuestsSteve MantleLinkedIn: https://www.linkedin.com/in/stevemantle/Raj (Dean, WSU College of Agricultural, Human, and Natural Resources)LinkedIn: https://www.linkedin.com/in/raj-khosla-2566a819/John CoxLinkedIn: https://www.linkedin.com/in/jonathan-cox-soildr/Connect with Boaz AshkenazyLinkedIn: https://www.linkedin.com/in/boazashkenazy/Email: info@shiftai.fm

Send us Fan MailIn this episode of Embedded Insiders, Ken sits down with Andrea Gallo, CEO of RISC-V International, to discuss the company's upcoming RISC-V Summit in Bologna from June 8 - 11. They also recap this year's embedded world exhibition and conference, highlighting AI at the edge and industrial robotics as the top trends at the show. Next, Rich and Vin are back with another Dev Talk discussing the different definitions of AI, and recent news about Arm becoming a silicon provider.But first, Ken and I are discussing upcoming travel to NI Connect in Fort Worth and Computex in Taipei. For more information, visit embeddedcomputing.com

In deze aflevering van Techzine Talks bespreken we de spectaculaire groeicijfers van Google Cloud (60%+), de verschillende strategieën van hyperscalers zoals AWS en Microsoft, en waarom AI momenteel duurder is dan menselijke arbeid. We duiken diep in de ontwikkelingen rondom AI chips, de relatie tussen OpenAI en Microsoft, en de vraag wanneer AI investeringen zich echt gaan terugbetalen.We analyseren waarom Google zo hard groeit met Gemini Enterprise, hoe AWS en Microsoft verschillende wegen bewandelen met hun AI-aanbod, en welke rol hardware (TPUs, GPUs, CPUs) speelt in de AI-revolutie. Ook bespreken we kritisch of de enorme investeringen in AI wel rendabel zijn, gezien de hoge kosten per token en de beperkte succesvolle implementaties.Daarnaast komen praktische toepassingen aan bod: van codegeneratie bij Google (70% AI-geschreven) tot customer service agents en de vraag of edge computing eindelijk doorbreekt. Een eerlijke discussie over hype versus realiteit in de AI-wereld.Belangrijkste onderwerpen:• Google Cloud kwartaalcijfers: 60%+ groei door Gemini Enterprise• Waarom AWS, Google en Microsoft verschillende AI-strategieën hebben• AI chips: TPUs, GPUs en de rol van Intel, Nvidia en ARM• OpenAI's consumentenfocus versus Anthropic's zakelijke aanpak• Kosten van AI: waarom agents duurder zijn dan menselijke medewerkers• Praktische use cases: code generatie, customer service, HR automation• Edge computing en on-premise AI infrastructuur• Kritische blik op AI ROI en wanneer investeringen zich terugbetalenHoofdstukken:0:06 - Welkom terug bij Techzine Talks1:52 - Google Cloud groei van 60+ procent3:45 - AI infrastructuur en vraag3:58 - Hyperscalers en hun AI strategieën17:20 - OpenAI en Microsoft relatie18:08 - AI chips en hardware ontwikkelingen19:14 - AI kosten versus menselijke arbeid21:00 - Praktische AI adoptie en use casesTags: Google Cloud, AI infrastructuur, hyperscalers, AWS, Microsoft Azure, OpenAI, Anthropic, AI chips, TPU, GPU, Gemini Enterprise, cloud computing, AI kosten, ROI, edge computing, Nvidia, Intel, customer service AI, code generatie

Para acelerar su crecimiento en América Latina, Intel designó a João Bortone como Director General para la región, donde busca fortalecer su presencia regional en inteligencia artificial, centros de datos, computación de alto rendimiento y Edge Computing, dentro de una etapa clave para el mercado de semiconductores.

El reciente giro de Nvidia hacia la "IA Física" y la robótica industrial está creando un nuevo superciclo económico que transformará la logística, el agro y la minería. Si tu empresa depende de maquinaria pesada, tu infraestructura de red (Edge Computing e IoT) debe actualizarse hoy. Descubre en este análisis de TeleinfoPress cómo prepararte para rentabilizar la era de las máquinas autónomas.

How do you update a network without downtime? This week, Technology Now is diving into the world of telcos and how they keep critical infrastructure running while continuing to improve their systems. We ask how silos have been used historically by telcos, how AI and cloud are being embraced and how you manage the switch from old to new architecture without impacting users. Franz Seiser, Head of the Data Tribe at Deutche Telekom, tells us more.This is Technology Now, a weekly show from Hewlett Packard Enterprise. Every week, hosts Michael Bird and Sam Jarrell look at a story that's been making headlines, take a look at the technology behind it, and explain why it matters to organizations.About Franz:https://www.linkedin.com/in/franz-seiser-658b94/

Industrial AI is moving past the chatbot phase. From the Hannover Messe show floor to system integration workflows, here's what end users actually want now.Vlad just returned from his first Hannover Messe, the largest industrial automation and manufacturing trade show in Europe. The takeaway that defined the week was a shift in how end users open conversations. A year ago, every booth visit started with the question, do you have AI? This year every vendor has some flavor of AI, so the question has flipped back to the one that actually matters. How does your product solve a specific problem in my plant? Vlad and Dave unpack what that shift means for vendors, integrators, and the end users buying these tools.On the end user side, the reality is mixed. Most knowledge workers in manufacturing have access to Microsoft Copilot and use it for better emails and meeting notes. Everything else is still mostly experimentation. While auditing PLC and SCADA logic on a recent project, Vlad expected the customer to insist on a hardened on premise model with a Dell IPC and dedicated GPUs. Instead, they shrugged and said put it in ChatGPT, the boilerplate logic has no real IP. Data governance on the carpeted side of the business is mature. On the OT side, it barely exists, and that gap matters as more plant floor data flows toward AI tools.For systems integrators, AI is compressing timelines on slow, repetitive work. Tag validation, electrical drawing automation, screenshot to bill of materials extraction, and functional spec to PLC starting points are all in active development. The tradeoff is that some of these tools save four weeks of manual auditing but require a couple of weeks to set up correctly, and a probabilistic LLM still demands human signoff on safety and control logic. Senior engineers benefit most because they already know what good output looks like. The bigger industry question is what happens to the junior to senior pipeline if entry level work disappears.Hardware tells a different story. Moore's Law, first proposed in 1965, held for about 60 years before chip density at three nanometers and heat budgets broke the cost curve. GPUs on the consumer side have been roughly stagnant since the Nvidia 30 series. On the industrial side, demand for radical hardware change has been low. PLCs, switches, IO modules, and field protocols look much like they did twenty years ago. IO Link, the protocol that should be a baseline for any Industry 4.0 deployment, was founded in 2006. Image recognition has unlocked pick and place applications that used to be too expensive to engineer the traditional way.The workforce thread runs underneath all of this. UPS recently negotiated voluntary buyouts of roughly one hundred and fifty thousand dollars per driver to remove tens of thousands of positions, while large technology firms continue to lay off staff and reinvest in data centers.Timestamps0:00 Introduction1:50 Hannover Messe scale, halls, and country delegations7:20 Booth diversity from startups to hyperscalers and the German military12:20 Why end users have stopped asking, do you have AI19:00 The 1% on the bleeding edge versus the rest of industry25:50 End users sending boilerplate PLC code through ChatGPT29:20 Data governance on the OT side32:50 AI inside systems integration workflows39:50 Workforce shifts: UPS buyouts, FAANG layoffs, and reskilling47:20 Hardware innovation, Moore's Law, and the industrial side59:50 SCADA, MES, ERP, and AI generated dashboards1:03:30 Upcoming shows: Automate 2026, ICC, and moreReferencesHannover Messe: https://www.hannover-messe.deAutomate 2026: https://www.automateshow.comIgnition Community Conference: https://icc.inductiveautomation.comRockwell Automation Fair: https://www.rockwellautomation.com/automationfairAbout Your HostsVladimir Romanov is a co-host of The Manufacturing Hub Podcast and the founder of Joltek, an independent manufacturing and industrial automation consulting firm specializing in modernization strategy, digital transformation, and workforce development. Joltek works with manufacturers and investors to de-risk modernization and build the internal capability to sustain results.Connect with Vlad: https://www.linkedin.com/in/vladimirromanov/Want to go deeper? Vlad and the team at Joltek have covered related topics here:Edge Computing, AI, and the Value of Manufacturing Data: https://www.joltek.com/blog/edge-computing-ai-value-manufacturing-dataSystems Integrators in Manufacturing: https://www.joltek.com/blog/system-integratorsDave Griffith is a co-host of The Manufacturing Hub Podcast and founder of Capelin Solutions, an industrial automation firm helping manufacturers adopt smart manufacturing technology. He brings 15 years of experience in industrial automation and digital transformation.Connect with Dave: https://www.linkedin.com/in/davegriffith23/

Do we have enough energy to go around? This week Technology Now investigates how organisations can use their energy more efficiently. We ask how important energy sovereignty should be, we consider the financial benefits of savvy energy use, and we explore potential ways in which waste heat could be repurposed. Karim Abou Zahab, a Principal Technologist with the Sustainable Transformation Team at HPE tells us more.This is Technology Now, a weekly show from Hewlett Packard Enterprise. Every week, hosts Michael Bird and Sam Jarrell look at a story that's been making headlines, take a look at the technology behind it, and explain why it matters to organizations.About Karim:https://www.linkedin.com/in/karim-abouzahab/Sources:https://www.iea.org/reports/global-energy-review-2025/electricityhttps://www.neso.energy/energy-101/great-britains-monthly-energy-stats#:~:text=Great%20Britain's%20energy%20explained:%20March,lower%20demand%20across%20the%20country.

Send us Fan MailIn this episode of Embedded Insiders, Ken sits down with Sakyasingha Dasgupta, PhD., Founder, CEO, & Chairman of Edge Cortix, to discuss Edge AI and the impact both software and hardware have when they work together efficiently at the edge.Next, Rich and Ed Kaste, the Senior Vice President of the Ultra-Low Power Business at GlobalFoundries, discuss power consumption when building an Edge-based device. GlobalFoundries is one vendor that has a lot to say about power and the rules they set around it. But first, we're highlighting some important upcoming events:Register for the 2026 Automotive Technologies Virtual Conference on May 14th. For more information, visit embeddedcomputing.com

The rapid evolution of connected devices and technologies has transformed the Internet of Things (IoT) into increasingly intelligent and autonomous systems. This talk focuses on the progression from traditional IoT to the Artificial Intelligence of Things (AIoT), and further toward Agent-Based IoT (AB-IoT), also referred to as Agentic AI-enabled IoT. As intelligent agents become embedded within IoT ecosystems, they introduce new capabilities for autonomy and decision-making, but also significantly reshape the security landscape. In this talk, I first outline the technological evolution from IoT to AIoT and Agentic AI-enabled IoT systems. I then discuss how the adoption of agentic intelligence in IoT environments introduces emerging security risks and threats with particular emphasis on challenges related to authentication, access control, and trust management in highly distributed and autonomous environments. I also present potential approaches to address these challenges, including zero-trust security frameworks and context-aware machine learning–based access control mechanisms. Finally, this talk highlights current research challenges and open problems in securing Agentic AI-enabled IoT systems, outlining future directions for building resilient, trustworthy, and secure next-generation Agentic AI-enabled IoT infrastructures. About the speaker: Dr. Smriti Bhatt is an Assistant Professor of Cybersecurity in the School of Applied and Creative Computing at Purdue University. She has received her Ph.D. and M.S. in Computer Science from the University of Texas at San Antonio and did her doctoral research at the Institute for Cyber Security (ICS) and NSF CREST Center for Security and Privacy Enhanced Cloud Computing (C-SPECC). Dr. Bhatt's research focuses on security and privacy in the Internet of Things (IoT) and Cyber-Physical Systems (CPS) leveraging Cloud and Edge Computing. Her research interests also include the application of AI and Machine Learning to secure IoT and CPS infrastructures in various application domains, such as Smart Health, Smart Home, and Wearable IoT. Some of her current research work includes access control models, secure data communication, and anomaly detection for different domains in Cloud-Enabled IoT. She has several conference and journal publications, and also continually serves as an expert reviewer for various journals and technical program committees for several conferences and workshops.

What does bootc look like when it's actually running in production, not just in a lab? James Harmison joins the Fedora Podcast to talk about building custom bootc images across wildly different contexts: NVIDIA drivers, AGX Orin hardware with custom kernel RPMs, replacing RHCOS images in OpenShift, and even a stripped-down SteamOS-style couch gaming rig. We also get into his contributions to the Chunkah project and the real-world UX conversations shaping where bootc goes next. The Fedora Podcast brings you exclusive interviews and deep dives with the innovators and contributors who make the Fedora community amazing! From cutting-edge technologies to the production of the Fedora distribution itself, we chat with the minds behind it all. Whether you're a longtime user or just curious, there's always something new to discover in the world of Fedora.

This interview was recorded for the GOTO Book Club.http://gotopia.tech/bookclubCheck out more here:https://gotopia.tech/episodes/432Hannah Foxwell - Independent Consultant & Founder of "AI for the rest of us"Charles Humble - Freelance Techie, Podcaster, Editor, Author & ConsultantRESOURCESCharleshttps://bsky.app/profile/charleshumble.bsky.socialhttps://linkedin.com/in/charleshumblehttps://mastodon.social/@charleshumblehttps://conissaunce.comHannahhttps://bsky.app/profile/hannahfoxwell.nethttps://medium.com/@hannahfoxwellhttps://x.com/HannahFoxwellhttps://github.com/hannahfoxwellhttps://www.linkedin.com/in/hannah-foxwellLinkshttps://conissaunce.com/services.htmlhttps://www.aifortherestofus.co/newsletterhttps://conissaunce.com/music.htmlhttps://www.bbc.com/news/articles/cd0ynenr1enoDESCRIPTIONHannah Foxwell sits down with Charles Humble - speaker, advisor, podcast host, and author - to explore his e-book "Kubernetes at the Edge". They cover what "edge computing" actually means, why it matters across industries from precision agriculture to healthcare and retail, how to approach vendor selection and day-two operations, and why sustainability must be central to how we build and deploy technology. The conversation closes with a frank and thoughtful discussion about the responsibilities of the tech industry in the age of generative AI.RECOMMENDED BOOKSCharles Humble • Kubernetes at the Edge • https://www.conissaunce.com/kubernetes-edge-ebookCharles Humble • Professional Skills for Software Engineers • https://conissaunce.com/professional-skills-shortcutCharles Humble • The Developer's Guide to Cloud Infrastructure, Efficiency & Sustainability • https://conissaunce.com/sustainability-ebookBlueskyInstagramLinkedInFacebookCHANNEL MEMBERSHIP BONUSJoin this channel to get early access to videos & other perks:https://www.youtube.com/channel/UCs_tLP3AiwYKwdUHpltJPuA/joinLooking for a unique learning experience?Attend the next GOTO conference near you! Get your ticket: gotopia.techSUBSCRIBE TO OUR YOUTUBE CHANNEL - new videos posted daily!

Промкаст, 21.03.2026Технологии и их защита: кибербезопасность, облака и космос - интервью с Евгением ЧерешневымВ новом выпуске "Промкаста" мы говорим с Евгением Черешневым, старшим вице-президентом по стратегии и инновациям АФК "Система" и идейным вдохновителем множества продуктов и компаний, в частности CICADA8: системы автоматизированного кибераудита, чей ИИ-агент первым в мире прошел все шесть уровней сложности пентест-платформы Google XSS без единой подсказки.Обсуждаем будущее кибербезопасности в эпоху искусственного интеллекта - почему безопасники скоро лишатся рутинной работы, а ИИ-агенты станут главными пентестерами; иллюзию корпоративной защиты - почему большинство компаний обречены на взлом; "цифровую амнезию" — как нейросети влияют на способность людей мыслить критически; исторические уязвимости телеком-протоколов и перенос ИТ-инфраструктуры в космос; а также почему корпоративная бюрократия и демократия убивают настоящие технологические инновации."Промкаст" - видеопроект Издательского дома "Новые отраслевые медиа" https://idnom.ru/, который развивает более 30 узкоспециализированных Telegram-каналов о ключевых секторах экономики - от добывающей и обрабатывающей промышленности до сельского хозяйства, от фарминдустрии до строительства и ритейла.В выпуске:00:00:00 CICADA8: как ИИ-агент заменяет хакеров00:08:19 Иллюзия защиты: почему большинство безопасников просто "закупают коробки"00:19:07 Утечки данных через нейросети и монополизация рынка ИИ00:27:59 "Цифровая амнезия": как искусственный интеллект отучает людей думать00:32:35 Эволюция дата-центров: облака, Edge Computing и атомные реакторы00:39:09 Исторические дыры в телеком-протоколах и закрытые сети связи00:45:29 Биологические чипы: незащищенность, нейроинтерфейсы, новое материаловедение00:48:56 Космические дата-центры: риски взлома орбитальной инфраструктуры00:56:26 Связь будущего: гибрид технологий и сокращение количества передаваемой информации01:04:06 Проблемы инноваций: нехватка визионеров и вред корпоративной демократииОригинальное видео доступно на YouTube:https://youtu.be/S1gh0MdR5CY

How could considering the whole lifecycle of technology help save money? This week, Technology Now is diving into the world of HPE Financial Services and examining the importance of reuse and refurbishment in the rapidly changing technology ecosystem. Maeve Culloty, President and CEO of HPE Financial Services tells us more.This is Technology Now, a weekly show from Hewlett Packard Enterprise. Every week, hosts Michael Bird and Sam Jarrell look at a story that's been making headlines, take a look at the technology behind it, and explain why it matters to organizations.About Maeve:https://www.hpe.com/uk/en/leadership-bios/maeve-culloty.htmlBathtub episode:https://www.youtube.com/watch?v=nYAGoSXPceU&list=PLtS6YX0YOX4c12MoKvNgYw6zwNogLW3E7&index=52Sources:https://weee-forum.org/ws_news/of-16-billion-mobile-phones-possessed-worldwide-5-3-billion-will-become-waste-in-2022/https://www.bbc.co.uk/news/blogs-magazine-monitor-288026460.034g gold per phone0.034 x 5.3x10^9 = 180,200,000g = 180,200kg180,200 x 2.2 = 396,440lbs

Digital twins and machine learning are redefining batch optimization in manufacturing. Learn how centerlining models can catch quality issues in real time before they become irreversible.Concepts like digital twins, golden batch profiles, and statistical process control have long promised more than they delivered. Virag Vora of Twin Thread argues that layering machine learning on top of these ideas is what finally brings them to life. In this context, a digital twin is entirely data centric: a real time and historical representation of a process that serves as the foundation for AI models.The core use case is batch centerlining. The model compares current conditions against historically successful profiles, segmented by raw material source, product type, and seasonality. An orange juice manufacturer uses Twin Thread to determine whether incoming fruit should be sold fresh or routed to concentrate based on seasonal sugar content. The model identifies contributing variables in real time and alerts operators before a batch drifts beyond recovery.Twin Thread tackles the "not enough data" objection head on. With over 60 connectors, the platform works with the fragmented data reality of most manufacturing sites. Even low frequency data can train a useful model that quantifies what higher resolution instrumentation would unlock.Virag draws a clear line between ML and LLMs for process control. ML models trained on historical data produce deterministic outputs trusted for real time guidance on machine settings. LLMs excel at document retrieval and natural language interaction but are not suited for recommending set points on a live line. Twin Thread layers both: ML handles optimization, while Twin Thread Advisor lets users interrogate data and configure models through conversation.The standout proof point is Hills Pet Nutrition. After three years on Twin Thread, their models automatically feed recommendations into live production. That closed loop followed a deliberate path from human validation to A/B trials to automated execution with operator opt out.About Virag VoraVirag Vora is a solutions professional at Twin Thread, a platform that combines data centric digital twins with machine learning to optimize manufacturing processes. With a background in chemical engineering, Virag began his career deploying MES and DCS systems in biotech and pharma before joining Tulip and then Twin Thread. He helps manufacturers connect their existing data infrastructure to AI powered optimization across batch, continuous, and hybrid processes.Timestamps0:00 Introduction1:20 Virag's background in chemical engineering and industrial software6:30 Moving up the ISA 95 stack from DCS to MES and applications9:00 How AI reinvents digital twin, golden batch, and SPC concepts12:20 What a data centric digital twin actually looks like21:40 Where digital twins deliver the most value in manufacturing27:00 Seasonality, segmentation, and model training strategies36:00 Data prerequisites for deploying industrial AI41:40 Flavors of AI in manufacturing: ML, LLMs, and agentic workflows50:40 Closed loop AI control at Hills Pet Nutrition53:10 Personal project: Family Graph using knowledge graphs56:20 Prediction: operators as human digital twinsReferencesTwin Thread: https://twinthread.comThis episode is sponsored byMaintainX is an AI powered maintenance and operations platform that helps technicians get the answers they need instantly so they can focus on getting assets back online. Learn more about how MaintainX supports frontline manufacturing teams.https://maintainx.comAbout Your HostsVladimir Romanov is a co-host of The Manufacturing Hub Podcast and the founder of Joltek, an independent manufacturing and industrial automation consulting firm specializing in modernization strategy, digital transformation, and workforce development. Joltek works with manufacturers and investors to de-risk modernization and build the internal capability to sustain results.Connect with Vlad: https://www.linkedin.com/in/vladimirromanov/Want to go deeper? Vlad and the team at Joltek have covered related topics here:Edge Computing, AI, and the Value of Manufacturing Data: https://www.joltek.com/blog/edge-computing-ai-value-manufacturing-dataDigital Transformation in Manufacturing: https://www.joltek.com/blog/digital-transformation-in-manufacturingDave Griffith is a co-host of The Manufacturing Hub Podcast and founder of Capelin Solutions, an industrial automation firm helping manufacturers adopt smart manufacturing technology. He brings 15 years of experience in industrial automation and digital transformation.Connect with Dave: https://www.linkedin.com/in/davegriffith23/Subscribe to Manufacturing Hub: https://www.manufacturinghub.liveLinkedIn: https://www.linkedin.com/company/manufacturing-hub-networkYouTube: https://www.youtube.com/@ManufacturingHub

What is a self-driving network? This week, Technology Now is diving into self-driving networks 1-0-1. We explore what they are, how they work, and what benefits they have over regular networks to find out why an organisation might choose to use a self-driving one instead.This is Technology Now, a weekly show from Hewlett Packard Enterprise. Every week, hosts Michael Bird and Sam Jarrell look at a story that's been making headlines, take a look at the technology behind it, and explain why it matters to organizations.About Sujai:https://www.linkedin.com/in/sujai-hajela-270a83/

In this episode of the Project Chatter podcast, Val and Dale welcome Atif Ansar, co-founder of Foresight, to discuss the rapidly evolving world of data centers. Atif shares insights on the explosive growth and increasing complexity of data centers, highlighting the challenges related to energy supply, skilled labor, and technology redundancy. The conversation explores the role of AI in enhancing data center design and construction, the impact of edge computing, and the skills needed for future project professionals in this dynamic field. Atif also touches on innovative concepts like space-based data centers, emphasizing the exciting opportunities and challenges that lie ahead. In this conversation, the speakers explore the intersection of creativity and AI, discussing how technology influences project management and the future of jobs. They emphasize the importance of human essence in a technology-driven world and the evolving nature of data centers amidst global competition. The discussion also touches on the necessity of adapting to technological advancements and the potential for superintelligence in the future.Takeaways

Think 5G is about faster phones? That's what telecom companies want consumers to believe. The truth is far more interesting. In this episode, Elena Fersman (VP and Head of AI Innovation at Ericsson) reveals what 5G networks are really built for: industries, not consumers. Through network slicing, edge computing, and cognitive systems, 5G creates the infrastructure that makes AI applications possible at scale—from remote surgery where milliseconds matter, to AR/VR without wearing a backpack of GPUs, to factory floors with autonomous heavy machinery. Elena also shares surprising stories: how establishing a simple communication link led to 20% fuel savings for a shipping company, why autonomous networks are safer than human operators (the elevator operator analogy is perfect), and why Ericsson's trustworthy AI research has been running for 15 years. If you're an IT leader trying to understand where networks and AI intersect, or you're struggling with AI deployment and don't know where to start, this conversation cuts through the hype with practical frameworks and real-world examples from someone who's been in the trenches for two decades.   Chapters: 00:00 - The Risk of Not Deploying AI 03:05 - The AI RAN Alliance: AI and Networks as Symbiotic Partners 10:03 - Why 5G Is Built for Industries, Not Consumers 13:54 - How AI Optimizes Networks (Energy, Predictions, Handoffs) 21:06 - Cognitive Networks and Self-Organization 29:02 - Real-World Impact: 20% Fuel Savings for Shipping 30:52 - What Makes AI Projects Scale vs Fail 41:11 - The Critical First Step: Data Management Over Algorithms 57:25 - Confessions of an AI Brain: The Positive Future 1:01:02 - Why Autonomous Systems Are Safer Than Humans -- This episode of IT Visionaries is brought to you by Meter - the company building better networks. Businesses today are frustrated with outdated providers, rigid pricing, and fragmented tools. Meter changes that with a single integrated solution that covers everything wired, wireless, and even cellular networking. They design the hardware, write the firmware, build the software, and manage it all so your team doesn't have to.That means you get fast, secure, and scalable connectivity without the complexity of juggling multiple providers. Thanks to meter for sponsoring. Go to meter.com/itv to book a demo.---IT Visionaries is made by the team at Mission.org. Learn more about our media studio and network of podcasts at mission.org. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Welcome to Exponential View, the show where I explore how exponential technologies such as AI are reshaping our future. I've been studying AI and exponential technologies at the frontier for over ten years. Each week, I share some of my analysis or speak with an expert guest to make light of a particular topic. To keep up with the Exponential transition, subscribe to this channel or to my newsletter: https://www.exponentialview.co ---- Apple may have stumbled into one of the most defensible positions in AI. This was not on my radar – just two months ago, I was describing a credibility crisis at the company; they appeared wrong-footed on the most important technology of our times and an acquisition was their only plausible way out.  In this episode I work through what I and many other commentators missed – and what road lies ahead for Apple. I cover: (01:16) Why I was wrong about Apple (02:40) What's behind the Mac Mini shortage (04:07) China goes OpenClaw crazy (06:28) Perplexity builds on a Mac Mini (07:12) The edge case for Apple (09:05) Apple Moat 1: hardware (11:31) Apple Moat 2: privacy (15:47) The K problem: when good enough beats genius (18:08) Privacy, sovereignty & the diary problem Read my old position on Apple at Substack: https://www.exponentialview.co/p/ev-515 For a practical guide  my OpenClaw stack, click here: https://www.youtube.com/watch?v=aCG3dFRF3ek ---- Where to find me: Exponential View newsletter: https://www.exponentialview.co/ Website: https://www.azeemazhar.com/ LinkedIn: https://www.linkedin.com/in/azeem/ Twitter/X: https://x.com/azeem Production by EPIIPLUS1.  Production and research: Baba Films, Chantal Smith, Marija Gavrilov. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Jim Lundy, Founder and CEO of Aragon Research, spoke with Moshe Beauford of Technology Reseller News, during the Enterprise Connect conference about the growing importance of edge computing, AI infrastructure, and data sovereignty in enterprise technology strategies. Lundy explained that while cloud computing has dominated enterprise IT strategies over the past decade, the rapid rise of AI workloads is pushing organizations to rethink where data processing should occur. Running AI models in centralized cloud environments can be expensive and inefficient for many real-time applications. As a result, enterprises are increasingly moving AI workloads closer to where the data resides—at the edge. “AI runs faster when it's closer to the data, and for many enterprises the edge is becoming the natural place to process those workloads,” Lundy said. The conversation also explored the growing role of data sovereignty and security in shaping infrastructure decisions. Organizations in regulated industries are facing new pressures to maintain tighter control over sensitive data while still taking advantage of AI-driven analytics and automation. Edge-based infrastructure can help address these challenges by allowing enterprises to process data locally rather than sending everything to centralized cloud platforms. Lundy emphasized that this shift does not signal the end of the cloud, but rather the emergence of hybrid architectures that combine cloud scalability with edge performance. These distributed models allow enterprises to optimize cost, performance, and security as AI applications continue to expand across industries. As discussions at Enterprise Connect highlighted the accelerating impact of AI on communications, collaboration, and enterprise infrastructure, Lundy noted that organizations that rethink their data architecture today will be better positioned to take advantage of the next generation of AI-driven innovation. Learn more about Aragon Research: https://aragonresearch.com/

How can technology be used in the fight against modern slavery? This week, Technology Now is exploring the impact of modern slavery and how technology can be used to try and reduce it. We ask what the scale of the problem is today, we examine what modern slavery can look like, and we discuss how organisations and consumers can work together to try and combat this practice. John Schultz, Executive Vice President, Chief Legal and Administrative Officer and Corporate Secretary for HPE, tells us more.This is Technology Now, a weekly show from Hewlett Packard Enterprise. Every week, hosts Michael Bird and Sam Jarrell look at a story that's been making headlines, take a look at the technology behind it, and explain why it matters to organizations.About John:https://www.hpe.com/uk/en/leadership-bios/john-schultz.htmlSources https://www.hpe.com/us/en/newsroom/blog-post/2025/12/when-good-intentions-are-not-enough-the-importance-of-data-and-ai-in-solving-the-modern-slavery-epidemic.htmlhttps://www.hpe.com/uk/en/leadership-bios/john-schultz.html

What's happening at Mobile World Congress Barcelona 2026? This week, Technology Now is on the ground in Barcelona at the 20th Mobile World Congress to delve deeper into the future of networking. We ask what are the big themes of this year's Mobile World Congress, we explore why events like this are important to organisations like HPE, and we examine why consumers should care about events like this. Rami Rahim, President and General Manager, HPE Networking tells us more.This is Technology Now, a weekly show from Hewlett Packard Enterprise. Every week, hosts Michael Bird and Sam Jarrell look at a story that's been making headlines, take a look at the technology behind it, and explain why it matters to organizations. This episode is available in both video and audio formats.About Rami:https://www.hpe.com/uk/en/leadership-bios/rami-rahim.html

Igal Raichelgauz, Founder & CEO, Autobrains joined Grayson Brulte on The Road to Autonomy podcast to discuss the company's strategic partnership with VinFast and the development of an affordable, scalable robo-car.The operational backbone of Autobrains' strategy is a Thinking AI approach that utilizes an agentic architecture rather than traditional monolithic models. By using a library of specific skills that can be added incrementally, the system scales from basic safety features to full autonomy without requiring massive data retraining or excessive computational power.In the field, Autobrains is rigorously applying its technology to the VinFast VF 8 and VF 9 models, proving the system's robustness in some of the world's most complex driving environments, such as the congested streets of Hanoi, Vietnam. Autobrains utilizes a vision-only approach that mimics human perception to navigate urban traffic, heavy rain, and high-speed highways.Autobrains' Physical AI ecosystem also includes an air to road localization system, which uses compressed satellite imagery signatures to provide 10-centimeter positioning accuracy. Allowing the vehicle to localize itself globally and understand lane boundaries or construction sites without relying on expensive, high-maintenance HD maps.Looking ahead, Igal envisions a future where autonomous driving reaches a mass-market inflection point within the next five years. This evolution aims to fundamentally transform the industry by delivering a fully autonomous robo-car at a $30,000 price point, enabling every vehicle to become a revenue-generating asset that increases safety and gives time back to the consumer.Episode Chapters00:00 How the VinFast Deal Came Together03:16 Skills-Based Agentic AI Architecture 07:16 Six Cameras, 360° Coverage, Low Compute 09:37 Air-to-Road: Satellite Imagery Replaces HD Maps12:40 Robo-car Vision 15:10 The $30K Fully Autonomous Car 20:20 The Thinking Layer24:22 20 Teraflops, Sub-20ms Latency, Edge Computing 27:58 No Lidar: The Vision-Only Thesis 28:59 The Future of Autobrains--------About The Road to AutonomyThe Road to Autonomy is the definitive media brand covering the Autonomy Economy™. Through our podcasts, newsletter, and proprietary market intelligence, we set the narrative for institutional investors, industry executives, and policymakers navigating the convergence of automation, autonomy, and economic growth.Join institutional investors and industry leaders who read This Week in The Autonomy Economy every Sunday. Each edition delivers exclusive insight and commentary on the autonomy economy, helping you stay ahead of what's next. Subscribe today for free: https://www.roadtoautonomy.com/ae/See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In this episode of The Speed of Culture, Matt Britton sits down with Milo Speranzo, Chief Marketing Officer for Lenovo North America, live from CES 2026 in Las Vegas. Milo breaks down what it took to deliver Lenovo's sold-out Sphere showcase, the product story behind AI PCs, servers, wearables, and Motorola, and why edge computing AI privacy now shapes a new hardware refresh cycle. The conversation also explores the Lenovo FIFA World Cup partnership, FootballAI analytics, and Milo's leadership mantra for 2026: learn, iterate, and be a goldfish.Follow Suzy on Twitter: @AskSuzyBizFollow Milo Speranzo on LinkedInSubscribe to The Speed of Culture on your favorite podcast platform.And if you have a question or suggestions for the show, send us an email at suzy@suzy.com Hosted on Acast. See acast.com/privacy for more information.

Atombeam CEO Charles Yeomans joins Chris Lustrino to break down a deceptively simple idea with massive implications: make data smaller while it's streaming so you can move and process more of it—without upgrading networks.Charles explains Atombeam's commercial product NeurPack, how it can often quadruple effective bandwidth, and why this matters across IoT, smart meters, satellites, defense, oil & gas wells, fintech, and eventually data centers and GPU utilization. They also dig into the realities of commercialization—choosing near-term deals that close fast while still pursuing multi-year “industry standard” opportunities—and why execution (not invention) is the real differentiator.00:00 What Atombeam does (pizza analogy)03:13 NeurPack explained05:35 Why 95% of IoT data doesn't move09:38 “Like launching 3 more satellites”13:57 Commercialization + customers16:31 Data centers + GPU utilization24:29 Defense traction + partnerships26:44 What success looks like (distribution)

Devices like DGX Spark are redefining what's possible with AI, putting the power of a personal supercomputer on your desk. In this episode, PD Rajput of MediaTek and Anshel Sag of Moor Insights & Strategies dive into the evolution of edge computing, the rise of custom silicon, and the future of AI development.

Twenty years ago, the concept of Bring Your Own Device (BYOD) entered the federal IT landscape with the advent of network-connected devices like Blackberries—sometimes even within secure federal networks. This slow start has exploded into a federal information technology system with sensors on satellites, submarines, and everywhere in between. That "in between" can include on-prem networks, multiple clouds, and hybrid clouds. Today, we sit down with Ryan Leiws, the CEO of Rancher Government Solutions, to look at some of the challenges in managing this dispersed environment and how to manage it. Lewis describes how Rancher connects hybrid environments using containers and Kubernetes for secure orchestration. Lewis emphasizes continuous compliance and DevSecOps via Rancher's Carbide stack, SBOM-level visibility, and rapid recovery in contested, denied/disconnected/intermittent/limited (DDIL) environments. Lewis notes that Rancher's declarative stack reduces maintenance and allows simple app redeployment. They also emphasize portability, cost efficiency, and alignment with zero-trust principles, with upcoming hardened features.  = Connect to John Gilroy on LinkedIn   https://www.linkedin.com/in/john-gilroy/ Want to listen to other episodes? www.Federaltechpodcast.com  

In this episode, we covered: 1) Pete's 4-part framework for modern leadershipPete lays out what he sees as “endemic” to great leadership today:Master cash flow (because nothing survives without it)Know whether you're a visionary or an integrator (and don't pretend you're both)Be the master motivator (the era of fear-based leadership is over)Own the culture (and use story as one of your most powerful tools to shape it) 2) Storytelling as culture-engineeringWe dig into why stories are more than “nice to have.” Stories become the myths that create the mythology of a company—how values become behavior at scale. And if you want to influence culture, yesterday was easier than today. 3) The next AI infrastructure shift: from training to inferencingPete breaks down the difference between:Training LLMs (building the model)Inferencing (asking the model questions in real time—what most people experience as “prompting”)Then he takes it further: the next wave isn't human inferencing—it's machine inferencing. Robots, cars, devices, sensors… constantly asking “what do I do next?” at massive scale. 4) Why “edge” data centers are coming backPete predicts we'll move away from only massive, centralized “mega” campuses toward distributed, high-performance data centers near the edge—“in every town,” similar to telecom “points of presence” in the 1990s. That's the strategic thesis behind Gray Wolf Data Centers.   5) The modern mystic: mind, body, and the inner gamePete shares a candid chapter of his own life—anxiety, therapy, CBT, and a pivotal lesson: don't make the events you can't control your “problems.” He connects this to resilience through sleep, health practices, and the belief that we can reshape the mind through neuroplasticity—and even how he sees us as “quantum beings,” responsible for how we observe and choose our reality. 6) A hopeful thesis: “good AI” vs “bad AI” + post-scarcityWe touch the fear many people carry (yes, I mention growing up in the Terminator era), but Pete offers a provocative counter: the way we beat bad AI is with good AI—models designed around human flourishing and shared broadly as a public service. He believes we're headed through disruption toward post-scarcity, and that our descendants will wonder why we didn't support each other sooner. 7) The closing leadership message: “we are all one”Pete's final note is the one that matters most to me: we're all connected—and we're here for each other. In my book, that's not just a spiritual idea; it's a leadership standard. ----- Resources Mentioned:Pete's company: Gray Wolf Data CentersPete's book: Living in Bliss: Achieve a Balanced Existence of Body, Mind and SpiritPete's site: PeteSacco.com (signed copies + meditation materials)Dr. David Burns: The Feel Good HandbookDan Sullivan: Who Not How (and other referenced works)Peter Diamandis: longevity reference ----- If you want to apply this immediately:Ask yourself: Am I the visionary or the integrator here? (And who do I need as my counterbalance?)  Choose one cultural value you care about—and tell a story that proves it.  If AI is making you anxious, zoom out: are you preparing for the training era, or the inferencing era?  ----- https://petesacco.comPete Sacco is a visionary entrepreneur, technologist, and modern-day mystic who blends conscious leadership with breakthrough innovation. As the founder of multiple ventures—including PTS Data Center Solutions, INTUVA, GRID7, InstaGuardIP, and Gray Wolf Data Centers—Pete has led transformative initiatives across AI, energy, blockchain, and digital infrastructure. His journey from electrical engineer to spiritual author and advisor reflects a rare fusion of high performance and inner awakening. Pete is the author of Living in Bliss: Achieve a Balanced Existence of Body, Mind, and Spirit, a guide for high achievers seeking fulfillment beyond success. A finalist for Ernst & Young's Entrepreneur of the Year, Pete holds a B.S. in Electrical Engineering from Fairleigh Dickinson University, and serves on the advisory board of its School of Computer Sciences and Engineering. Based in New Jersey, he helps purpose-driven professionals unlock clarity, vitality, and purpose—one system, one person, and one moment at a time.  --------John Bates provides 1:1 Executive Communications Coaching, both in-person and online. He also gets 92+ Net Promoter Scores for his large and small group leadership development trainings at organizations like Johnson & Johnson, NASA, Google, Intuit, Boston Scientific, and many more. Find more at https://executivespeakingsuccess.com.Sign up for his weekly micro-trainings for free at https://johnbates.com/mini-trainings and create a great leadership communications habit that makes you the kind of leader who inspires trust, loyalty, and connection.

Satlyt has entered into a commercial license agreement with The Aerospace Corporation for the use of its DiskSat technology. Japan's SKY Perfect JSAT and Europe's constellr are collaborating on the launch of commercial sales of high‑resolution thermal infrared satellite data for the Japanese market. Blue Origin's Blue Moon MK1 Lunar Lander has arrived at NASA's Johnson Space Center (JSC) to undergo testing, and more. Remember to leave us a 5-star rating and review in your favorite podcast app. Be sure to follow T-Minus on LinkedIn and Instagram. T-Minus Guest Our guest today is William Cook, Sr. Vice President Space Operations at Psionic Navigation. You can connect with William on LinkedIn, and learn more about Psionic on their website. Selected Reading Satlyt and The Aerospace Corporation Partner to Advance Edge Computing in Space constellr launches commercial partnership with Japan's premier space solutions provider SKY Perfect JSAT Airbus Targets Superbird-9 Launch In 2027 After Delays - Aviation Week Network Isar Aerospace opens second test site at Esrange Space Center Blue Origin's lunar lander is at Houston's Johnson Space Center for testing ESA - Moving satellites to meet a plane for rare reentry data Share your feedback. What do you think about T-Minus Space Daily? Please take a few minutes to share your thoughts with us by completing our brief listener survey. Thank you for helping us continue to improve our show.  Want to hear your company in the show? You too can reach the most influential leaders and operators in the industry. Here's our media kit. Contact us at space@n2k.com to request more info. Want to join us for an interview? Please send your pitch to space-editor@n2k.com and include your name, affiliation, and topic proposal. T-Minus is a production of N2K Networks, your source for strategic workforce intelligence. © N2K Networks, Inc. Learn more about your ad choices. Visit megaphone.fm/adchoices

Today, we're joined by Jared Shepard, Chief Executive Officer at Hypori, a mobile access platform enabling secure virtual access to enterprise apps and data from any mobile device with total personal privacy. We talk about:Jared's journey from homeless high school dropout to tech founderSolving hard problems, like edge compute in the militaryThe value of hybrid compute solutions, incorporating cloud and edge devicesApplying the elasticity of the cloud to mobile device use

An AI chatbot that hallucinates is annoying. A robot or physical AI that hallucinates can cause injury or death. Burkhard Boeckem, CTO of Hexagon, explains why the bar for physical AI is fundamentally higher than digital AI, and what it takes to deploy robots that actually work in the real world. All this in CXOTalk episode 905.In this conversation, we cover:→ What physical AI actually means (and why it's different from the AI you use every day)→ Why digital twins are the foundation for training robots safely→ The gap between impressive YouTube demos and robots that create economic value→ Functional safety: the "big theme" coming in 2026→ Cloud vs. edge computing for autonomous systems→ Where robotics deployments fail (hint: it's not the technology)→ What boards get wrong about robotics investments→ Timeline: when will we see real autonomy?Key insight: "Many boards overestimate the speed and underestimate the system work. It's not a software rollout—it's a complex engineering system."Burkhard's prediction: Autonomy in constrained environments is 1-3 years away. The "butler humanoid" that does everything? Still a ways off.⏱️ CHAPTERS00:00 Introduction: What is Physical AI?02:06 Digital Twins as the Foundation03:23 Understanding Ground Truth06:42 Digital AI vs. Physical AI: Safety and Reliability08:47 Real-World Business Applications10:48 Security and Functional Safety14:57 CES Announcements and Industry State20:01 Cloud vs. Edge Computing in Robotics22:32 Regulations for Physical AI25:10 Addressing Bias in Physical AI27:51 Timeline to Autonomy31:46 Creating Economic Value Beyond Demos33:26 Where Robotics Deployments Fail35:59 The Future of Humanoid Form Factors38:38 The Humanoid as User Interface40:06 Digital Twins for Robotics42:36 Fleet Collaboration and Swarm Intelligence43:46 What Boards Get Wrong About Robotics45:18 The Future of Work46:32 Responsible Deployment47:15 Manager AIs for Worker AIs?48:16 Looking Ahead: Next 2-3 Years49:37 Core Technical Challenges————————————————

Philip Johnston is co-founder and CEO of Starcloud, a company building data centers in space to solve AI's power crisis. Starcloud has already launched the first NVIDIA H100 GPU into orbit and is partnering with cloud providers like Crusoe to scale orbital computing infrastructure.As AI demand accelerates, data centers are running into a new bottleneck: access to reliable, affordable power. Grid congestion, interconnection delays, and cooling requirements are slowing the deployment of new AI data centers, even as compute demand continues to surge. Traditional data centers face 5-10 year lead times for new power projects due to permitting, interconnection queues, and grid capacity constraints.In this episode, Philip explains why Starcloud is building data centers in orbit, where continuous solar power is available and heat can be rejected directly into the vacuum of space. He walks through Starcloud's first on-orbit GPU deployment, the realities of cooling and radiation in space, and how orbital data centers could relieve pressure on terrestrial power systems as AI infrastructure scales.Episode recorded on Dec 11, 2025 (Published on Jan 13, 2026)In this episode, we cover: [04:59] What Starcloud's orbital data centers look like (and how they differ from terrestrial facilities)[06:37] How SpaceX Starship's reusable launch vehicles change space economics[10:45] The $500/kg breakeven point for space-based solar vs. Earth [14:15] Why space solar panels produce 8x more energy than ground-based arrays [21:19] Thermal management: Cooling NVIDIA GPUs in a vacuum using radiators [25:57] Edge computing in orbit: Real-time inference on satellite imagery [29:22] The Crusoe partnership: Selling power-as-a-service in space [31:21] Starcloud's business model: Power, cooling, and connectivity [34:18] Addressing critics: What could prevent orbital data centers from workingKey Takeaways:Starcloud launched the first NVIDIA H100 GPU into orbit in November 2024 Space solar produces 8x more energy per square meter than terrestrial solar Breakeven launch cost for orbital data centers: $500/kg Current customers: DOD and commercial Earth observation satellites needing real-time inference Target: 10 gigawatts of orbital computing capacity by early 2030s Enjoyed this episode? Please leave us a review! Share feedback or suggest future topics and guests at info@mcj.vc.Connect with MCJ:Cody Simms on LinkedInVisit mcj.vcSubscribe to the MCJ Newsletter*Editing and post-production work for this episode was provided by The Podcast Consultant

Quantum computers usually mean massive machines, cryogenic temperatures, and isolated data centers. But what if quantum computing could run at room temperature, fit inside a server rack — or even a satellite?In this episode of TechFirst, host John Koetsier sits down with Marcus Doherty, Chief Science Officer of Quantum Brilliance, to explore how diamond-based quantum computers work — and why they could unlock scalable, edge-deployed quantum systems.Marcus explains how nitrogen-vacancy (NV) centers in diamond act like atomic-scale qubits, enabling long coherence times without extreme cooling. We dive into quantum sensing, quantum machine learning, and why diamond fabrication — including the world's first commercial quantum diamond foundry — could be the key to manufacturing quantum hardware at scale.You'll also hear how diamond quantum systems are already being deployed in data centers, how they could operate in vehicles and satellites, and what the realistic roadmap looks like for logical qubits and real-world impact over the next decade.Topics include: • Why diamonds are uniquely suited for quantum computing • How NV centers work at room temperature • Quantum sensing vs. quantum computing • Manufacturing challenges and timelines • Quantum computing at the edge (satellites, vehicles, sensors) • The future of hybrid classical-quantum systems⸻

In this episode of the Crazy Wisdom podcast, host Stewart Alsop interviews Marcin Dymczyk, CPO and co-founder of SevenSense Robotics, exploring the fascinating world of advanced robotics and AI. Their conversation covers the evolution from traditional "standard" robotics with predetermined pathways to advanced robotics that incorporates perception, reasoning, and adaptability - essentially the AGI of physical robotics. Dymczyk explains how his company builds "the eyes and brains of mobile robots" using camera-based autonomy algorithms, drawing parallels between robot sensing systems and human vision, inner ear balance, and proprioception. The discussion ranges from the technical challenges of sensor fusion and world models to broader topics including robotics regulation across different countries, the role of federalism in innovation, and how recent geopolitical changes are driving localized high-tech development, particularly in defense applications. They also touch on the democratization of robotics for small businesses and the philosophical implications of increasingly sophisticated AI systems operating in physical environments. To learn more about SevenSense, visit www.sevensense.ai.Check out this GPT we trained on the conversationTimestamps00:00 Introduction to Robotics and Personal Journey05:27 The Evolution of Robotics: From Standard to Advanced09:56 The Future of Robotics: AI and Automation12:09 The Role of Edge Computing in Robotics17:40 FPGA and AI: The Future of Robotics Processing21:54 Sensing the World: How Robots Perceive Their Environment29:01 Learning from the Physical World: Insights from Robotics33:21 The Intersection of Robotics and Manufacturing35:01 Journey into Robotics: Education and Passion36:41 Practical Robotics Projects for Beginners39:06 Understanding Particle Filters in Robotics40:37 World Models: The Future of AI and Robotics41:51 The Black Box Dilemma in AI and Robotics44:27 Safety and Interpretability in Autonomous Systems49:16 Regulatory Challenges in Robotics and AI51:19 Global Perspectives on Robotics Regulation54:43 The Future of Robotics in Emerging Markets57:38 The Role of Engineers in Modern WarfareKey Insights1. Advanced robotics transcends traditional programming through perception and intelligence. Dymczyk distinguishes between standard robotics that follows rigid, predefined pathways and advanced robotics that incorporates perception and reasoning. This evolution enables robots to make autonomous decisions about navigation and task execution, similar to how humans adapt to unexpected situations rather than following predetermined scripts.2. Camera-based sensing systems mirror human biological navigation. SevenSense Robotics builds "eyes and brains" for mobile robots using multiple cameras (up to eight), IMUs (accelerometers/gyroscopes), and wheel encoders that parallel human vision, inner ear balance, and proprioception. This redundant sensing approach allows robots to navigate even when one system fails, such as operating in dark environments where visual sensors are compromised.3. Edge computing dominates industrial robotics due to connectivity and security constraints. Many industrial applications operate in environments with poor connectivity (like underground grocery stores) or require on-premise solutions for confidentiality. This necessitates powerful local processing capabilities rather than cloud-dependent AI, particularly in automotive factories where data security about new models is paramount.4. Safety regulations create mandatory "kill switches" that bypass AI decision-making. European and US regulatory bodies require deterministic safety systems that can instantly stop robots regardless of AI reasoning. These systems operate like human reflexes, providing immediate responses to obstacles while the main AI brain handles complex navigation and planning tasks.5. Modern robotics development benefits from increasingly affordable optical sensors. The democratization of 3D cameras, laser range finders, and miniature range measurement chips (costing just a few dollars from distributors like DigiKey) enables rapid prototyping and innovation that was previously limited to well-funded research institutions.6. Geopolitical shifts are driving localized high-tech development, particularly in defense applications. The changing role of US global leadership and lessons from Ukraine's drone warfare are motivating countries like Poland to develop indigenous robotics capabilities. Small engineering teams can now create battlefield-effective technology using consumer drones equipped with advanced sensors.7. The future of robotics lies in natural language programming for non-experts. Dymczyk envisions a transformation where small business owners can instruct robots using conversational language rather than complex programming, similar to how AI coding assistants now enable non-programmers to build applications through natural language prompts.

What's the current state of play in the world of networking? This week, Technology Now returns to HPE Discover Barcelona for a discussion with Rami Rahim, President and General Manager, HPE Networking. We ask why networking is so important, how it is possible to keep the world connected, and explore what networking will look like going into the future.This is Technology Now, a weekly show from Hewlett Packard Enterprise. Every week, hosts Michael Bird and Sam Jarrell look at a story that's been making headlines, take a look at the technology behind it, and explain why it matters to organizations. This episode is available in both video and audio formats.About Rami Rahim: https://www.hpe.com/uk/en/leadership-bios/rami-rahim.html

(00:00) Introduction to Arm and Vince Jesaitis(03:46) The Future of AI and Edge Computing(11:22) Government Relations and AI Literacy(16:56) Security and Privacy in Emerging Technologies(23:18) Navigating Global Regulations and Standards(27:40) Sustainability and Efficiency in Technology(34:56) Looking Ahead: Trends in AI and Technology(42:36) Career Reflections and Advice for Students This episode is part of a series brought to you by Arm to show how the future of AI is being built today, from the chips powering it to the people shaping it. To go deeper, read Arm's new AI Readiness Index and see where the world stands on adopting and scaling AI. Enjoyed listening? Want to read more? Check out the links below:Arm's AI Readiness Index technical report written with WevolverArm's "Smarter At The Edge" whitepaper written with SCSPArm's Global Public Policy websiteFollow Vince Jesaitis on LinkedIn Become a founding reader of our newsletter: http://read.thenextbyte.com/ As always, you can find these and other interesting & impactful engineering articles on Wevolver.com.

In this episode of Crazy Wisdom, Stewart Alsop talks with Aaron Lowry about the shifting landscape of attention, technology, and meaning—moving through themes like treasure-hunt metaphors for human cognition, relevance realization, the evolution of observational tools, decentralization, blockchain architectures such as Cardano, sovereignty in computation, the tension between scarcity and abundance, bioelectric patterning inspired by Michael Levin's research, and the broader cultural and theological currents shaping how we interpret reality. You can follow Aaron's work and ongoing reflections on X at aaron_lowry.Check out this GPT we trained on the conversationTimestamps00:00:00 Stewart and Aaron open with the treasure-hunt metaphor, salience landscapes, and how curiosity shapes perception. 00:05:00 They explore shifting observational tools, Hubble vs James Webb, and how data reframes what we think is real. 00:10:00 The conversation moves to relevance realization, missing “Easter eggs,” and the posture of openness. 00:15:00 Stewart reflects on AI, productivity, and feeling pulled deeper into computers instead of freed from them. 00:20:00 Aaron connects this to monetary policy, scarcity, and technological pressure. 00:25:00 They examine voice interfaces, edge computing, and trust vs convenience. 00:30:00 Stewart shares experiments with Raspberry Pi, self-hosting, and escaping SaaS dependence. 00:35:00 They discuss open-source, China's strategy, and the economics of free models. 00:40:00 Aaron describes building hardware–software systems and sensor-driven projects. 00:45:00 They turn to blockchain, UTXO vs account-based, node sovereignty, and Cardano. 00:50:00 Discussion of decentralized governance, incentives, and transparency. 00:55:00 Geopolitics enters: BRICS, dollar reserve, private credit, and institutional fragility. 01:00:00 They reflect on the meaning crisis, gnosticism, reductionism, and shattered cohesion. 01:05:00 Michael Levin, bioelectric patterning, and vertical causation open new biological and theological frames. 01:10:00 They explore consciousness as fundamental, Stephen Wolfram, and the limits of engineered solutions. 01:15:00 Closing thoughts on good-faith orientation, societal transformation, and the pull toward wilderness.Key InsightsCuriosity restructures perception. Aaron frames reality as something we navigate more like a treasure hunt than a fixed map. Our “salience landscape” determines what we notice, and curiosity—not rigid frameworks—keeps us open to signals we would otherwise miss. This openness becomes a kind of existential skill, especially in a world where data rarely aligns cleanly with our expectations.Our tools reshape our worldview. Each technological leap—from Hubble to James Webb—doesn't just increase resolution; it changes what we believe is possible. Old models fail to integrate new observations, revealing how deeply our understanding depends on the precision and scope of our instruments.Technology increases pressure rather than reducing it. Even as AI boosts productivity, Stewart notices it pulling him deeper into computers. Aaron argues this is systemic: productivity gains don't free us; they raise expectations, driven by monetary policy and a scarcity-based economic frame.Digital sovereignty is becoming essential. The conversation highlights the tension between convenience and vulnerability. Cloud-based AI creates exposure vectors into personal life, while running local hardware—Raspberry Pis, custom Linux systems—restores autonomy but requires effort and skill.Blockchain architecture determines decentralization. Aaron emphasizes the distinction between UTXO and account-based systems, arguing that UTXO architectures (Bitcoin, Cardano) support verifiable edge participation, while account-based chains accumulate unwieldy state and centralize validation over time.Institutional trust is eroding globally. From BRICS currency moves to private credit schemes, both note how geopolitical maneuvers signal institutional fragility. The “few men in a room” dynamic persists, but now under greater stress, driving more people toward decentralization and self-reliance.Biology may operate on deeper principles than genes. Michael Levin's work on bioelectric patterning opens the door to “vertical causation”—higher-level goals shaping lower-level processes. This challenges reductionism and hints at a worldview where consciousness, meaning, and biological organization may be intertwined in ways neither materialism nor traditional theology fully capture.

What's going on at HPE Discover Barcelona 2025. This week, Technology Now visits Barcelona for an interview with company CEO Antonio Neri. We ask what the how the world of technology is faring a quarter of the way into the 21st century, we look forward to where we're heading in the future, and we explore how HPE is responding to our changing world.This is Technology Now, a weekly show from Hewlett Packard Enterprise. Every week, hosts Michael Bird and Sam Jarrell look at a story that's been making headlines, take a look at the technology behind it, and explain why it matters to organizations. This episode is available in both video and audio formats.http://www.hpe.com/discover/barcelona