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The Programming PodcastThe Programming PodcastThe Software Developer's AI Cheat Sheet RevealedIn this episode of The Programming Podcast, Danny Thompson and Leon Noel are joined by special guest Santiago, a machine learning engineer and teacher of the Machine Learning School cohort, for one of the most actionable and grounded AI discussions in tech today.We cut through the hype and dive deep into:- How AI is (and isn’t) replacing developers- Using AI as a co-pilot vs letting AI drive- Vector databases, embeddings, and Retrieval-Augmented Generation (RAG)- Model Context Protocol (MCP), agent-based systems, an...2025-05-151h 00Software Engineering Radio - The Podcast for Professional Software DevelopersSoftware Engineering Radio - The Podcast for Professional Software DevelopersPete Warden on TinyMLPete Warden, CEO of Useful Sensors and a founding member of the TensorFlow team at Google, discusses TinyML, the technology enabling machine learning on low-power, small-footprint devices. This innovation opens up applications such as voice-controlled devices, offline translation tools, and smarter embedded systems, which are crucial for privacy and efficiency. SE Radio host Kanchan Shringi speaks with Warden about challenges like model compression, deployment constraints, and privacy concerns. They also explore applications in agriculture, healthcare, and consumer electronics, and close with some practical advice from Pete for newcomers to TinyML development. Brought to you by IE...2025-03-1855 minSoftware Engineering Radio - the podcast for professional software developersSoftware Engineering Radio - the podcast for professional software developersPete Warden on TinyMLPete Warden, CEO of Useful Sensors and a founding member of the TensorFlow team at Google, discusses TinyML, the technology enabling machine learning on low-power, small-footprint devices. This innovation opens up applications such as voice-controlled devices, offline translation tools, and smarter embedded systems, which are crucial for privacy and efficiency. SE Radio host Kanchan Shringi speaks with Warden about challenges like model compression, deployment constraints, and privacy concerns. They also explore applications in agriculture, healthcare, and consumer electronics, and close with some practical advice from Pete for newcomers to TinyML development. Brought to you by IE...2025-03-1855 minScience News DailyScience News DailyStudy Links Nurses Sleep Debt to Infections, New Method Shrinks Quantum Devices, TinyML Device Detects Seizures, Avidite Base Chemistry Revolutionizes Disease Management, and more...(0:10): Study Reveals Nurses' Sleep Debt Linked to Higher Infection Risks, Calls for Shift Pattern Reforms(2:13): Revolutionary Method for Entangled Photons Could Shrink Quantum Devices to Laptop Size(3:51): Revolutionary TinyML Device Offers Real-Time Seizure Detection and Treatment for Epilepsy Patients(5:43): Avidite Base Chemistry Tops Genome Sequencing Techniques for Infectious Disease Management(7:25): Cracking the Code: New Strategies to Combat Chronic Viral Infections and Strengthen ImmunityTo subscribe visit https://www.brief.news.For more updates in your inbox each morning visit www.brief.news. Image credit: Medical Xpress2025-03-1009 minEDGE AI PODEDGE AI PODRenesas and Reality AI: Shaping the Future of Edge ComputingDiscover the cutting-edge world of TinyML and Edge AI with our special guest, Eldar Sido from Renesas. As a key figure in the AI Center of Excellence, Eldar unveils the fascinating challenges and breakthroughs in embedding AI into compact devices like microcontrollers and sensors that are rapidly spreading across the globe. This episode promises an exploration into the dynamic realm of TinyML, focusing on its three foundational pillars: real-time analytics, voice, and vision. Eldar discusses the anticipated double-digit growth of this sector over the next decade, making it a pivotal listen for tech enthusiasts and those curious about the...2025-02-0613 minEDGE AI PODEDGE AI PODTransforming Edge AI Education: Insights from Harvard's Dr. Vijay Janapa ReddiJoin us for an insightful conversation with Dr. Vijay Janapa Reddi from Harvard, who takes us on a journey through the evolving world of edge computing and machine learning education. Discover how his family's affinity for East Coast seasons inspired his academic path, and learn about his groundbreaking open-source book on machine learning systems. This episode celebrates the rebranding of the tinyML Foundation to the Edge AI Foundation, reflecting an expanded focus that transcends embedded devices. We tackle the complexities of machine learning education, where excitement often masks the real challenges of developing robust AI systems.Dr...2025-01-0259 minEDGE AI PODEDGE AI PODFrom tinyML to the edge of AI: Introducing the EDGE AI FOUNDATIONDiscover how the EDGE AI FOUNDATION is evolving from its roots in the tinyML Foundation to becoming a central hub for innovation and collaboration. Learn how initiatives like EDGE AI Labs and the EDGE AIP program are bridging the gap between academia and industry, training future AI leaders while tackling the ethical challenges of responsible AI development. Explore the transformative potential of generative AI on edge devices, from providing vital healthcare diagnostics in remote areas to enabling adaptive robotics in factories. We'll highlight compelling reasons for companies to engage with the Edge AI Foundation, offering unparalleled access t...2024-11-2514 minEDGE AI PODEDGE AI PODRevolutionizing TinyML: Integrating Large Language Models for Enhanced EfficiencyUnlock the future of TinyML by learning how to harness the power of large language models, as we sit down with Roberto Morabito to dissect this intriguing technological convergence. Discover how the collaborative efforts with Eurocom and the University of Helsinki are shaping a groundbreaking framework designed to elevate TinyML's lifecycle management. We promise to unravel the complexities and opportunities that stem from integrating these technologies, focusing on the essential role of prompt templates and the dynamic challenges posed by hardware constraints. Through a proof-of-concept demonstration, we bring you invaluable insights into resource consumption, potential bottlenecks, and the exciting...2024-11-1427 minEDGE AI PODEDGE AI PODHarnessing Edge AI: Transforming Industries with Advanced Transformer Models with Dave McCarthy of IDC and Pete Bernard of tinyML FoundationUnlock the transformative potential of edge computing with the insights of industry experts Dave McCarthy from IDC and Pete Bernard. Ever wondered how advanced transformer models are catalyzing technological leaps at the edge? This episode promises to enlighten you on the nuances of AI-ready infrastructure, pushing the boundaries of autonomous operations in multi-cloud and multi-edge environments. With an emphasis on trust, security, and sustainability, our guests illuminate the strategic importance of optimizing edge designs and the benefits of hybrid and multi-cloud strategies.Explore the dynamic world of Edge AI as we dissect the complexities of heavy and...2024-11-0733 minEDGE AI PODEDGE AI PODRevolutionizing Weather Forecasting with Acoustic Smart TechnologyUnlock the secrets to revolutionary weather forecasting with our latest episode featuring Jonah Beysens, the brilliant mind behind the Aurora project. Imagine a world where remote and resource-limited areas can access reliable weather data without the hassle of maintaining traditional mechanical stations. Learn how the Aurora, an acoustic smart weather station, is making this possible. Born from the TinyML Challenge 2022, Aurora employs a TinyML board with a microphone to classify wind and rain intensity, ensuring robustness and ease of deployment. Jonah walks us through the journey of crafting a real-world dataset and shares the collaborative spirit behind making this...2024-10-2725 minThe IoT ShowThe IoT ShowPete Bernard's new role at the TinyML foundation If you are interested about ML on embedded systems, a.k.a. Edge AI, you likely know about the TinyML foundation. Pete Bernard is the new Executive Director of the foundation, and tells us all about what's going on the booming world of Edge AI. Learn more at https://tinyml.org This episode was recorded during an https://iotstars.com/ event 2024-10-1806 minForging The Future with Chris HowardForging The Future with Chris HowardAI, Ethics, & the Future of Edge Computing: Meet the tinyML FoundationArtificial intelligence takes the mainstage at Embedded World 2024 and in this week’s episode with Pete Bernard, edge AI computing expert and Executive Director at tinyML Foundation. At tinyML, Pete helps nurture a community focused on low-power machine learning technologies at the very edge of the cloud with the most cutting-edge AI technologies, deep ties to academia, and investments in AI for Good and Responsible AI. Talking points include the rapid pace of technological change, the need for secure, responsible AI and the importance of user-friendly interfaces for AI adoption.2024-10-1729 minEDGE AI PODEDGE AI PODDeploying TinyML Models at Scale: Insights on Monitoring and Automation with Alessandro Grande of Edge ImpulseUnlock the secrets of deploying TinyML models in real-world scenarios with Alessandro Grande, Head of Product at Edge Impulse. Curious about how TinyML has evolved since its early days? Alessandro takes us through a journey from his initial demos at Arm to the sophisticated, scalable deployments we see today. Learn why continuous model monitoring is not just important but essential for the reliability and functionality of machine learning applications, especially in large-scale IoT deployments. Alessandro shares actionable insights on how to maintain a continuous lifecycle for ML models to handle unpredictable changes and ensure sustained success.Delve...2024-10-1320 minThe IoT PodcastThe IoT PodcastWhat's Next in AI? | tinyML Foundation's Pete Bernard & Evgeni Gousev | The IoT PodcastIn this special episode of The IoT Podcast we're joined by tinyML Foundations Executive Director - Pete Bernard & Chairman - Evgeni Gousev to talk all things tinyML and AI. We explore the bigger story of AI, where we’re moving (smarter, smaller, more efficient) and how tinyML is pushing opportunities forward. As we’ve moved through 2024, the evolving nature of AI has been a major theme on the podcast, alongside key innovations in generative AI, edge computing, and emerging tools. The tinyML Foundation is a pivotal community, playing a crucial role in advancing low...2024-09-2639 minThe Mr. Beacon Ambient IoT PodcastThe Mr. Beacon Ambient IoT PodcastAI Running on the Edge with tinyMLIn this episode, Pete Bernard, CEO of TinyML.org, explores the groundbreaking world of TinyML—AI running on edge devices like wearables and sensors. We discuss how TinyML is revolutionizing industries by enabling AI in resource-constrained environments, covering real-world applications from agriculture to IoT. Tune in to discover how TinyML is set to redefine the future of AI and edge computing.Pete’s Favorite Songs:“Samba Pa Ti” by Santana: https://www.youtube.com/watch?v=timZoOs9ozo“Can’t You Hear Me Knocking” by The Rolling Stones: https://www.youtube.com/watch?v=3fa4HUiFJ6c“Sittin...2024-08-2253 minAI with Sally Ward-FoxtonAI with Sally Ward-FoxtonSensiML Open-Sources TinyML Auto ML ToolsIn this podcast, Sally chats with SensiML CEO Chris Rogers about the state of TinyML today and the company’s decision to open source a big chunk of its TinyML toolchain.2024-06-1239 minEDGE AI PODEDGE AI PODInnovating at the Edge: Infineon's AI-Powered IoT Revolution and the Magic of Machine LearningGet ready to unlock the full potential of AI and IoT with our special guests at Infineon, where innovation leaps off the drawing board and into reality. Grasp the transformative power of Infineon's new PSoC Edge microcontrollers as we discuss how they're reshaping the landscape of Edge AI applications. With Elena Zennaro guiding the conversation and insights from Infineon's own Moenis Iscaros and Imagimob's Sam El-Attia, prepare to gain a fresh perspective on reduced latency, heightened security, and power efficiency like never before.Venture into the intricate world of machine learning with us, as we unpack the...2024-05-201h 06IoT Coffee TalkIoT Coffee Talk205: Big Things Come in TinyMLSend us a textWelcome to IoT Coffee Talk #205 where we have a chat about all things IoT over a cup of coffee or two with some of the industry's leading business minds, thought leaders and technologists in a totally unscripted, organic format. Thanks for joining us. Sit back with a cup of Joe and enjoy the morning banter.This week, Stephanie, Steve, Pete, Leonard, Bill and Dimitri jump on Web3 to talk about:* BAD KARAOKE: "Really Cool Rock Funk Riff", Pete Bernard* The great broadcast battle: ATSC 3.0 versus 5G Multicast/Broadcast2024-04-1956 minThe IoT ShowThe IoT ShowEdge AI Myths and Realities What’s up with AI at the edge? Who better than Daniel Situnayake, Director of ML at Edge Impulse and co-author of the TinyML book (https://www.oreilly.com/library/view/tinyml/9781492052036/) among other things, to respond to this question and share his perspective about Edge AI Myths and Realities? If you like the demo and want to give Edge Impulse a try, visit https://EdgeImpulse.com 2024-04-1651 minData Analytics ChatData Analytics ChatHow Is TinyML Being Used In Business Today, with Bartmoss St. Clair (Head of Artificial Intelligence)In this episode, we explore the emerging field of TinyML and its impact on business today.Bartmoss St Clair, a leader in the AI and Machine Learning industry, joins the podcast. We discuss TinyML and its advantages, including low power consumption, reduced latency, enhanced privacy, and lower business costs. In this episode, we will learn: 00:00 Introduction and Welcome00:35 Meet Bartmoss Sinclair02:38 TinyML: An Overview03:36 Advantages of TinyML06:29 Industry Applications of TinyML11:46 Challenges in Implementing TinyML25:09 The Future of TinyML31:58 Conclusion and Shoutouts...2024-04-0937 minBetterTechBetterTechFuture Trends: The Evolution of tinyML and Embedded SystemsIn this episode of Better Tech, focusing on the evolution and future prospects of TinyML and embedded systems, Peggy Tsai engages in a compelling conversation with Prateek Tripathi, the founder and CEO of AIRS ML. Prateek discusses the challenges and opportunities in the integration of artificial intelligence (AI) in embedded systems, particularly in the manufacturing industry and the challenges of convincing traditional industries to adopt AI and the potential of using analog signal processing for low-power systems.2024-02-1522 minGPT ReviewsGPT ReviewsCombatting Misinformation with Digital Marks 🛡️ // Stable Code 3B 💻 // TinyML Potential 🌱OpenAI's plan to combat election misinformation, Stable Code 3B's promise to revolutionize coding, and the potential uses of Tiny Machine Learning are all discussed. Additionally, the paper on the Unreasonable Effectiveness of Easy Training Data for Hard Tasks challenges previous assumptions about language models. Overall, this episode provides valuable insights into the latest developments in AI and technology. Contact:  sergi@earkind.com Timestamps: 00:34 Introduction 01:34 Here’s OpenAI’s big plan to combat election misinformation 02:46 Stable Code 3B: Coding on the Edge 04:29 What TinyML is 06:00 Fake sponsor2024-01-1614 minAI UnlockedAI UnlockedData: From Raw to Refined | An Analysis of The Building Blocks of AI Training and Fine-TuningSegment 1: Understanding Different Types of Data Expand on the Types of Data: Dive deeper into text, image, audio, structured, unstructured, and real-time data, providing examples of each. Data Formats: Discuss common data formats like Word documents, PDFs, images, and their roles in AI training. Segment 2: Data Quantity vs. Quality The Balance between Quantity and Quality: Explain why both are essential, with quality often outweighing quantity for effective AI training. Examples of Good Quality Data: Characteristics of high-quality data (accuracy, completeness, relevance). 3: Data Preparation Techniques Data Cleaning and Labeling: Delve into methods for cleaning data...2023-12-2438 minVakwerkVakwerkAndré Gerver, Jeroen Reiber, Kasper Tiebie en Sjoerd Sas over tinyMLtinyML (Tiny Machine Learning) is een nog relatief onbekende en weinig toegepaste vorm van AI. De technologie biedt echter ongekende toepassingsmogelijkheden voor het bedrijfsleven. Met name interessant voor het mkb, aangezien het relatief goedkoop is!Bij Techport hebben ze er in een aantal use cases bij bedrijven inmiddels ervaring mee opgedaan. André Gerver was daarbij de gangmaker - samen met Jeroen Reiber (Hilton Foods) ontwikkelde hij een use case die verder werd uitgewerkt door Kasper Tiebie en Sjoerd Sas. De twee laatstgenoemden waren ten tijde van de opdracht nog student, maar zijn inmiddels afgestudeerd.In deze ed...2023-11-2933 minEntrepreneurship & Unternehmertum in ÖsterreichEntrepreneurship & Unternehmertum in ÖsterreichVordenkertag 2023 – Teil 2: tinyML – die verdeckte KI Revolution für eingebettete Systeme am Beispiel des europäischen Projekts ECOMAIVordenkertag 2023: Künstliche IntelligenzKünstliche Intelligenz beschleunigt die Digitalisierung. Sie analysiert digitale Daten, automatisiert menschliche Tätigkeiten und simuliert im weiteren Prozess menschliches Verhalten. Damit stellt sich die Frage nach der Differenzierung Mensch/Maschine, die in der Folge auch gesellschaftliche und politische Auswirkungen hat. Diese aktuelle Entwicklung läutet eine Zeitenwende ein, die für die Zukunft von uns Unternehmer:innen bestimmend ist.Die Folge entstand vor Livepublikum im Palais Eschenbach.www.gewerbeverein.at2023-11-2027 minThe Electromaker ShowThe Electromaker ShowArduino TinyML board, Nordic's Arduino Comptible Wifi 6 expansions, ESP32 Rover, and More!This week's Electromaker Show is now available on YouTube and everywhere you get your podcasts! Welcome to the Electromaker Show episode 129! This week we discover space with CircuitMess, check out Nordic's new Wi-Fi 6 expansion cards, and learn about the Arduino Nano 33 BLE Sense - our prodcut of the week! Tune in for the latest maker, tech, DIY, IoT, embedded, and crowdfunding news stories from the week.   Watch the show! We publish a new show every week. Subscribe here: https://www.youtube.com/channel/UCiMO2NHYWNiVTzyGsPYn4DA?sub_c...2023-11-1726 minBrainChip PodcastBrainChip PodcastPodcast with Edge Impulse CEO Zach Shelby on AI after the “hype cycle,” generated data sets, the tradeoffs of scale, and addressing real-world needs.Zach Shelby, CEO of Edge Impulse, was a recent guest on the BrainChip podcast. Shelby is an IoT pioneer in simplifying development platforms for AI at the edge. He brought his passion for machine learning, embedded solutions and IoT to this lively and enlightening discussion with BrainChip CMO Nandan Nayampally. Hear about Shelby’s astounding metrics for developer recruitment, training volume, and adoption; using AI to fill the gap when data sets are small or non-existent; the challenges of bringing AI to manufacturing and real-world use cases. Shelby is a familiar and highly respected leader in the ML...2023-11-1044 minIoT For All PodcastIoT For All PodcastSoftware-Defined IoT and Sustainable Design | MicroEJ's Semir Haddad | Internet of Things PodcastIoT is hardware plus software, but many people still develop it as if it was hardware. Semir Haddad from MicroEJ joins Ryan Chacon on the IoT For All Podcast to discuss software-defined IoT. They talk about the benefits of a software-defined approach, green software, performance trade-offs, and sustainable design principles. Semir Haddad is the Chief Product and Strategy Officer at MicroEJ. Semir has over 20 years of experience working with industry leaders and startups, bringing innovative technologies to industrial and consumer markets. Early in his career, he worked on digital video and audio, creating the first DVD player, and developing...2023-10-0317 minOrchestrate all the ThingsOrchestrate all the ThingsUseful Sensors launches AI in a Box, aiming to establish a different paradigm for edge computing and TinyML. Featuring Pete Warden, Useful Sensors CEO / FounderWould you leave a Google Staff Research Engineer role just because you want your TV to automatically pause when you get up to get a cup of tea? Actually, how is that even relevant, you might ask. Let's see what Pete Warden, former Google Staff Research Engineer and now CEO and Founder of Useful Sensors, has to say about that. Although naturally much of what he did was based off things others were already working on, Warden is sometimes credited as having kickstarted the TinyML subdomain of machine learning. Either way TinyML is getting big, and Warden...2023-09-2142 minThe Internet of Things PodcastThe Internet of Things PodcastEpisode 435: How Honeywell is approaching TinyML2023-08-101h 04IoT Podcast – Internet of ThingsIoT Podcast – Internet of ThingsEpisode 435: How Honeywell is approaching TinyMLThis week we make a big announcement about the podcast and newsletter. Get ready! Then we talk about the issues with Matter and who’s to blame. We lay out the challenges that both we and The Verge have highlighted with Thread credentialing, and talk about uneven device support. It’s a mess. Other messy topics include the prospect of hacked radiation sensors in Chernobyl, as reported by Kim Zetter. Then we get chippy, discussing the new RISC-V company that Qualcomm, NXP, Infineon, and others are backing, and the proposed sale of an IoT module business to Renesas. A dron...2023-08-101h 04The Internet of Things Podcast - Stacey On IoTThe Internet of Things Podcast - Stacey On IoTEpisode 435: How Honeywell is approaching TinyMLThis week we make a big announcement about the podcast and newsletter. Get ready! Then we talk about the issues with Matter and who’s to blame. We lay out the challenges that both we and The Verge have highlighted with Thread credentialing, and talk about uneven device support. It’s a mess. Other messy topics include the prospect of hacked radiation sensors in Chernobyl, as reported by Kim Zetter. Then we get chippy, discussing the new RISC-V company that Qualcomm, NXP, Infineon, and others are backing, and the proposed sale of an IoT module business to Renesas. A dron...2023-08-101h 04RecastRecastReCast #31 - Le Tiny Machine Learning : ses enjeux, ses défis et ses perspectives avec Walid Abdaoui[ReCast] Le podcast RevolveL'objectif est simple : décoder pour vous les tendances et les enjeux du numérique, de la technologie et de l'environnement cloud tout en assurant la transmission et le partage des connaissances.Pour ce trente-et-unième épisode des ReCasts de Devoteam Revolve, plongeons dans le monde du Tiny Machine Learning. Mais, qu'est-ce que le Tiny ML ? Quelles sont ses applications concrètes, les frameworks utilisés ou encore les enjeux et l'importance de l'optimisation des modèles de Machine Learning ? Autant de questions que Walid Abdaoui a...2023-07-1839 minMLOps.communityMLOps.communityFrom Arduinos to LLMs: Exploring the Spectrum of ML // Soham Chatterjee // MLOps Podcast #162MLOps Coffee Sessions #162 with Soham Chatterjee, From LLMs to TinyML: The Dynamic Spectrum of MLOps co-hosted by Abi Aryan. // Abstract Explore the spectrum of MLOps from large language models (LLMs) to TinyML. Soham highlights the difficulties of scaling machine learning models and cautions against relying exclusively on open AI's API due to its limitations. Soham is particularly interested in the effective deployment of models and the integration of IoT with deep learning. He offers insights into the challenges and strategies involved in deploying models in constrained environments, such as remote areas with limited power and utilizing small devices like...2023-06-2044 minThe Internet of Things Podcast - Stacey On IoTThe Internet of Things Podcast - Stacey On IoTEpisode 423: Why Wemo is a no go for usWe start this week’s show with a conversation about Latch, the company that is acquiring Jamie Siminoff’s stealth startup. Siminoff, who also founded Ring, left Amazon (which had acquired Ring in 2018) this week ahead of the planned deal. He will become the CEO of Latch after the deal closes. Then we discuss Google I/O and wonder why we didn’t hear more about Google Assistant, and explore what it means to bring large language models to the smart home. Surveillance is a possibility. And for residents of public housing in the U.S., surveillance is a realit...2023-05-1859 minThoughtworks Technology PodcastThoughtworks Technology PodcastTinyML: Bringing machine learning to the edgeWhen we think about machine learning today we often think in terms of immense scale — large language models that require huge amounts of computational power, for example. But one of the most interesting innovations in machine learning right now is actually happening on a really small scale. Thanks to TinyML, models can now be run on small devices at the edge of a network. This has significant implications for the future of many different fields, from automated vehicles to security and privacy. In this episode of the Technology Podcast, hosts Scott Shaw and Rebecca Parsons are...2023-05-0445 min