Shows
સ્કોલરલી સાઉન્ડ્સવન્યજીવન સંરક્ષણમાં TinyML: પક્ષીઓના અવાજથી દુર્લભ પ્રજાતિઓ શોધવાની ક્રાંતિકારી ટેક્નોલોજીઆ એપિસોડમાં આપણે જાણશું કે કેવી રીતે TinyML ટેક્નોલોજી વન્યજીવન સંરક્ષણના ક્ષેત્રમાં ક્રાંતિ લાવી રહી છે. પક્ષીઓના અવાજોના આધારે દુર્લભ અને લુપ્તપ્રાય પ્રજાતિઓ શોધવા માટે આ ટેક્નોલોજી કેવી રીતે કાર્ય કરે છે અને તે સંરક્ષણના પ્રયત્નોને વધુ અસરકારક કેવી રીતે બનાવી શકે છે, તેની રોચક ચર્ચા કરશું. જાણો નિષ્ણાતોની દૃષ્ટિએ આ નવીનતમ ટેક્નોલોજીના લાભો અને પડકારોને.
2025-08-3118 min
Scholarly SoundsUntangling the Data Deluge: How TinyML and CAEs Empower Next-Generation Brain-Computer InterfacesThis episode title explores the intersection of Tiny Machine Learning (TinyML) and Convolutional Autoencoders (CAEs) in the context of advanced Brain-Computer Interfaces (BCIs). The title suggests a discussion on how these technologies can effectively manage and interpret the vast amounts of data generated by next-generation BCIs, potentially leading to more efficient and accurate human-machine interactions.
2025-08-3159 minScholarly SoundsSilent Guardians: How TinyML Acoustic Classifiers Revolutionize Wildlife ConservationThis episode explores the innovative use of Tiny Machine Learning (TinyML) acoustic classifiers in wildlife conservation. These cutting-edge technologies provide real-time, on-device analysis of animal sounds, enabling efficient monitoring of species, detection of poaching activities, and the assessment of habitat health. The discussion will cover the technical aspects of TinyML, its deployment in remote areas, and the potential for significant advancements in protecting endangered species and preserving biodiversity.
2025-08-3131 min
Generative AI in the Real WorldPete Warden on Running AI on Small SystemsPete Warden, founder of Useful Sensors and co-author of TinyML, discusses use cases for artificial intelligence that we rarely think about: how can you run AI on very small systems? How can you put AI on consumer devices in ways that are actually useful and not just buzzword-compliant? AI doesn’t have to rely on massive GPU farms. Pete talks about what happens when you exchange one set of requirements (extreme power, heat, and expense) for another (minimal size, cost, and heat).Points of Interest00:00: Introductions, including Pete’s introduction to his company.2:22: What are some of th...
2025-08-1433 min
The 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 00
Deep Learning With The WolfThe Wolf Reads AI- Day 14 – “Distilling the Knowledge in a Neural Network”Title: “Distilling the Knowledge in a Neural Network”Authors: Geoffrey Hinton, Oriol Vinyals, Jeff DeanDate: 2015Institution: Google, Inc.Link: https://arxiv.org/abs/1503.02531Why This Paper MattersThis 2015 paper introduced knowledge distillation, a powerful technique for compressing large, high-performing “teacher” models into smaller, faster “student” models. The key innovation was training the student not just on the correct answers (hard labels), but on the soft targets—the full probability distributions output by the teacher when using a softened softmax function. This richer signal helps the student model learn not just what...
2025-05-0813 min
Software 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 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 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 min
Science 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 Xpress
2025-03-1009 min
EDGE 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 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 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 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 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 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 min
The 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 min
Forging 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 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 min
The 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 min
The 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 min
AI 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 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 06
The 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 min
Data Analytics ChatHow Is TinyML Being Used In Business TodayIn 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 min
BetterTechFuture 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 min
GPT 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 sponsor
2024-01-1614 min
AI 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 min
VakwerkAndré 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 min
The 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 min
BrainChip 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 min
IoT 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 min
Orchestrate 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 min
2023-08-101h 04
IoT 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 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 04
RecastReCast #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 min
MLOps.communityFrom Arduinos to LLMs: Exploring the Spectrum of ML // Soham Chatterjee // #162MLOps Coffee Sessions #162 with Soham Chatterjee, From LLMs to TinyML: The Dynamic Spectrum of MLOps, co-hosted by Abi Aryan. // AbstractExplore 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 OpenAI'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...
2023-06-2044 minThe 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 min
Thoughtworks 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
AI Australia PodcastWomen in AI APAC Interview Series episode 3 - Aruna KolluruEliiza is teaming up with Jewelrock and Women in AI APAC to run a limited interview series in support of the Women in AI Awards 2023. The series will showcase conversations with a number of thought leaders and subject matter experts across industry and academia in Australia and New Zealand on topics like career, the future of AI technologies and the responsible application of AI. Our esteemed guests are all representing sponsors of the Women in AI Awards, which will be held on 16th June in Sydney for the APAC region. Our next guest is Aruna...
2023-04-2621 min
IoT For All PodcastThe Trends Driving Edge Computing | Nubix's Jason Shepherd | Internet of Things PodcastWhat trends are driving edge computing? Jason Shepherd, CEO of Nubix, joins Ryan Chacon on the IoT For All Podcast to discuss edge computing and IoT. They cover the impact of trends on technology providers, the current IoT platform landscape, the intersection of AI and IoT, what TinyML is, tips on a holistic view of IoT and edge computing, and the challenges of IoT and edge computing.
2023-04-1824 min
The Gradient: Perspectives on AIDaniel Situnayake: AI on the EdgeIn episode 67 of The Gradient Podcast, Daniel Bashir speaks to Daniel Situnayake. Daniel is head of Machine Learning at Edge Impulse. He is co-author of the O’Reilly books "AI at the Edge" and "TinyML". Previously, he’s worked on the Tensorflow Lite team at Google AI and co-founded Tiny Farms, an insect farming company. Daniel has also lectured in AIDC technologies at Birmingham City University.Have suggestions for future podcast guests (or other feedback)? Let us know here!Subscribe to The Gradient Podcast: Apple Podcasts | Spotify | Pocket Casts | RSSFollow The Gradient on Twitter
2023-04-061h 58
The Electromaker ShowDIY Smart Lock, MNT Pocket Reform, Orange Pi 5 and more!This week's Electromaker Show is now available on YouTube and everywhere you get your podcasts! Welcome to the Electromaker Show episode 104! This week we look at some incredible maker projects, find out what a Haxophone is, and look at some fantastic new products and updates. 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_confirmation=1 We s...
2023-03-2929 min
Double Take By BNY Investments NewtonShrinking Machine LearningWhat are the potential ramifications of this rising new chapter of generative artificial intelligence (AI)? We discuss with Davis Sawyer, co-founder and chief product officer at Deeplite and chairperson at tinyML Foundation.
2023-03-2731 min
Embedded InsidersICYMI: embedded world 2023Send a textOn this episode of Embedded Insiders, Tom Burke, Global Strategic Advisor for CC-Link Partner Association, also known as the CLPA, joins us again to discuss the impact of TSN technology on IT/OT convergence.Then, Rich and Vin are discussing TinyML and its growing popularity, how it differs from the machine learning tools we’ve used prior, and how it’s being used today. But first, Brandon and Rich recap their recent trip to Nuremberg to attend embedded world 2023. The two discuss the attendance, some of their favorite up and comin...
2023-03-2341 minThe Internet of Things Podcast - Stacey On IoTEpisode 415: Making meaning from Matter product delaysThis week’s show starts off with our take on Belkin deciding to hold off on releasing Matter products, and an update on Matter plans from other vendors including Wyze and Yale. We also talk about Nanoleaf’s new Matter-compatible Essentials bulbs and lights strips. We try to explain why Matter is still frustrating to use and wonder where all the other gear is. Then we discuss Google killing both Glass and its Jacquard touch-sensitive fabric interface. Samsung has a new ultra-wideband chip called the U100 and we talk about where that might be used. In LPWAN news, Unabiz has...
2023-03-2352 min
The STEM SpaceRobots and Computer Science ft Hal SpeedShow Summary: In this episode, Claire has the privilege of chatting with the head of Robotical for North America, Hal Speed, who has a passion for promoting computer science, robotics, and artificial intelligence among other technology concepts and skills with the next generation of problem solvers. Tune in to hear about a new robot that you can try for free and find out how you can bring more tech skills to your students.Links from the Show: From this Episode Marty the Robot—>Free Trial —>Learning Resources
2023-02-0338 min
EmbeddedChirping With the ExpertsDaniel Situnayake joined us to talk about AI, embedded systems, his new book on the previously mentioned topics, and writing technical books. Daniel’s book is AI at the Edge: Solving Real-World Problems with Embedded Machine Learning from O’Reilly Media.He is also the Head of Machine Learning at Edge Impulse, which makes machine learning on embedded devices simpler. They have a Responsible AI License which aims to keep our robot overlords from being too evil.We mentioned AI Dungeon as an amusing D&D style adventure with an AI. We also talke...
2022-12-091h 05
EmbeddedChirping With the ExpertsDaniel Situnayake joined us to talk about AI, embedded systems, his new book on the previously mentioned topics, and writing technical books. Daniel's book is AI at the Edge: Solving Real-World Problems with Embedded Machine Learning from O'Reilly Media. He is also the Head of Machine Learning at Edge Impulse, which makes machine learning on embedded devices simpler. They have a Responsible AI License which aims to keep our robot overlords from being too evil. We mentioned AI Dungeon as an amusing D&D style adventure with an AI. We also talked about C...
2022-12-091h 05
The IoT PodcastE04 | Tiny ML for Good: Machine Learning at its Greatest | Evgeni Gousev, Tiny ML FoundationIn E04, we're joined by Evgeni Gousev, Chairman of the TinyML Foundation & Senior Director of Qualcomm Technologies to find out about the three pillars of impact from TinyML: commercial, for good and data democratisation.
Know what you're looking for? Check out the chapters below…
🎙 01:20 - What is TinyML Technology?
🎙 02:43 - What does the TinyML Foundation do?
🎙 04:29 - Vision of the TinyML Foundation
🎙 05:51 - Why enter the TinyML field?
🎙 10:29 - Any ecosystem is as strong as it is diverse
🎙 13:03 - Impact of TinyML - How can we connect this tech to real-world problems?
2022-11-0858 minThe Internet of Things Podcast - Stacey On IoTEpisode 394: This company thinks TinyML will be bigTinyML is about to get really big, or at least that’s what a startup thinks, as we explain on this week’s podcast. Useful Sensors is the company that’s making inexpensive, low-powered edge sensors in a way that protects privacy. We discuss why we agree with that approach. Next up are our thoughts on why 5G really … Continue reading Episode 394: This company thinks TinyML will be big
The post Episode 394: This company thinks TinyML will be big appeared first on IoT Podcast - Internet of Things.
2022-10-2052 min
Conversations on Applied AIPete Warden - Bringing Deep Learning to Microcontrollers with TinyMLThe conversation this week is with Pete Warden. Pete's mission is simple: Organizing the physical world's information to make it universally accessible and useful. He was the founder and CTO at Jetpac where he built a technical team and created a unique data product that analyzed the pixel data, over 140 million photos from Instagram and turn them into in depth guides for more than 5000 cities around the world. Jetpac was acquired by Google in 2014. From there, he was a founding member and technical lead of the TensorFlow mobile team responsible for deep learning on mobile and embedded devices. Today...
2022-10-1146 min
Machine Learning Archives - Software Engineering DailyEdge Impulse with Daniel SitunayakeToday, we spoke with Daniel Situnayake of Edge Impulse. We discussed AI, machine learning, edge devices, TinyML and AI tool chain.
Sponsorship inquiries: sponsor@softwareengineeringdaily.com
The post Edge Impulse with Daniel Situnayake appeared first on Software Engineering Daily.
2022-10-0149 min
Software Engineering DailyEdge Impulse with Daniel SitunayakeToday, we spoke with Daniel Situnayake of Edge Impulse. We discussed AI, machine learning, edge devices, TinyML and AI tool chain.Sponsorship inquiries: sponsor@softwareengineeringdaily.comMerge: check out Merge today at https://www.merge.dev/dailyApple Card: https://www.apple.com/apple-card/Keeper Security: Get started by visiting https://www.keepersecurity.com/Wix: Head over to https://Wix.com/Partners and reimagine what your agency can accomplish.Work OS: To learn more and get started, go to https://softwareengineeringdaily.c...
2022-09-3054 min
Towards Data Science127. Matthew Stewart - The emerging world of ML sensorsToday, we live in the era of AI scaling. It seems like everywhere you look people are pushing to make large language models larger, or more multi-modal and leveraging ungodly amounts of processing power to do it.
But although that’s one of the defining trends of the modern AI era, it’s not the only one. At the far opposite extreme from the world of hyperscale transformers and giant dense nets is the fast-evolving world of TinyML, where the goal is to pack AI systems onto small edge devices.
My guest today is Matthew Stew...
2022-09-2141 min
Conversations on Applied AITom Doyle - Applying AI to Always On Sensing DevicesThe conversation this week is with Tom Doyle. Tom is a veteran in the semiconductor industry working in many different areas over the last 35 years, including RF and satellites, analog and mixed-signal integrated circuit solutions, IP software, and sales. He holds a BS in Electrical Engineering from West Virginia University and an MBA from California State University. Tom is the CEO of Aspinity. Aspinity is a world leader in the design and development of analog machine learning chips that are revolutionizing the architecture of always-on sensing devices that run on batteries. Aspinity is the second startup Tom founded and...
2022-08-1630 min
DataFramed#100 Embedded Machine Learning on Edge DevicesMachine learning models are often thought to be mainly utilized by large tech companies that run large and powerful models to accomplish a wide array of tasks. However, machine learning models are finding an increasing presence in edge devices such as smart watches.
ML engineers are learning how to compress models and fit them into smaller and smaller devices while retaining accuracy, effectiveness, and efficiency. The goal is to empower domain experts in any industry around the world to effectively use machine learning models without having to become experts in the field themselves.
Daniel Situnayake...
2022-08-1552 min
Conversations on Applied AIGian Marco - Combining AI and Low-Power Devices to Make the World SmarterThe conversation this week is with Gian Marco. Gian is a tech lead in the machine learning group at ARM and the author of the TinyML Cookbook published in April of 2022. At ARM Gian looks after the ML performance optimizations for the arm compute library, which he co-created in 2017 to get the best performance on ARM Cortex-A CPUs. ARM Compute Library is currently the most performant library for machine learning on ARM. And it's deployed on billions of devices worldwide from servers to smartphones. Gian holds an MSC with honors in Electronic Engineering from the University of Pisa in...
2022-08-0241 min
Conversations on Applied AIBlair Newman - Making Edge Devices Intelligent With No-Code AutomationThe conversation this week is with Blair Newman. Blair is an accomplished executive with more than 25 years of experience creating business value within the information technology industry. He's a decisive leader managing and overseeing PnLs, building pipelines, and generating multimillion-dollar cost savings by acquisitions and IT transformations. He is currently the Chief Technology Officer at Newton AI where he and the team helped companies automatically build extremely tiny and explainable models without needing a Machine Learning background. Prior to his current role. He was head of computing services and solutions at T-Systems North America for more than 10 years.
2022-07-1933 min
Conversations on Applied AIRob Telson - Edge AI on-Chip Processing and LearningThe conversation this week is with Rob Telson. Rob is an experienced sales leader with a demonstrated successful history working in the software and semiconductor industry, skilled and driving growth, negotiation, sales management, organizational leadership and technology. He holds degrees from the University of Arizona and Harvard Business School, and is the Vice President of Worldwide Sales and Marketing at BrainChip Holdings Limited, a company that is focused on software and hardware-accelerated solutions for advanced artificial intelligence and machine learning applications.If you are interested in learning about how AI is being applied across multiple industries, be...
2022-06-2139 min
Conversations on Applied AIBrandon Satrom - AI and IoT in a World of Digital TransformationThe conversation this week is with Brandon Satrom. Brandon is the VP of Developer Experience and Engineering at Blues Wireless, a driven technologist and experienced leader with a background in product management, strategy, architecture, software development and developer advocacy. He describes himself as a technologist first, and loves to use what he knows and learns to teach others how to build things and solve problems with the latest technologies and platforms. Finally, he has a mentor at the RIoT Accelerator Program, and will actually be presenting at our applied AI meetup on July 7, he'll be speaking on Smarter Everything...
2022-06-1438 min
The Electromaker ShowArduino User Groups Return, new RP2040 boards, TinyML Drill!This week's Electromaker Show is now available on YouTube and everywhere you get your podcasts! Welcome to the Electromaker Show episode 83! Some fantastic new Raspberry Pi-related boards, the return of Arduino User Groups, and more! 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_confirmation=1 We stock the latest products from Adafruit, Seeed Studio, Pimoroni, Sparkfun, and many m...
2022-06-1029 min
The Electromaker ShowML on Arduino, Framework's Open Hardware, Miniature Billiards Game, and More!This week's Electromaker Show is now available on YouTube and everywhere you get your podcasts! Welcome to the Electromaker Show episode 80! This week we look at machine learning running on an Arduino Uno, a new kind of vision sensor, and Framework's plan for old laptop mainboards. 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_confirmation=1 W...
2022-04-2928 min
Club 15 - Advocacy Has No Age LimitstinyML with AdamAdam Benzion explains what tinyML is and how his company Edge Impulse is working to save elephants and more.
2022-04-0132 min
Momenta I Digital ThreadEvgeni Gousev, Chairman, tinyML Foundation - tinyML EcosystemMomenta's podcast with Evgeni Gousev, Chairman, tinyML Foundation. The foundation, with over 10,000 members, guides the ecosystem's technological approach and educates key audiences. Tiny machine learning technologies and applications consume extremely little power, generally in the mW range or less. Find out more about this interesting community.
2022-03-1633 min
Stanford MLSys Seminar3/3/22 #57 Vijay Janapa Reddi - TinyML, Harvard StyleVijay Janapa Reddi - Tiny Machine LearningTiny machine learning (TinyML) is a fast-growing field at the intersection of ML algorithms and low-cost embedded systems. TinyML enables on-device analysis of sensor data (vision, audio, IMU, etc.) at ultra-low-power consumption (less than 1mW). Processing data close to the sensor allows for an expansive new variety of always-on ML use-cases that preserve bandwidth, latency, and energy while improving responsiveness and maintaining privacy. This talk introduces the vision behind TinyML and showcases some of the interesting applications that TinyML is enabling in the field, from wildlife conservation to supporting public...
2022-03-0457 min
The Electromaker ShowPi Zero Handheld, Arduino TensorFlow Weather Prediction, MangoPI RISC-V and More!This week's Electromaker Show is now available on YouTube and everywhere you get your podcasts! Welcome to the Electromaker Show episode 73! This week we take a look at a beautiful Raspberry Pi Zero handheld, an in-depth Arduino and TensorFlow weather project, along with the latest News and Crowdfunding projects from the Maker and Embedded world! 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.c...
2022-02-1633 minStanford MLSys Seminar1/21/21 #9 Song Han - Reducing AI's Carbon FootprintSong Han - TinyML: Reducing the Carbon Footprint of Artificial Intelligence in the Internet of Things (IoT)Deep learning is computation-hungry and data-hungry. We aim to improve the computation efficiency and data efficiency of deep learning. I will first talk about MCUNet[1] that brings deep learning to IoT devices. The technique is tiny neural architecture search (TinyNAS) co-designed with a tiny inference engine (TinyEngine), enabling ImageNet-scale inference on an IoT device with only 1MB of FLASH. Next I will talk about TinyTL[2] that enables on-device training, reducing the memory footprint by 7-13x. Finally, I will describe D...
2022-02-1556 minThe Internet of Things Podcast - Stacey On IoTEpisode 356: Smart home improvement is now a thingThis week’s show starts with a healthy portion of chips, with the main course being Nvidia’s reported acceptance that its deal to acquire ARM isn’t likely to happen. We then turn to the U.S. Commerce Department’s plans to combat the chip shortage crisis, new ML chips from Silicon Labs, Google’s first TinyML Coral microcontroller, and … Continue reading Episode 356: Smart home improvement is now a thing
The post Episode 356: Smart home improvement is now a thing appeared first on IoT Podcast - Internet of Things.
2022-01-271h 00
Yannic Kilcher Videos (Audio Only)[ML News] OpenAI removes GPT-3 waitlist | GauGAN2 is amazing | NYC regulates AI hiring tools#mlnews #gaugan #gpt-3
Your weekly dose of ML News!
More GauGAN images here: https://drive.google.com/drive/folder...
OUTLINE:
0:00 - Intro
0:20 - Sponsor: Weights & Biases
2:20 - OpenAI's removes GPT-3 Waitlist
4:55 - NVIDIA releases GauGAN2 Webapp
9:45 - Everyday Robots tackles real-life tasks
12:15 - MetNet-2: 12-hour Rain Forecasting
14:45 - TinyML Dog Bark Stopper
15:55 - AI learns to drive Mario Kart 64 on real hardware
17:40 - NYC regulates bias in AI hiring...
2021-12-0329 min
Roll For EnterpriseS2E47: WebEx Is Good, ActuallyHave you tried WebEx lately?Whither Skype?Did Zoom depend too much on growth-hacking dirty tricks? https://findthethread.postach.io/post/the-thing-with-zoomZoom loses Five9 while WebEx extends gap with Contact Center capabilitieshttps://www.cisco.com/c/en/us/products/contact-center/webex-contact-center/index.htmlNvidia's on a Roll - Nvidia’s just beginningTinyMLGlobal shipments of TinyML chipsets are expected to reach 2.5 billion units by 2030, representing a 164x increase from 2020.https://www.arm.com/blogs/blueprint/tinyml...
2021-11-2135 min
Gradient Dissent: Conversations on AIPete Warden — Practical Applications of TinyMLPete is the Technical Lead of the TensorFlow Micro team, which works on deep learning for mobile and embedded devices.Lukas and Pete talk about hacking a Raspberry Pi to run AlexNet, the power and size constraints of embedded devices, and techniques to reduce model size. Pete also explains real world applications of TensorFlow Lite Micro and shares what it's been like to work on TensorFlow from the beginning.The complete show notes (transcript and links) can be found here: http://wandb.me/gd-pete-warden---Connect with Pete:📍 Twitter: htt...
2021-10-2153 min
Electro MonkeysMachine Learning avec Emmanuel BenazeraLe machine learning consiste à laisser la machine générer un code informatique plutôt que ce dernier ne soit écrit par un humain. Il est encore souvent supervisé, c'est-à-dire que le jeu de données utilisé pour entraîner l'algorithme est étiqueté, mais on rencontre de plus en plus souvent des modes d'apprentissage non supervisés.
D'après Emmanuel Benazera, mon invité dans ce podcast et Senior Research Engineer in Artificial Intelligence à Jolibrain, le machine learning sert principalement deux objectifs : automatiser les tâches récurrentes, comme par exemple modérer les contenus d'un réseau social, et à re...
2021-07-2858 min
Todos a bordo !Sistemas embarcados com inteligência artificialLinks da conversa:
https://www.embarcados.com.br/seminario-de-sistemas-embarcados-e-iot-2021-edicao-online/
https://en.wikipedia.org/wiki/Mel-frequency_cepstrum
https://www.syntiant.com/
http://encurtador.com.br/hjOZ5
https://www.tensorflow.org/lite/microcontrollers
https://en.wikipedia.org/wiki/Fast_Fourier_transform
https://blog.tensorflow.org/2020/08/the-future-of-ml-tiny-and-bright.html
https://ieeexplore.ieee.org/document/9166461/ (TinyML-Enabled Frugal Smart Objects: Challenges and Opportunities)
https://www.mdpi.com/1424-8220/20/9/2533 (Edge Machine Learning for AI-Enabled IoT Devices)
2021-07-061h 22
Orchestrate all the ThingsMachine learning at the edge: TinyML is getting big. Featuring Qualcomm Senior Director Evgeni Gousev, Neuton CTO Blair Newman and Google Staff Research Engineer Pete WardenBeing able to deploy machine learning applications at the edge is the key to unlocking a multi-billion dollar market. TinyML is the art and science of producing machine learning models frugal enough to work at the edge, and it's seeing rapid growth.
Edge computing is booming. Although the definition of what constitutes edge computing is a bit fuzzy, the idea is simple. It's about taking compute out of the data center, and bringing it as close to where the action is as possible.
Whether it's stand-alone IoT sensors, devices of all kinds, drones, or autonomous...
2021-06-071h 05