Best Machine Learning On Edge Devices Podcasts (2025)

1
How Weeteq is Revolutionizing Microcontroller Technology for Industrial Automation 20:30

2d ago20:30

20:30

What happens when you push AI to the absolute edge of networks? Meet Weeteq, a Scottish startup revolutionizing system optimization by bringing intelligence directly into microcontroller control loops. In this fascinating conversation with Martin from Weeteq, we explore the concept of "Ultra Edge" - technology that operates beyond what we typically…

1
Infrastructure Scaling and Compound AI Systems with Jared Quincy Davis - #740 1:13:02

4d ago1:13:02

1:13:02

In this episode, Jared Quincy Davis, founder and CEO at Foundry, introduces the concept of "compound AI systems," which allows users to create powerful, efficient applications by composing multiple, often diverse, AI models and services. We discuss how these "networks of networks" can push the Pareto frontier, delivering results that are simultaneo…

1
From Cloud to Edge: NXP's AI Journey with Ali Ors 20:40

9d ago20:40

20:40

The line between cloud and edge AI is blurring, and NXP Semiconductors stands at the forefront of this transformation. In this illuminating conversation, Ali Ors, Head of AI Strategy and Technologies at NXP, unveils how the semiconductor giant is embedding dedicated AI acceleration across their entire product portfolio—from basic microcontrollers t…

1
Building Voice AI Agents That Don’t Suck with Kwindla Kramer - #739 1:13:02

8d ago1:13:02

1:13:02

In this episode, Kwindla Kramer, co-founder and CEO of Daily and creator of the open source Pipecat framework, joins us to discuss the architecture and challenges of building real-time, production-ready conversational voice AI. Kwin breaks down the full stack for voice agents—from the models and APIs to the critical orchestration layer that manages…

1
From Arduino to AI: A 20-Year Journey with David Cuartielles 22:57

16d ago22:57

22:57

Twenty years after its founding in a small Italian café, Arduino has transformed from a simple open-source project into a global technology enabler that's educated an entire generation of makers, developers, and engineers. In this fascinating conversation with Arduino co-founder David Cuartielles, we explore the evolution of this groundbreaking pla…

1
Distilling Transformers and Diffusion Models for Robust Edge Use Cases with Fatih Porikli - #738 1:00:29

16d ago1:00:29

1:00:29

Today, we're joined by Fatih Porikli, senior director of technology at Qualcomm AI Research for an in-depth look at several of Qualcomm's accepted papers and demos featured at this year’s CVPR conference. We start with “DiMA: Distilling Multi-modal Large Language Models for Autonomous Driving,” an end-to-end autonomous driving system that incorpora…

1
From Sensors to Solutions: The Future of Edge AI with Chad Lucien of Ceva 17:06

23d ago17:06

17:06

At the crossroads of cutting-edge technology and practical innovation stands Ceva, a semiconductor IP powerhouse with a remarkable two-decade legacy. Powering nearly 20 billion devices worldwide and shipping over 2 billion annually, SIVA has emerged as a crucial enabler in the burgeoning edge AI ecosystem. What distinguishes Ceva in this competitiv…

1
EDGE AI Partner: David Aronchick of Expanso 21:51

1M ago21:51

21:51

The digital landscape is rapidly evolving beyond centralized cloud computing. In this illuminating conversation with David Aronchik, co-founder of Expanso, we explore the growing necessity of processing data right where it's generated—at the edge. Drawing from his impressive background as the first non-founding PM for Kubernetes at Google and his l…

1
Building the Internet of Agents with Vijoy Pandey - #737 56:13

1M ago56:13

56:13

Today, we're joined by Vijoy Pandey, SVP and general manager at Outshift by Cisco to discuss a foundational challenge for the enterprise: how do we make specialized agents from different vendors collaborate effectively? As companies like Salesforce, Workday, and Microsoft all develop their own agentic systems, integrating them creates a complex, pr…

1
Bringing Generative AI to Your Pocket: The Future of Edge Computing 27:10

1M ago27:10

27:10

A technological revolution is quietly unfolding in your pocket. Imagine your phone creating stunning images, understanding what its camera sees, and responding to complex questions—all without sending a single byte of data to the cloud. This isn't science fiction; it's Generative EDGE AI, and it's already here. We dive deep into this transformative…

1
LLMs for Equities Feature Forecasting at Two Sigma with Ben Wellington - #736 59:31

1M ago59:31

59:31

Today, we're joined by Ben Wellington, deputy head of feature forecasting at Two Sigma. We dig into the team’s end-to-end approach to leveraging AI in equities feature forecasting, covering how they identify and create features, collect and quantify historical data, and build predictive models to forecast market behavior and asset prices for tradin…

1
Audio AI on the Edge with Ceva 59:47

1M ago59:47

59:47

Audio processing at the edge is undergoing a revolution as deep learning transforms what's possible on tiny, power-constrained devices. Daniel from SIVA takes us on a fascinating journey through the complete lifecycle of audio AI models—from initial development to real-world deployment on microcontrollers. We explore two groundbreaking applications…

1
Zero-Shot Auto-Labeling: The End of Annotation for Computer Vision with Jason Corso - #735 56:45

2M ago56:45

56:45

Today, we're joined by Jason Corso, co-founder of Voxel51 and professor at the University of Michigan, to explore automated labeling in computer vision. Jason introduces FiftyOne, an open-source platform for visualizing datasets, analyzing models, and improving data quality. We focus on Voxel51’s recent research report, “Zero-shot auto-labeling riv…

1
Garbage In, Garbage Out - High-Quality Datasets for Edge ML Research 21:17

2M ago21:17

21:17

The EDGE AI FOUNDATION's Datasets & Benchmarks Working Group highlights the rapid progress in neural networks, particularly in cloud-based applications like image recognition and NLP, which benefited greatly from large, high-quality datasets. However, the constrained nature of edge AI devices necessitates smaller, more efficient models, yet a lack …

1
Grokking, Generalization Collapse, and the Dynamics of Training Deep Neural Networks with Charles Martin - #734 1:25:21

2M ago1:25:21

1:25:21

Today, we're joined by Charles Martin, founder of Calculation Consulting, to discuss Weight Watcher, an open-source tool for analyzing and improving Deep Neural Networks (DNNs) based on principles from theoretical physics. We explore the foundations of the Heavy-Tailed Self-Regularization (HTSR) theory that underpins it, which combines random matri…

1
Edge AI Investing Essentials 56:00

2M ago56:00

56:00

The path to successful investment in edge AI requires far more than technical brilliance. In this revealing panel discussion, venture capitalists and corporate investors share what truly matters when deciding where to place their bets in the evolving edge computing landscape. At the heart of every investment decision lies a deceptively simple quest…

1
Google I/O 2025 Special Edition - #733 26:21

2M ago26:21

26:21

Today, I’m excited to share a special crossover edition of the podcast recorded live from Google I/O 2025! In this episode, I join Shawn Wang aka Swyx from the Latent Space Podcast, to interview Logan Kilpatrick and Shrestha Basu Mallick, PMs at Google DeepMind working on AI Studio and the Gemini API, along with Kwindla Kramer, CEO of Daily and cre…

1
Beyond the Edge: Cloud and AI Convergence 13:47

2M ago13:47

13:47

Beyond the Edge, from the EDGE AI FOUNDATION, explores the future of edge computing by advocating for a shift in perspective. It suggests moving beyond the limitations of traditional IoT deployments by integrating advancements in edge AI, semiconductors, and connectivity. The author argues that the cloud will serve as a crucial "binding agent," ena…

1
RAG Risks: Why Retrieval-Augmented LLMs are Not Safer with Sebastian Gehrmann - #732 57:09

2M ago57:09

57:09

Today, we're joined by Sebastian Gehrmann, head of responsible AI in the Office of the CTO at Bloomberg, to discuss AI safety in retrieval-augmented generation (RAG) systems and generative AI in high-stakes domains like financial services. We explore how RAG, contrary to some expectations, can inadvertently degrade model safety. We cover examples o…

1
Investing In The Edge: A VC Panel from AUSTIN 2025 42:43

2M ago42:43

42:43

Send us a text Support the show Learn more about the EDGE AI FOUNDATION - edgeaifoundation.orgBy EDGE AI FOUNDATION

1
From Prompts to Policies: How RL Builds Better AI Agents with Mahesh Sathiamoorthy - #731 1:01:25

2M ago1:01:25

1:01:25

Today, we're joined by Mahesh Sathiamoorthy, co-founder and CEO of Bespoke Labs, to discuss how reinforcement learning (RL) is reshaping the way we build custom agents on top of foundation models. Mahesh highlights the crucial role of data curation, evaluation, and error analysis in model performance, and explains why RL offers a more robust altern…

1
The Pipeline Is Stalling: America's Declining Innovation Edge 13:41

3M ago13:41

13:41

America's innovation pipeline stands at a dangerous crossroads. Federal research funding has dropped 10% in real terms over the past decade, traditional public-private collaboration models are fragmenting, and barriers to international talent continue to rise. These challenges threaten the three-pillar foundation that has powered American technolog…

1
How OpenAI Builds AI Agents That Think and Act with Josh Tobin - #730 1:07:27

3M ago1:07:27

1:07:27

Today, we're joined by Josh Tobin, member of technical staff at OpenAI, to discuss the company’s approach to building AI agents. We cover OpenAI's three agentic offerings—Deep Research for comprehensive web research, Operator for website navigation, and Codex CLI for local code execution. We explore OpenAI’s shift from simple LLM workflows to reaso…

1
Beyond the Edge - Analyst Insights at AUSTIN 2025 59:38

3M ago59:38

59:38

What happens when four tech industry veterans sit down to dissect the future of Edge AI? A no-holds-barred conversation that cuts through the hype and delivers actionable insights for anyone working in this rapidly evolving field. The panelists tackle the burning question head-on: How can Edge AI avoid becoming the "box of cables in your garage" th…

1
CTIBench: Evaluating LLMs in Cyber Threat Intelligence with Nidhi Rastogi - #729 56:18

3M ago56:18

56:18

Today, we're joined by Nidhi Rastogi, assistant professor at Rochester Institute of Technology to discuss Cyber Threat Intelligence (CTI), focusing on her recent project CTIBench—a benchmark for evaluating LLMs on real-world CTI tasks. Nidhi explains the evolution of AI in cybersecurity, from rule-based systems to LLMs that accelerate analysis by p…

1
Dan Cooley of Silicon Labs - The 30 Billion Dollar Question: Can AI Truly Live on the Edge? 23:59

3M ago23:59

23:59

Imagine a world where your smart glasses don't just identify objects but tell stories about what they see—all while running on a tiny battery without heating up. This cutting-edge vision is becoming reality as semiconductor companies tackle the monumental challenge of bringing generative AI capabilities from massive cloud data centers down to micro…

1
Generative Benchmarking with Kelly Hong - #728 54:17

3M ago54:17

54:17

In this episode, Kelly Hong, a researcher at Chroma, joins us to discuss "Generative Benchmarking," a novel approach to evaluating retrieval systems, like RAG applications, using synthetic data. Kelly explains how traditional benchmarks like MTEB fail to represent real-world query patterns and how embedding models that perform well on public benchm…

1
The Future of Domain-Specific AI Search Lies in Targeted Agent Systems 1:00:46

3M ago1:00:46

1:00:46

Imagine your edge device having the ability to search for exactly what you need, exactly when you need it, without hallucinations or irrelevant information. That's the promise of Snipe Search's agent orchestration system, presented by co-founder Wassim Kezai in this eye-opening EDGE AI TALKS session. Most organizations struggle when implementing RA…

1
Exploring the Biology of LLMs with Circuit Tracing with Emmanuel Ameisen - #727 1:34:06

3M ago1:34:06

1:34:06

In this episode, Emmanuel Ameisen, a research engineer at Anthropic, returns to discuss two recent papers: "Circuit Tracing: Revealing Language Model Computational Graphs" and "On the Biology of a Large Language Model." Emmanuel explains how his team developed mechanistic interpretability methods to understand the internal workings of Claude by rep…

1
Cleaning Our Oceans with Edge AI 58:47

4M ago58:47

58:47

The crisis of ocean plastic pollution demands innovative solutions, and Brad's team at Ozone Technologies is answering the call with cutting-edge AI technology. Their collaboration with The Ocean Cleanup has yielded a remarkable system that's transforming how we detect and map marine debris. At the heart of this solution is ADIS (Autonomous Debris …

1
Teaching LLMs to Self-Reflect with Reinforcement Learning with Maohao Shen - #726 51:45

4M ago51:45

51:45

Today, we're joined by Maohao Shen, PhD student at MIT to discuss his paper, “Satori: Reinforcement Learning with Chain-of-Action-Thought Enhances LLM Reasoning via Autoregressive Search.” We dig into how Satori leverages reinforcement learning to improve language model reasoning—enabling model self-reflection, self-correction, and exploration of a…

1
Smart Chips, Big Dreams: How NXP is Changing the AI Game 58:31

4M ago58:31

58:31

The artificial intelligence landscape is undergoing a fundamental shift – moving away from simply compressing cloud models to fit edge devices toward developing AI that's truly "born at the edge." Davis Sawyer, AI Product Marketing Manager at NXP Semiconductors, guides us through this transformation and reveals how NXP is revolutionizing the way in…

1
AI Video Forensic Validity – Hailo AI Ep 7 15:55

4M ago15:55

15:55

In this Edge AIsle episode, we dive into the rapidly evolving sphere of AI video forensics. As AI tools become ever more powerful, investigators face the challenge of sifting genuine data from AI-generated embellishments. Explore how AI-driven video enhancement is transforming the landscape of forensic evidence. Learn why distinguishing them is cri…

1
Waymo's Foundation Model for Autonomous Driving with Drago Anguelov - #725 1:09:07

4M ago1:09:07

1:09:07

Today, we're joined by Drago Anguelov, head of AI foundations at Waymo, for a deep dive into the role of foundation models in autonomous driving. Drago shares how Waymo is leveraging large-scale machine learning, including vision-language models and generative AI techniques to improve perception, planning, and simulation for its self-driving vehicl…

1
Counting What Counts: How Edge AI is Saving Japan's Seafood Industry 59:18

4M ago59:18

59:18

When SoftBank's team was approached by Japanese fishermen struggling with declining catches and inefficient practices, they knew technology could offer a solution. Their response: an innovative Edge AI system that transforms traditional aquaculture through sophisticated computer vision running directly on smartphones. Japan's fishing challenges are…

1
Dynamic Token Merging for Efficient Byte-level Language Models with Julie Kallini - #724 50:32

4M ago50:32

50:32

Today, we're joined by Julie Kallini, PhD student at Stanford University to discuss her recent papers, “MrT5: Dynamic Token Merging for Efficient Byte-level Language Models” and “Mission: Impossible Language Models.” For the MrT5 paper, we explore the importance and failings of tokenization in large language models—including inefficient compression…

1
Career EDGE: Navigating the Job Market in the Age of Edge AI 1:28:56

4M ago1:28:56

1:28:56

From 5V Tech and the EDGE AI FOUNDATION, unlock the potential of Edge AI and transform your career path with insights from leaders in the field. Join our engaging conversation featuring Luke Perrins from 5V, Gregory from Infineon Technologies, and Professor Eiman Kanjo from Nottingham Trent University, as we uncover how Edge AI is revolutionizing i…

1
Scaling Up Test-Time Compute with Latent Reasoning with Jonas Geiping - #723 58:38

4M ago58:38

58:38

Today, we're joined by Jonas Geiping, research group leader at Ellis Institute and the Max Planck Institute for Intelligent Systems to discuss his recent paper, “Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach.” This paper proposes a novel language model architecture which uses recurrent depth to enable “thinking in l…

1
Revolutionizing Wi-Fi Sensing with Machine Learning and Advanced Radio Frequency Techniques 13:24

5M ago13:24

13:24

What if the future of Wi-Fi could pinpoint your location down to 30 centimeters? Join us as Joseph Chueh from National Tsinghua University unveils the astonishing potential of Wi-Fi sensing when integrated with machine learning. Joseph brings his wealth of experience in semiconductor research and business development to the table, discussing the re…

1
Imagine while Reasoning in Space: Multimodal Visualization-of-Thought with Chengzu Li - #722 42:11

5M ago42:11

42:11

Today, we're joined by Chengzu Li, PhD student at the University of Cambridge to discuss his recent paper, “Imagine while Reasoning in Space: Multimodal Visualization-of-Thought.” We explore the motivations behind MVoT, its connection to prior work like TopViewRS, and its relation to cognitive science principles such as dual coding theory. We dig i…

1
Automotive Edge AI: From Sensors to Silicon – Hailo AI Ep 6 26:35

5M ago26:35

26:35

Join us on the Hailo AI Podcast for a deep dive into automotive edge intelligence. In this episode, we explore the challenges of scanning in modern locomotives and the silicon innovations that are reshaping automotive AI. We discuss market dynamics of AI in ADAS and automated driving, explore critical performance metrics like TOPS AI, and examine h…

1
From Ideas to Reality with Edge AI Expertise from embedUR and ModelNova 59:56

5M ago59:56

59:56

How can we revolutionize everyday objects into smarter, more responsive entities? Join us in this exciting episode as we explore the cutting-edge world of Edge AI, fresh from the vibrant showcases at CES 2025. We promise an in-depth look at the future of technology deployment with our special guests Eric and John from EmbedUR. With their extensive …

1
Inside s1: An o1-Style Reasoning Model That Cost Under $50 to Train with Niklas Muennighoff - #721 49:29

5M ago49:29

49:29

Today, we're joined by Niklas Muennighoff, a PhD student at Stanford University, to discuss his paper, “S1: Simple Test-Time Scaling.” We explore the motivations behind S1, as well as how it compares to OpenAI's O1 and DeepSeek's R1 models. We dig into the different approaches to test-time scaling, including parallel and sequential scaling, as well…

1
Reimagining Edge AI using Breakthrough Tools with Ali Ors of NXP 16:00

5M ago16:00

16:00

NXP Semiconductors is revolutionizing the integration of AI within embedded systems, focusing on enhanced tools and dedicated acceleration. Their latest innovations like the EIQ Software Stack and EIQ Time Series Studio are designed to streamline AI deployment, bridging the gap for developers transitioning into AI methodologies. • Overview of NXP’s…

1
Accelerating AI Training and Inference with AWS Trainium2 with Ron Diamant - #720 1:07:05

5M ago1:07:05

1:07:05

Today, we're joined by Ron Diamant, chief architect for Trainium at Amazon Web Services, to discuss hardware acceleration for generative AI and the design and role of the recently released Trainium2 chip. We explore the architectural differences between Trainium and GPUs, highlighting its systolic array-based compute design, and how it balances per…

1
Exploring Edge AI: Hailo’s Latest Innovations Ep 5 50:19

5M ago50:19

50:19

In this episode of the Hailo AI Podcast, we take you on a journey through the dynamic world of edge computing and AI. Learn how innovations in low-latency processing and on-device inference are setting new benchmarks in real-time analytics and decision making. Our conversation features insights on the different types of AI used at the edge—from per…

1
Revolutionizing AI Deployment with Open-Source Edge Technologies with Odin Chen of Arm 14:49

5M ago14:49

14:49

What if you could deploy AI solutions seamlessly across every platform with just a single stroke? Join us as we explore this intriguing possibility alongside our guest, Odin Chen of Arm, who brings a wealth of experience from his journey from Taiwan to Cambridge. Together, we embark on a journey through the vibrant landscape of Edge AI, tackling it…

1
π0: A Foundation Model for Robotics with Sergey Levine - #719 52:30

5M ago52:30

52:30

Today, we're joined by Sergey Levine, associate professor at UC Berkeley and co-founder of Physical Intelligence, to discuss π0 (pi-zero), a general-purpose robotic foundation model. We dig into the model architecture, which pairs a vision language model (VLM) with a diffusion-based action expert, and the model training "recipe," emphasizing the ro…

1
Revolutionizing Resource-Constrained Devices with Cutting-Edge HIMAX Edge AI Processors 16:41

5M ago16:41

16:41

Unlock the fascinating world of edge AI technology with insights from Karan Kapoor of Himax Technologies. Discover how Karan and his team are pioneering the development of ultra-low-power AI processors designed for resource-constrained devices. We'll explore their latest innovation, the WE2 processor, which optimizes the balance between model size,…

1
AI Trends 2025: AI Agents and Multi-Agent Systems with Victor Dibia - #718 1:44:59

6M ago1:44:59

1:44:59

Today we’re joined by Victor Dibia, principal research software engineer at Microsoft Research, to explore the key trends and advancements in AI agents and multi-agent systems shaping 2025 and beyond. In this episode, we discuss the unique abilities that set AI agents apart from traditional software systems–reasoning, acting, communicating, and ada…

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Machine Learning On Edge Devices Podcasts

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