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PODCAST

EDGE AI POD

EDGE AI FOUNDATION

Discover the cutting-edge world of energy-efficient machine learning, edge AI, hardware accelerators, software algorithms, and real-world use cases with this podcast feed from all things in the world"s largest EDGE AI community. These are shows like EDGE AI Talks, EDGE AI Blueprints as well as EDGE AI FOUNDATION event talks on a range of research, product and business topics. Join us to stay informed and inspired!

technology

All Episodes

26:47

Edge AI, Energy, And Autonomy

EDGE AI POD ·

2026/10/01

What if the next big jump in productivity isn’t a single breakthrough but a flywheel—AI that runs on the edge, energy systems that adapt in real time, and autonomy that safely acts in the physical world? Professor Winston Hsu of NPU in Taiwan brings academic perspective and industry experience together to map where the value actually lands over the next few years. We start by reframing AI’s progress through four waves—perception, language, scaling, and now longer-context reasoning—and explai...

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20:16

Why The Next Wave Of AI Lives At The Edge

EDGE AI POD ·

2026/09/24

AI’s center of gravity is moving—from monolithic cloud models to a living fabric that connects devices, senses the world, and infers on the spot. We walk through how agentic systems coordinate models across earbuds, phones, gateways, cars, and the cloud to deliver speed, privacy, and lower costs without sacrificing capability. We unpack the practical stack behind this shift: connect, sense, and infer. That means the right protocol for the job—Bluetooth, Wi‑Fi, UWB, Thread, Matter, or 5G—pair...

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42:35

Why Hardware, Software, And Developers Must Unite To...

EDGE AI POD ·

2026/09/17

The hype fades fast when your cloud bill spikes and your devices still lag. We sat down with leaders from Qualcomm, Renesas, Enerzai, Kudrat AI, and Advantech to trace how edge AI finally delivers real-world value—by uniting silicon, software, and developer experience into one coherent pipeline. From cost predictability to privacy and power, the economic and technical case for running models on-device has never been stronger. You’ll hear how chipmakers are acting like platform companies, pai...

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20:16

Your Earbuds Might Be Smarter Than Your Car - A talk...

EDGE AI POD ·

2026/09/10

Join Iri Trashanski, Chief Strategy Officer of Ceva, as we explore how intelligence is shifting into a distributed fabric where devices connect, sense, and infer in concert with the cloud. From phones and PCs to earbuds, cars, and medical wearables, we break down why latency, privacy, cost, and power are driving a new architecture—and how agentic AI coordinates models across endpoints to deliver seamless outcomes. We unpack the connect, sense, infer framework as a practical blueprint for pro...

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15:01

Cans, Defects, And Synthetic Vision

EDGE AI POD ·

2026/09/03

What if the best training data for your model never existed in the real world? We walk through a practical, high-stakes use case—defect detection on aluminum cans—and show how synthetic images, perfect annotations, and smart scene design can outperform slow, manual pipelines. First, we explain why traditional data collection and labeling bog down computer vision projects: rare defects are hard to capture, human annotations drift, and production lines can’t pause for staged photo shoots. Then...

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50:27

Bridging the Research-Reality Divide in Edge AI

EDGE AI POD ·

2026/08/27

Ever wondered why so many groundbreaking AI innovations never make it to market? The answer lies in the treacherous gap between research and reality – a challenge that's costing companies millions and delaying critical technologies from reaching consumers. This riveting panel discussion brings together seasoned experts from Intel, Wind River, Advantech, EmbedUR, and The Things Industries who've accumulated plenty of "scar tissue" trying to bridge this divide. Their conversation cuts through ...

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15:01

Synthetic Data For Smarter Vision

EDGE AI POD ·

2026/08/20

You shouldn’t need a warehouse full of broken products to build a reliable vision model. We dig into how synthetic data flips the script for manufacturing and quality control, showing why controlled scenes, perfect labels, and rapid iteration can outrun old pipelines of manual collection and error-prone annotation. With Sherry List and Goran from Synthetic AI Data, we walk through the strategy behind a no-code engine that empowers fusion teams—engineers, developers, and operators—to generate ...

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15:38

Cloud Can’t Keep Up, So Your Toaster Gets A Brain

EDGE AI POD ·

2026/08/13

The cloud can’t carry the weight of billions of sensors forever, and we’re proving why. We walk through a new class of ultra‑low‑power, heterogeneous neuromorphic microcontrollers that bring real intelligence to the edge, where timing, latency, and privacy matter most. From raw IMU streams to on‑device actions, you’ll hear how spiking neural networks, tiny CNNs, and a RISC‑V core team up to decode the world in real time without draining a battery. We dig into the full signal path: encoding a...

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17:57

Edge AI That Cuts Chemical Waste

EDGE AI POD ·

2026/08/06

What if a lab test that takes 12 to 24 hours could be replaced by a live estimate that guides dosing in real time? We walk through a high-stakes water story where boron control in desalination demanded more than a clever model—it needed a secure, local-first AI system that works across wildly different plants. Our journey with Acciona started with a simple idea: a virtual sensor to predict boron and avoid overusing caustic soda or risking fines. The reality was messy. Membranes, sensors, and...

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42:47

The Skinny Transformer: Squeezing Gen AI into Tiny...

EDGE AI POD ·

2026/07/30

The future of artificial intelligence isn't just in massive cloud data centers—it's happening right now on the devices all around us. This insightful panel discussion brings together leading experts from major semiconductor companies and academia to explore how Generative AI is transforming edge computing. What makes this conversation particularly valuable is the panelists' emphasis on practical reality versus future potential. While many assume GenAI requires enormous computing resources, t...

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12:55

How Microsecond AI Control Transforms Power Systems...

EDGE AI POD ·

2026/07/23

What if the control loop could think ahead and correct itself before errors take hold? We dive into a practical leap for motors, inverters, and energy storage: ultra-low-latency edge AI that predicts error trajectories at startup and intervenes inside the loop in about 100 microseconds. Instead of piling on sensors and pushing raw signals to the cloud, we work directly from existing operational data, chart the most efficient path, and act locally—then pass only meaningful transients upstream ...

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28:44

Edge of Tomorrow: How NXP is Revolutionizing...

EDGE AI POD ·

2026/07/16

The AI landscape is transforming rapidly, and NXP Semiconductors is at the forefront of bringing these capabilities where they matter most—directly to edge devices. Alberto Alvarez delivers a compelling overview of how NXP is enabling sophisticated generative AI to run locally on microprocessors, without relying on cloud connectivity. Unlike companies focused on massive cloud-based AI training, NXP targets the critical deployment phase, where privacy, security, and efficiency are paramount. ...

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13:53

Hardware-Aware AI, Not Just Bigger Models

EDGE AI POD ·

2026/07/09

What if the obstacle to fast, reliable AI isn’t your dataset or your optimizer—but the silicon under your model? We dig into why performance collapses when architecture and hardware don’t align, and we lay out a clear path to ship models that actually fly on the devices your users own. Starting with the Ferrari-and-hummingbird metaphor, we show how theoretical efficiency—FLOPs, parameters, even TOPS—often fails to predict real-world latency, power, and user experience. We walk through a surp...

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15:24

What If A Pair Of Glasses Could Read Intent?

EDGE AI POD ·

2026/07/02

Imagine steering a game with nothing but a blink and a glance. That’s the spark behind our latest build: a noninvasive brain-computer interface that runs entirely on a tiny edge microcontroller, translating eye movements into reliable, real-time commands without a laptop or cloud. We start with the human why. Millions live with neurological conditions that constrain movement but preserve eye control—a narrow channel with huge potential. We compare the promises and trade-offs of invasive BCIs...

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9:44

Got Fake Chips? Our AI Doesn't Fall For That

EDGE AI POD ·

2026/06/25

Semiconductor counterfeiting has grown into a $200 billion annual problem threatening the integrity of global electronics supply chains. As both chip shortages and sophisticated counterfeiting techniques persist, traditional detection methods fall short—requiring complex setups, hardware modifications, or extensive data labeling. Two machine learning engineers from Analog Devices' advanced R&D team unveil their elegant solution: an unsupervised learning approach that captures the unique ...

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11:44

Smarter AI, Faster Hardware

EDGE AI POD ·

2026/06/18

Your phone, watch, and even your fridge want real-time intelligence—but power and latency won’t tolerate bloated models or generic compute. We walk through a practical path from Python to custom hardware using high-level synthesis, then invite you to prove it in our Efficient Inferencing Hackathon. With a ready-to-run RISC‑V Rocket Core baseline for MNIST, a full Siemens EDA toolchain, and on-demand training, you’ll learn how to cut latency and power while protecting accuracy through precisio...

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61:00

Village OS: AI For Sustainable Living

EDGE AI POD ·

2026/06/11

What if a neighborhood could think, heal, and feed itself? We sit down with James Ehrlich of Stanford to unpack Village OS, a generative AI platform that designs resilient communities by starting with a simple question: what does the land want? From the urban edge of Riyadh to peri-urban sites worldwide, James shows how geospatial data, climate histories, hydrology, and cultural patterns come together to shape housing, farms, energy, and mobility as one living system. We trace James’s path f...

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14:47

When Edge AI Meets Hearing Loss, Access Gets Real

EDGE AI POD ·

2026/06/04

Crowded cafés, clinking plates, and echoey halls make conversations exhausting. We set out to change that by fitting real deep learning into an ear-sized device and proving it can separate speech from noise with almost no delay or battery hit. The result isn’t louder sound; it’s clearer lives and less fatigue. We walk through the full Clara enhancement path: transforming raw mic input into log-mel features, stabilizing for gain shifts, and feeding a 40-layer temporal convolutional recurrent ...

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22:29

Cows Chewed Our Sensors And Still Taught Us About...

EDGE AI POD ·

2026/05/28

A failed 5G rollout in a legendary forest forced us to rethink everything we knew about AI infrastructure. Instead of pushing data to distant servers, we turned wearables, sensors, and tiny controllers into a cooperative network that can sense, decide, and act without the cloud. The result is a hands-on tour of decentralized AI: how to split models across devices, why feature fusion matters more than raw horsepower, and what it takes to make ad hoc networks reliable in the wild. We walk thro...

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16:59

How AI Compensates for PID Controller Limitations in...

EDGE AI POD ·

2026/05/21

How can artificial intelligence transform electric vehicle performance? Discover the groundbreaking application of neural networks to motor control challenges that even Formula 1 legend Michael Schumacher helped identify. The automotive industry's electrification demands increasingly sophisticated silicon solutions, particularly for traction inverters controlling electric motors. Traditional control systems face a fundamental challenge: they must operate at extraordinary speeds (currently 20...

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116 results

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