EDGE AI POD
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!
Episodes
94 episodes
AI-Driven Brain-Computer Interface (BCI) Unlocking the Minds Potential
Imagine steering a game or selecting a letter with nothing but a blink or a glance. We set out to make that feel normal, not magical, by building a non-invasive brain–computer interface that runs entirely on a low-power microcontroller and fits...
An Embedded Transformer- base face recognition system in the STM32N6
What if transformer-level face recognition could run on a microcontroller without giving up speed or accuracy? We set out to make that real on the STM32N6 by pairing its neural processing unit with a hybrid model that blends convolutional effic...
Verification, Validation & Certification of AI in Safety-Critical Applications
A cyclist disappears to the model, not to your eyes—and that mismatch is the heart of safety-critical AI. We open with the “vanishing cyclist” to show how tiny, imperceptible perturbations can flip life-or-death decisions, then walk through a p...
Aptos: Creating ML models that fit your edge device like a glove
Shipping edge AI shouldn’t feel like a marathon through model zoos, missing ops, and latency ceilings. We lay out a practical path to get from your data and constraints to a hardware-ready model—measured on real boards—without the endless back-...
Neural-ART: ST’s New NPU Architecture at the Edge
What if the fastest path to efficient edge AI isn’t a bigger CPU, but a smarter stream of data? We pull back the curtain on NeuralArt—the flexible, stream‑based accelerator inside the STM32N6—and show how a decade of prototypes led us to rethin...
A Unified Neuromorphic Platform for Sparse, Low Power Computation
Sensors are flooding the edge with data while CPUs juggle denoising, formatting, and inference. We built ADA to flip that script: a Turing-complete neuromorphic processor that computes with time-encoded spikes, slashing power, latency, and memo...
From Fragments to Foundation: The Sound of Progress in Edge Audio AI
What if your printer didn’t just spit out pages, but actually understood them? We walk through a hands-on look at multimodal AI on the edge—how visual-language models read layouts, extract tables, translate content, and reformat documents right...
Empowering at the Edge: the "Arduino way" to AI
What if AI felt like a door you could open, not a wall you had to climb? We dig into how Arduino’s approach—accessibility first, power when you need it—turns the edge AI buzz into a concrete path you can follow, whether you’re a student with a ...
Faster Edge AI, Fewer Headaches
If you’ve ever shipped a model that flew in the cloud and crawled on a device, this conversation is a relief valve. We bring on Andreas from Embedl to unpack why edge AI breaks in the real world—unsupported ops, fragile conversion chains, misle...
TinyML Implementation for a Textile-Integrated Breath Rate Sensor
Clothes that quietly listen to your breath might be the missing link between hospital‑grade vigilance and everyday comfort. We walk through how our team built a textile‑integrated breath sensor that actually works in the wild—embroidered interc...
From Lab to Low-Power: Building EMASS, a Tiny AI Chip That Runs on Milliwatts
What if the only way to get real gains at the edge is to redesign everything—from the silicon atoms to the app you deploy? That’s the bet Professor-Founder Mohammed Ali made with EMAS, and the results are striking: continuous inference at milli...
What happens when AI learns from the fire hose—and tests itself on silicon
What if your model pipeline started with a simple goal—your dataset, your target chip, and your latency or energy budget—and ended with measured results on real hardware? We sit down with Model Cat CEO Evan Petritis to explore how AI can build ...
Survey Data Shows How AI Will Reshape Cars And Why It Belongs On The Edge
We share new data showing why drivers see generative AI as a defining force in mobility and how edge inference makes cars faster, safer, and more personal. We map the use cases, hardware shifts, and the move to software-first procurement with c...
What happens when you use AI to optimize AI and make AI models run fast anywhere?
Tired of choosing between performance and freedom? We sit down with Stefan Crossin, CEO and co‑founder of YASP, to unpack how a hardware‑aware AI compiler can speed up training, simplify deployment, and finally make model portability real. The ...
2026 and Beyond - The Edge AI Transformation
What if the smartest part of AI isn’t in the cloud at all—but right next to the sensor where data is born? We pull back the curtain on the rapid rise of edge AI and explain why speed, privacy, and resilience are pushing intelligence onto device...
Edge Computing Revolutionized: MemryX's New AI Accelerator
Ready to revolutionize your approach to edge AI? Keith Kressin, a veteran with 13 years at Qualcomm before joining MemoryX, shares a breakthrough technology that's transforming how AI operates in resource-constrained environments.Memory...
Atym and WASM is revolutionizing edge AI computing for resource-constrained devices.
Most conversations about edge computing gloss over the enormous challenge of actually deploying and managing software on constrained devices in the field. As Jason Shepherd, Atym's founder, puts it: "I've seen so many architecture diagrams with...
Honey, I Shrunk the LLMs: Edge-Deployed AI Agents
The landscape of artificial intelligence is experiencing a profound transformation, with AI capabilities moving from distant cloud servers directly to edge devices where your data lives. This pivotal shift isn't just about running small models ...
Ambient Scientific's Journey: From Personal Tragedy to Ultra-Low Power AI Innovation
When personal tragedy strikes, some find a way to transform pain into purpose. Such is the remarkable story behind Ambient Scientific, where founder GP Singh's mission to prevent falls after losing a family member evolved into groundbreaking se...
How EMASS is Revolutionizing Battery-Powered AI Applications
Power efficiency has become the new currency in AI, and no company exemplifies this shift better than EMAS. Founded by Professor Mohamed Ali as a spinoff from his groundbreaking research at NTU Singapore, this innovative startup is revolutioniz...
Beyond the Cloud: The Hidden Security Challenges of Edge AI
"Do you trust your AI models? Honestly, I don't trust them. We should not trust them." These powerful words from STMicroelectronics' Mounia Kharbouche perfectly capture the security challenge facing the edge AI world today.As organ...
Real World Deployment and Industry Applications
The humble printer - that device gathering dust in the corner of your office - is about to undergo a remarkable transformation. Thanks to advancements in generative AI, printers and scanners are evolving from passive endpoints into intelligent ...
Bridging the Digital Divide by Generative AI through the Edge
The technological revolution sparked by generative AI threatens to create the deepest digital divide we've ever seen. In this illuminating talk, Danilo Pau from STMicroelectronics reveals how only a handful of companies worldwide possess the re...
Networked AI Agents Decentralized Architecture
What happens when trillions of AI agents can discover, communicate, and collaborate across organizational boundaries? Pradyumna Shari from MIT Media Lab unveils NANDA (Networked AI Agents in a Decentralized Architecture), a groundbreaking open ...