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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!
82 Episodes
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Ready to unlock the secrets behind real-time sensing algorithms for embedded devices? In this episode, you’ll gain valuable insights into transforming raw sensor data into actionable intelligence. We begin by breaking down the complexities of signal preprocessing, event triggering mechanisms, and feature extraction. Learn how event detection can drastically reduce false positives and computational overhead, setting the stage for robust and efficient real-time systems. Next, we delve into the...
Unlock the secrets to high-efficiency embedded computer vision with industry experts Sandeep Mistry from Arm and Alex Chang from Himax Technology. We promise insights into the TinyML community and the collaborative efforts that are setting new benchmarks in the field. Alex Chang shares an in-depth look at Himax Technology’s cutting-edge AI processors and always-on sensors designed for low-power, battery-operated devices. Learn how Himax’s dual-mode CMOS sensors are revolutionizing application...
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 clear guidance for builders. • survey highlights on generative AI as a mobility megatrend • definitions and examples of circular economy in vehicles • priority edge use cases in ADAS, safety, and infotainment • hidden value in predictive maintenance and...
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 story starts with a distributed team in Freiburg and Montreal and moves straight into the heart of the problem: most AI groups burn time on infrastructure and juggle separate stacks for training and inference, all while staying tethered to one dominant ...
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 devices themselves. From self‑driving safety and zero‑lag user experiences to battery‑friendly wearables, we map the forces reshaping how AI is built, deployed, and trusted. We start with the hard constraints: latency that breaks real‑time systems, the explo...
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. MemoryX has developed an architecture that defies conventional wisdom about AI acceleration. Unlike traditional systems dependent on memory buses and controllers, their solution features autonomous parallel cores with localized memory, eliminating bottlenecks and e...
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 data lakes and cloud hubs, and then this tiny little box at the bottom labeled 'sensors and gateways' - which means you've never actually done this in the real world, because that stuff is some of the hardest part." Atym tackles this challenge head-on...
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 locally—it represents a fundamental reimagining of how we interact with AI systems. In this fascinating exploration, Dell Technologies' Aruna Kolluru takes us deep into the world of edge-deployed AI agents that can perceive their surroundings, generate...
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 semiconductor technology enabling AI at the ultra-low power edge. The journey wasn't simple. Creating chips that could run sophisticated deep learning algorithms on tiny batteries proved more challenging than building data center processors. This demande...
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 revolutionizing edge AI with semiconductor technology that delivers unprecedented power efficiency for battery-constrained devices. The story begins in 2018 when Ali and his team set out to examine the entire computing stack from applications down to nanotechnolog...
"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 organizations rush to deploy AI workloads at the edge, a complex security landscape emerges that demands careful navigation. This fascinating panel discussion dives deep into the three major threat vectors organizations must prepare for: algorithmic attacks that m...
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 document processing powerhouses. Arniban from Wipro Limited unveils how visual language models (VLMs) like QN 2.5 VL and LayoutLMv3 are being deployed directly on edge devices rather than in the cloud. This breakthrough approach addresses critical data...
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 resources to fully harness large-scale generative AI, while the rest of humanity risks being left behind. Pau takes us through the sobering reality of today's AI landscape: hyperparameterized models requiring nuclear power plants for training, hundreds o...
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 protocol that could fundamentally transform how we interact with artificial intelligence. Drawing a fascinating parallel between computing history and our AI trajectory, Pradyumna explains how we've evolved from isolated large language models to action...
Stepping into a future where AI doesn't require the cloud, NXP is revolutionizing edge computing by bringing generative AI directly to microprocessors. Alberto Alvarez offers an illuminating journey through NXP's approach to private, secure, and efficient AI inference that operates entirely at the edge. The heart of NXP's innovation is their EAQ GenAI Flow, a comprehensive software pipeline designed for iMX SoCs that enables both fine-tuning and optimization of AI models. This dual capabilit...
The boundary between humans and computers is blurring as AI capabilities advance, creating opportunities for more natural, conversational interactions with our devices. Raymond Lowe from Intel takes us on a journey through the evolution of human-computer interaction, from simple mouse clicks to sophisticated chatbots that understand context, process images, and engage in meaningful dialogue. At the heart of this transformation is OpenVINO, Intel's toolkit for optimizing neural networks acros...
The growing gap between rapidly evolving AI models and lagging deployment frameworks creates a significant challenge for edge AI developers. Maurice Sersiff, CEO and co-founder of Germany-based Roofline AI, presents a compelling solution to this problem through innovative compiler technology designed to make edge AI deployment simple and efficient. At the heart of Roofline's approach is a retargetable AI compiler that acts as the bridge between any AI model and diverse hardware targets. Thei...
The future of AI isn't just in massive cloud servers—it's already sitting in your pocket. In this eye-opening presentation, Yeon-seok, CEO and co-founder of JTIC AI, reveals how his company is revolutionizing the AI landscape by tapping into the underutilized Mobile Processing Units (MPUs) that have been standard in smartphones since 2017. While tech giants pour billions into cloud infrastructure, JTIC AI has identified a critical opportunity: leveraging the powerful AI processors already in...
Memory bottlenecks, not computational limitations, are the true barrier holding back Edge AI. This revelation lies at the heart of Anaflash's revolutionary approach to intelligent edge computing – a breakthrough AI microcontroller with embedded flash memory that transforms how we think about power efficiency and cost in smart devices. The team has engineered a solution that addresses the two fundamental challenges facing Edge AI adoption: power efficiency and cost. Their microcontroller feat...
Ever wondered how the electric vehicles of tomorrow will squeeze every last drop of efficiency from their batteries? The answer lies at the fascinating intersection of artificial intelligence and motor control. The electrification revolution in automotive technology demands increasingly sophisticated control systems for permanent magnet synchronous motors - the beating heart of electric vehicle propulsion. These systems operate at mind-boggling speeds, with control loops closing every 50 mic...
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