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...
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...
The gap between science fiction and reality is closing rapidly. Remember when talking to computers was just a fantasy in movies? Raymond Lo's presentation on building chatbots with OpenVINO reveals how Intel is transforming ordinary PCs into extraordinary AI companions. Imagine generating a photorealistic teddy bear image in just eight seconds on your laptop's integrated GPU. Or having a natural conversation with a locally-running chatbot that doesn't need cloud connectivity. These scenarios...
Logic beats arithmetic in the machine learning revolution happening at Newcastle University. From a forgotten Soviet mathematician's work in the 1960s to modern embedded systems, Settle Machine represents a paradigm shift in how we approach artificial intelligence. Unlike traditional neural networks that rely on complex mathematical operations, Settle Machine harnesses Boolean logic - simple yes/no questions similar to how humans naturally think. This "white box" approach creates interpretab...
The AI revolution isn't just for tech giants with unlimited computing resources. Small and medium enterprises represent a crucial frontier for edge generative AI adoption, but they face unique challenges when implementing these technologies. This fascinating exploration takes us into an unexpected application: smart laboratory mouse cages enhanced with generative AI. Laboratory mice represent valuable assets in pharmaceutical research, with their welfare being a top priority. While fixed-fun...
Sony's revolutionary IMX500 stands at the forefront of a quiet revolution in edge computing and smart city technology. This isn't just another image sensor—it's the first to integrate AI processing directly on the chip, transforming how visual data becomes actionable intelligence while preserving privacy and minimizing infrastructure requirements. The power of this innovation lies in its elegant simplicity. Rather than sending complete images to cloud servers or external GPUs for processing,...
Revolutionizing edge computing just got easier. This eye-opening exploration of ST Microelectronics' ST-IoT Craft platform reveals how everyday developers can now harness the power of artificial general intelligence without writing a single line of code. The modern IoT landscape presents a paradox: billions of devices generate zettabytes of valuable data, yet transforming that raw information into intelligent systems remains frustratingly complex. ST's innovative low-code/no-code platform el...
Protecting valuable AI models from theft is becoming a critical concern as more computation moves to edge devices. This fascinating exploration reveals how sophisticated attackers can extract proprietary neural networks directly from hardware through side-channel attacks - not as theoretical possibilities, but as practical demonstrations on devices from major manufacturers including Nvidia, ARM, NXP, and Google's Coral TPUs. The speakers present a novel approach to safeguarding existing hard...
Beyond raw computational power lies the true measure of AI system effectiveness. Austin Lyons, founder of ChipStrat and analyst at Creative Strategies, challenges us to rethink how we evaluate Edge AI technologies in this thought-provoking talk on metrics that truly matter. For too long, the industry has obsessed over Trillion Operations Per Second (TOPs) as the gold standard measurement. Lyons expertly deconstructs this limited view, introducing us to a more nuanced framework that considers...
What if we could put powerful AI anywhere—from underwater cameras monitoring fish to the phone in your pocket? That's the vision driving AI Zip, a company building ultra-efficient AI models that can run on virtually any device. During this fascinating conversation, we explore how AI Zip is pioneering a different path in artificial intelligence by focusing on extreme compression and efficiency. While most companies pursue ever-larger models requiring massive cloud infrastructure, AI Zip is sh...
What happens when we redesign computing hardware to work more like the human brain? The results are transformative for edge AI. Sumit Kumar from Inatera takes us inside the world of neuromorphic computing – a revolutionary approach that's bringing brain-like intelligence directly to sensors. Born from research at Delft University of Technology, Inatera is tackling one of the most significant challenges in modern technology: how to perform complex AI tasks on battery-powered devices without d...
Smart cities face an impossible challenge - monitoring countless security cameras 24/7 with human operators alone. Edge Matrix is solving this problem with innovative AI technology that transforms how urban environments approach security and monitoring. Founded in 2019 as a Cloudian spin-off, Edge Matrix has developed sophisticated video AI solutions designed specifically for smart city applications. Their systems can continuously monitor multiple camera feeds, instantly detect anomalies, an...
The quest to create artificial intelligence as efficient as the human brain is one of computing's most fascinating challenges. While today's AI systems consume megawatts of power in massive data centers, your brain accomplishes far more complex tasks on roughly 20 watts—about the same as a dim light bulb. This efficiency gap is what FemtoSense is determined to close. In this illuminating conversation with Sam from FemtoSense, we dive into the journey of this Stanford spin-off that's revoluti...
What if everything we assumed about AI and data was wrong? In a world obsessed with collecting more and more sensor data, LightScline has discovered something remarkable: we might only need 10% of it. Drawing inspiration from the human brain's selective attention mechanism, LightScline co-founders Ankur and Ayush Goel have developed an approach that trains AI models to identify only the most information-rich portions of sensor data streams. The results are staggering—models requiring 400x fe...
From cloud dependency to edge autonomy – we explore the frontier of intelligent edge computing with TinkerBlocks co-founder Anoop. Imagine a world where your machines don't need to phone home to make decisions. That's the vision driving TinkerBlox, a startup founded by former Bosch Digital executives who saw firsthand how IoT implementations were hamstrung by excessive reliance on cloud processing. Their mission: bring intelligence to where the action happens – directly on devices at the edg...
The technological pendulum has swung dramatically over the last two decades. From desktop computing to cloud dominance and now back to the critical importance of edge devices, we're witnessing a renaissance in embedded systems. But this time, they're getting smart. Rajesh, founder of embedUR, takes us on a journey through this evolution, explaining how his company transformed from connectivity specialists to edge AI innovators. Founded in 2004 to accelerate embedded product development, Embe...
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 consider Edge AI. Unlike conventional approaches that process data at the device level, WeTech's innovation works within the microcontroller itse...
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 to sophisticated application processors. With nearly a decade in the AI space, NXP has developed a comprehensive approach that doesn't position edg...
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 platform and its growing role in the edge AI revolution. David takes us through Arduino's remarkable journey, sharing how a project named after an It...