Mauricio Greene of Bolom demonstrates real-time Sound Classification running on the Cadence Tensilica HiFi 5 DSP at the Embedded Vision Summit. Bolom Acoustic Intelligence edge models identify hundreds of distinct sound events and soundscape scenes – such as sirens, alarms, horns, traffic and more, fully on-device and without relying on the cloud. The Tensilica HiFi […]
Bolom Sound Classification on Cadence Tensilica HiFi 5 Read More +
At the 2026 Embedded Vision Summit, Boston AI CEO Peter Winston explores the latest advances shaping the future of AI. From intelligent agents to next-generation edge applications, he highlights how AI is evolving beyond task automation to become a more capable and collaborative partner within organizations. The video concludes with a look at emerging trends
Pulling Back the Curtain on a Smarter, More Connected AI Future Read More +
At the 2026 Embedded Vision Summit, Dan Daogaru shows an interactive, AI-aware smart mirror designed to redefine customer engagement. The Insight Mirror is not just a reflection; it is a fully integrated, intelligent AI companion capable of dynamic, voice-first conversations, open-vocabulary visual recognition, and presence-aware engagement. Built around a single high-performance C++20 application and fully
At the 2026 Embedded Vision Summit, Luis Dussan and Adrian Kaehler show their system fusing real-time camera and LIDAR data at the edge to deliver precise spatial awareness without heavy cloud dependency or large data backhaul. Using an intuitive user interface, operators can visualize environments, interact with live data, and leverage an integrated AI agent
ILLIUM AI Demonstrates AI Machine Vision with LIDAR Precision Read More +
Amir Sherman, Head of Global Business Development at Peridio presents “From Chips to Platforms: Scaling Edge AI with SoMs, Production Linux and Secure Life-Cycle Ops” at the May 2026 Embedded Vision Summit. Edge AI has moved beyond choosing a single chip or platform. Teams now face a harder question: how… “From Chips to Platforms: Scaling
Pete Warden, CEO at Moonshine AI presents “Building a Local Voice Agent on a Raspberry Pi” at the May 2026 Embedded Vision Summit. In this talk, Warden explains everything you need to know to build your own voice agent running entirely on a stock Raspberry Pi 5, with no internet… “Building a Local Voice Agent
“Building a Local Voice Agent on a Raspberry Pi,” a Presentation from Moonshine AI Read More +
Mike Leonard, Software Architect at Quadric presents “Porting and Optimizing Advanced Vision-Language-Action Models for Embedded Autonomous Systems” at the May 2026 Embedded Vision Summit. World-scale vision-language-action (VLA) models are the new frontier in AI for autonomous driving and robotics, enabling systems to perceive, reason and act in complex real-world environments.… “Porting and Optimizing Advanced Vision-Language-Action
Kwabena Agyeman, Joseph Nelson, President at OpenMV presents “How to Train an AI Model Using Roboflow and Deploy to an MCU with an NPU” at the May 2026 Embedded Vision Summit. Running computer vision on microcontrollers is becoming practical thanks to MCUs that integrate NPUs, enabling low-latency inference with tight… “How to Train an AI
Frantz Lohier, Satya Mallick, Senior WW Specialist—Advanced Computing, AI and Robotics at Amazon Web Services presents “COOL: Accelerating Computer Vision Workloads with Cloud Optimized OpenCV on AWS” at the May 2026 Embedded Vision Summit. As computer vision workloads grow in scale and complexity, developers need high-performance, cost-efficient infrastructure to keep… “COOL: Accelerating Computer Vision Workloads
Mayank Mangla, AI Product Manager and Systems Architect at MIPS, a GlobalFoundries company presents “No RISC, No Reward: Unlocking Extreme Efficiency in Physical AI with RISC-V” at the May 2026 Embedded Vision Summit. Deployment of neural networks at the edge is often constrained by the rigidity and integration cost of… “No RISC, No Reward: Unlocking
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