Edge AI and Vision Alliance

“Vision-Language Models in Practice: Architecture and Performance,” a Presentation from AMD

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Rajy Rawther, PMTS Software Architect at AMD presents “Vision-Language Models in Practice: Architecture and Performance” at the May 2026 Embedded Vision Summit. Unimodal vision systems are powerful but limited when users need flexible queries, richer semantics or reasoning that combines images/video with language. Vision-language models (VLMs) address this gap by… “Vision-Language Models in Practice: Architecture […]

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“Small Language Models for Edge AI: Trade-Offs and Quantization in Practice,” a Presentation from AMD

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Dwith Chenna, MTS Product Engineer, AI Inference at AMD presents “Small Language Models for Edge AI: Trade-Offs and Quantization in Practice” at the May 2026 Embedded Vision Summit. Large language models are powerful but often impractical for embedded and on-prem systems due to latency, cost, privacy and memory constraints. Small… “Small Language Models for Edge

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Edge AI and Vision Insights: August 5, 2026

Edge AI and Vision Alliance, Newsletters /

  LETTER FROM THE EDITOR Dear Colleague, This week’s issue highlights an edge AI ecosystem advancing on every front—from new processors, cameras and firmware to software platforms and industry consolidation. We also explore deploying GenAI, implementing voice and multimodal workloads on device, and integrating cameras, radar and computing into automotive physical AI. With both the

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Edge AI and Vision Insights: July 22, 2026

Edge AI and Vision Alliance, Newsletters /

  LETTER FROM THE EDITOR Dear Colleague, Physical AI is moving quickly from concept to implementation, and this week’s issue looks at what it takes to make these systems work at the edge: guaranteed latency, efficient compute, robust perception and deployable software stacks. We’ll highlight technical presentations on RISC-V and embedded GPU architectures for physical

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“From YOLO to SAM: Segmentation Models on Real Edge Hardware,” a Presentation from Au-Zone Technologies

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Sébastien Taylor, VP of R & D at Au-Zone Technologies presents “From YOLO to SAM: Segmentation Models on Real Edge Hardware” at the May 2026 Embedded Vision Summit. Segmentation is fundamental to edge vision—from drivable surface detection to industrial inspection. But how do different approaches actually perform on resource-constrained hardware?… “From YOLO to SAM: Segmentation

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Edge AI and Vision Insights: July 8, 2026

Edge AI and Vision Alliance, Newsletters /

  LETTER FROM THE EDITOR Dear Colleague, This week we’re looking at how edge AI and vision development is becoming more productive, more scalable and more accessible across real-world applications. Two upcoming webinars explore important pieces of this evolution: using edge-first coding agents to accelerate development for real devices, and making computer vision easier to

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“From Chips to Platforms: Scaling Edge AI with SoMs, Production Linux and Secure Life-Cycle Ops,” a Presentation from Peridio

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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

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“Building a Local Voice Agent on a Raspberry Pi,” a Presentation from Moonshine AI

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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

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“Porting and Optimizing Advanced Vision-Language-Action Models for Embedded Autonomous Systems,” a Presentation from Quadric

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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

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“How to Train an AI Model Using Roboflow and Deploy to an MCU with an NPU,” a Presentation from OpenMV

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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

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Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.

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