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“COOL: Accelerating Computer Vision Workloads with Cloud Optimized OpenCV on AWS,” a Presentation from OpenCV.org, Amazon Web Services

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 […]

“COOL: Accelerating Computer Vision Workloads with Cloud Optimized OpenCV on AWS,” a Presentation from OpenCV.org, Amazon Web Services Read More +

Edge AI and Vision Insights: June 24, 2026

  LETTER FROM THE EDITOR Dear Colleague, This week we’re highlighting practical ways engineering teams are tackling some of the hardest problems in deploying edge AI and vision systems: getting models to work reliably in the real world, modernizing vision software for new hardware and model architectures, and scaling physical AI beyond the prototype stage.

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AI Goes Horizontal—Analog Goes Deep

This blog post was originally published at Renesas’ website. It is reprinted here with the permission of Renesas. An AI-driven gadget that acts on a drifting signal doesn’t know it’s wrong. It just acts—confidently, precisely, and in the wrong direction. Confidence without accuracy isn’t intelligence. It’s a liability. The gap between what a system is told

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Free Webinar On Always-On Edge Perception via Near-memory Compute

Update: This Webinar has been rescheduled for September 22 at the same time. It was originally scheduled for September 24, 2026. On September 22, 2026 at 9 am PT (noon ET), Petronel Bigioi, CEO at FotoNation, will present the free hour webinar “Always-On Edge Perception Via a Heterogeneous Near-Memory AI Architecture,” organized by the Edge

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Free Webinar On Qualcomm Accessible Computer Vision (QACV)

On September 10, 2026 at 9 am PT (noon ET), Derrick Chang, Senior Product Manager at Qualcomm Technologies, Inc., will present the free hour webinar “How Qualcomm Is Making Computer Vision Accessible Across Edge Verticals,” organized by the Edge AI and Vision Alliance. Here’s the description, from the event registration page: Computer vision at the

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“No RISC, No Reward: Unlocking Extreme Efficiency in Physical AI with RISC-V,” a Presentation from MIPS, a GlobalFoundries company

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

“No RISC, No Reward: Unlocking Extreme Efficiency in Physical AI with RISC-V,” a Presentation from MIPS, a GlobalFoundries company Read More +

Edge AI Optimization: Why Performance at the Edge Is Harder Than It Looks.

There’s a significant gap between running an AI model on a server and deploying it effectively to constrained edge hardware in the field. A look at the optimization challenges most teams underestimate.   This blog post was originally published at Geisel Software’s website. It is reprinted here with the permission of Geisel Software. Edge AI is

Edge AI Optimization: Why Performance at the Edge Is Harder Than It Looks. Read More +

“Always-On Edge Perception Via a Heterogeneous Near-Memory AI Architecture,” a Presentation from FotoNation

Petronel Bigioi, CEO at FotoNation presents “Always-On Edge Perception Via a Heterogeneous Near-Memory AI Architecture” at the May 2026 Embedded Vision Summit. Always-on perception is becoming a defining capability of next-generation edge devices, from AR glasses and hearables to battery-operated sensors. Yet continuous audio/video and motion understanding runs into two… “Always-On Edge Perception Via a

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Thermal-Aware Testing Strategies for Next-Gen Semiconductor Devices

This blog post was originally published at Tessolve’s website. It is reprinted here with the permission of Tessolve. As semiconductor devices continue to scale down in size and ramp up in performance, one challenge stands out above many others: thermal behavior. Heat isn’t just a byproduct of activity in modern chips; it’s one of the pivotal

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“From Compute-Bound to Memory-Bound: Edge AI Architectures for VLMs,” a Presentation from Expedera

Athish Rahul Rao, Staff Software Engineer at Expedera presents “From Compute-Bound to Memory-Bound: Edge AI Architectures for VLMs” at the May 2026 Embedded Vision Summit. Today’s edge AI hardware was built for CNNs, but vision language models (VLMs) have completely different bottlenecks—especially in safety-critical, latency-sensitive applications like in-cabin automotive intelligence.… “From Compute-Bound to Memory-Bound: Edge

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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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Walnut Creek, CA 94596

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