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Edge AI and Vision Insights is our bi-weekly newsletter, delivering the latest technology, applications, markets, and trends in edge AI and vision right to your inbox. To receive Insights, please register via the “Subscribe to the Edge AI and Vision Insights Newsletter” section in the right column of this page.

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Most Recent Issues

Edge AI and Vision Insights: June 10, 2026

  LETTER FROM THE EDITOR Dear Colleague, This week’s featured presentations focus on practical ways to accelerate edge AI development—from choosing programmable FPGA-based accelerators and designing efficient computer vision systems for tightly constrained far-edge devices to using AI coding agents safely and effectively in real embedded development workflows. Efinix and Lattice Semiconductor examine hardware and model-design strategies for meeting demanding cost, power, latency, memory and I/O constraints. Ambarella and Boston.AI explore how AI-assisted software development can help teams build trustworthy edge systems and navigate major platform transitions such as OpenCV 5. But before we get to those topics, I want to alert you to an interesting event. Alliance partner KOTRA invites you to explore cutting-edge innovations at Physical AI Superconnect 2026 on June 24 in Mountain View, California. Engage with nearly 40 Korean companies showcasing component- and system-level advancements in manufacturing and service robots, autonomous driving and more. It’s a great opportunity to connect with innovative companies and new technologies. Learn more and register here. Erik Peters Director of Ecosystem and Community Engagement, Edge AI ...
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Edge AI and Vision Insights: May 27, 2026

  LETTER FROM THE EDITOR Dear Colleague, This month’s Embedded Vision Summit was a resounding success, with more than a thousand attendees learning from nearly a hundred presenters and hundreds of demos, as well as making valuable connections. 2026 Embedded Vision Summit presentation videos and slide decks will become available on the Edge AI and Vision Alliance website starting in the coming weeks. In case you haven’t yet heard, the 2027 Embedded Vision Summit will be a distinct part of SPIE Photonics West in San Francisco. See you at the 2027 Summit, February 2-4! Erik Peters Director of Ecosystem and Community Engagement, Edge AI and Vision Alliance BUILDING AND DEPLOYING REAL-WORLD ROBOTS BETTER VISUAL SIGNALS FROM SENSORS Face Super Resolution for Better Video Experiences Visidon explains how face super-resolution can improve video collaboration by making participants’ faces clearer, more consistent and more natural-looking, even when people are seated at different distances from a shared room camera. In wide-angle meeting-room setups, people farther from the camera occupy fewer pixels, which reduces visible facial detail and makes ...
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Edge AI and Vision Insights: April 29, 2026

  LETTER FROM THE EDITOR Dear Colleague, The Embedded Vision Summit is coming soon: May 11-13, Santa Clara, California. As a subscriber, you can use code 26EVSUM-NL for 10% off your pass when you register before May 10. The Summit is a fantastic opportunity to keep up with the latest trends in edge AI topics, such as…vision-language models. VLMs are advancing fast, but it’s not always clear where they add value. Many teams struggle to turn demos into dependable products. This year, the Summit will host a plenary panel session to cut through the hype and focus on where VLMs make sense and the barriers to deploying them in real systems. Moderated by Phil Lapsley, the panel will feature Rakshit Agrawal of Microsoft, Vaibhav Ghadiok of Hayden AI, David Selinger of Deep Sentinel and Tushar Sheth of Superfocus.ai. Learn more about the panel here Another fantastic resource is our incredible lineup of exhibitors and sponsors at the forefront of AI and computer vision. It’s a unique opportunity to explore the latest processors, cameras, algorithms, libraries ...
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Edge AI and Vision Insights: October 1, 2025

OPTIMIZING DEEP LEARNING MODEL EFFICIENCY Quantization Techniques for Efficient Deployment of Large Language Models: A Comprehensive Review The deployment of large language models (LLMs) in resource-constrained environments is challenging due

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Edge AI and Vision Insights: October 1, 2025

OPTIMIZING DEEP LEARNING MODEL EFFICIENCY Quantization Techniques for Efficient Deployment of Large Language Models: A Comprehensive Review The deployment of large language models (LLMs) in resource-constrained environments is challenging due

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