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“Democratizing Physical AI: Arduino’s Open Door to Qualcomm’s Platform,” a Presentation from Qualcomm Technologies, Inc.

Olivier Bloch, Director of Developer Relations at Qualcomm Technologies, Inc. presents “Democratizing Physical AI: Arduino’s Open Door to Qualcomm’s Platform” at the May 2026 Embedded Vision Summit. Scaling physical AI breaks at production: prototypes work, then teams rewrite everything for incompatible SDKs, models and control stacks. The core issue is… “Democratizing Physical AI: Arduino’s Open […]

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Why Multi-Robot Autonomous Mapping Is Becoming Essential for Large-Scale Facilities (Part 1)

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. For years, facility digitization has relied on a single, expensive robot slowly traversing every corridor of a warehouse, laboratory, or industrial plant. While effective, this approach is linear, which clashes with the fact that facilities are

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“Edge AI and Vision in Robotics: From Benchmarks to Fleet-Scale Reality,” an Expert Panel

Dave Tokic, Vice President of Corporate Development at Torc Robotics moderates the “Edge AI and Vision in Robotics: From Benchmarks to Fleet-Scale Reality” expert panel at the May 2026 Embedded Vision Summit. Other panelists include Vlad Branzoi, Perception Sensors Team Lead and Senior Staff Engineer at Agility Robotics, Bob Kunz,… “Edge AI and Vision in

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Chips&Media Licenses Its Latest-Generation Video CODEC IP to Ambarella, Strengthening Strategic Collaboration in Global Edge and Physical AI Markets

Key Takeaways: Following a rigorous technical evaluation, Chips&Media enters into a strategic license with Ambarella targeting Autonomous Driving, IoT, Industrial automation and Robotics sectors. The latest-generation architecture delivers 8K, optimizing Power, Performance, Bandwidth, and Area (PPBA) for next-generation vision solutions. (SEOUL, Korea – 6/10/2026 ) – Chips&Media (KOSDAQ: 094360), a leading global provider of video

Chips&Media Licenses Its Latest-Generation Video CODEC IP to Ambarella, Strengthening Strategic Collaboration in Global Edge and Physical AI Markets Read More +

“Enabling “GenAI Everywhere”: Flexible Model Compatibility and Insight-Driven Workflows,” a Presentation from Nota AI

Tae-Ho Kim, Co-Founder and CTO at Nota AI presents “Enabling “GenAI Everywhere”: Flexible Model Compatibility and Insight-Driven Workflows” at the May 2026 Embedded Vision Summit. As generative AI models rapidly evolve—with increasingly dynamic transformer architectures and diverse framework variations—the challenge of bringing these models to the edge has grown dramatically.… “Enabling “GenAI Everywhere”: Flexible Model

“Enabling “GenAI Everywhere”: Flexible Model Compatibility and Insight-Driven Workflows,” a Presentation from Nota AI Read More +

Four Generations of the Rapidflare Agent Harness – Spark, Flame, Blaze and Forge

How the Rapidflare agent harness has evolved across four generations — from a simple RAG pipeline in 2023 to a long-running, broader, deeper harness in 2026.   This blog post was originally published at Rapidflare’s website. It is reprinted here with the permission of Rapidflare.   Since the start of Rapidflare, we have shipped four distinct

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“Speeding Time to Market with Production-Ready Edge AI Solutions: From Wake Word Detection to Face Recognition,” a Presentation from Microchip Technology

Nick De Rosa, Kannan Srinivasagam, Edge AI Marketing Manager at Microchip Technology presents “Speeding Time to Market with Production-Ready Edge AI Solutions: From Wake Word Detection to Face Recognition” at the May 2026 Embedded Vision Summit. Design teams are moving from edge AI evaluation to deployment and need production-ready, system-level… “Speeding Time to Market with

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Running BitNet on Qualcomm Hexagon with custom 1.58 kernels

This blog post was originally published at ENERZAi’s website. It is reprinted here with the permission of ENERZAi. Today, we are excited to share a milestone that our team has been working toward for some time. ENERZAi has successfully deployed BitNet (b1.58) 2B on the Qualcomm QCS6490 Hexagon NPU via QNN! If that sentence felt

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“What We Learned Porting to OpenCV 5 with Claude Code,” a Presentation from Boston.AI

Mark Antonelli, CTO at Boston.AI presents “What We Learned Porting to OpenCV 5 with Claude Code” at the May 2026 Embedded Vision Summit. OpenCV 5 introduces significant architectural changes to improve vision performance and better utilize modern hardware. In addition to support for new features like vision-language models, there are… “What We Learned Porting to

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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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