Resources
In-depth information about the edge AI and vision applications, technologies, products, markets and trends.
The content in this section of the website comes from Edge AI and Vision Alliance members and other industry luminaries.
All Resources
“Accelerating Physical AI with ROCm: High-Performance ML on AMD Embedded iGPUs,” a Presentation from AMD
Alok Gupta, Senior Technical Marketing Manager at AMD presents “Accelerating Physical AI with ROCm: High-Performance ML on AMD Embedded iGPUs” at the May 2026 Embedded Vision Summit. Discover how AMD’s ROCm software stack unlocks data
The Software Gap Holding AI Back: What Semiconductor Leaders Can Learn From the EV Transition
This blog post was originally published at HTEC’s website. It is reprinted here with the permission of HTEC. The story of EV adoption contains a warning that semiconductor companies would be wise to take seriously. When the automotive
Intel Core Ultra Series 3: The New Standard for Edge AI Robotics Compute
By integrating a CPU, GPU, and NPU, Intel Core Ultra Series 3 delivers edge AI power across global use cases—from hospitality and manufacturing to healthcare and education. At 2 a.m., an emergency room nurse orders
“Edge-First Coding Agents: Trustworthy Agentic Development for Real Devices,” a Presentation from Ambarella
Pietro Antonio Cicalese, Senior Technical Marketing Engineer at Ambarella, presents “Edge-First Coding Agents: Trustworthy Agentic Development for Real Devices” at the May 2026 Embedded Vision Summit. Coding agents are usually built as cloud-first abstractions. But
Scaling Edge AI for the Enterprise: Building the Ultimate Multi-Model, Multi-Stream Security System
This blog post was originally published at Axelera AI’s website. It is reprinted here with the permission of Axelera AI. At a Glance The Achievement: Real-time AI person-of-interest (POI) identification and threat detection across multiple 8K
How to Install OpenClaw and Hermes Agent on Qualcomm Arduino Boards, Rubik Pi 3 and Snapdragon PCs
This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. A Step-by-Step Guide with Arduino UNO Q, Rubik Pi 3, and PCs with Snapdragon Introduction Welcome,
Improving CMOS Performance at Night
How Ubicept Photon Fusion enhances conventional sensors for automotive use This blog post was originally published at Ubicept’s website. It is reprinted here with the permission of Ubicept. We’re back with another demo! Previously,
AMD’s Embedded Computing Summit Comes to London and Eindhoven
On June 16, 2026 in London, and on June 18, 2026 in Eindhoven, the AMD “Embedded Computing Summit Global Technical Tour” comes to Europe. From the event page: Where Embedded Innocation Meets Technical Depth The
ModelCat Selected for 2026 Amazon Devices Climate Tech Accelerator
Company will collaborate with Amazon and Plug and Play Tech Center to evaluate edge AI deployment pathways that can help reduce device energy consumption and carbon impact Sunnyvale, California — May 20, 2026 — ModelCat
Technologies
Macnica Americas Becomes Authorized Distributor for NAMUGA Vision Connectivity
New relationship brings NAMUGA’s advanced camera modules and 3D sensing technologies to customers developing next-generation intelligent systems Solana Beach, California — June 1, 2026 — Macnica Americas announced that it is now an authorized distributor for NAMUGA Vision Connectivity, expanding access to NAMUGA’s advanced camera modules and 3D sensing technologies for developers of intelligent
“Roads to Robots: How Generative AI Is Redefining Memory and Storage for Embodied AI,” a Presentation from Micron
Saideep Tiku, Principal System Architect at Micron presents “Roads to Robots: How Generative AI Is Redefining Memory and Storage for Embodied AI” at the May 2026 Embedded Vision Summit. Generative AI has accelerated the automation of complex digital tasks, and now multimodal perception and reasoning make embodied AI the next… “Roads to Robots: How Generative
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
Applications
“Roads to Robots: How Generative AI Is Redefining Memory and Storage for Embodied AI,” a Presentation from Micron
Saideep Tiku, Principal System Architect at Micron presents “Roads to Robots: How Generative AI Is Redefining Memory and Storage for Embodied AI” at the May 2026 Embedded Vision Summit. Generative AI has accelerated the automation of complex digital tasks, and now multimodal perception and reasoning make embodied AI the next… “Roads to Robots: How Generative
“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
Mentium Technologies’ Luna-R1 AI Chip Selected for ET-01 Constellation Mission, First Multi-Satellite Deployment of Mentium Hardware
Launching on SpaceX Transporter-17 to Enable Autonomous Intelligence Across LEO Satellite Networks Goleta, CA — May 28, 2026 — Mentium Technologies today announced that its next-generation AI processing chip, Luna-R1, has been selected for deployment on the ET-01 mission, a constellation of satellites operating in Low Earth Orbit (LEO). The constellation is being developed by EarthTraq, previously operating in
Functions
AI On: 3 Ways to Bring Agentic AI to Computer Vision Applications
This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Learn how to integrate vision language models into video analytics applications, from AI-powered search to fully automated video analysis. Today’s computer vision systems excel at identifying what happens in physical spaces and processes, but lack the abilities to explain the
SAM3: A New Era for Open‑Vocabulary Segmentation and Edge AI
Quality training data – especially segmented visual data – is a cornerstone of building robust vision models. Meta’s recently announced Segment Anything Model 3 (SAM3) arrives as a potential game-changer in this domain. SAM3 is a unified model that can detect, segment, and even track objects in images and videos using both text and visual
TLens vs VCM Autofocus Technology
This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. In this blog, we’ll walk you through how TLens technology differs from traditional VCM autofocus, how TLens combined with e-con Systems’ Tinte ISP enhances camera performance, key advantages of TLens over mechanical autofocus systems, and applications
