Software

Real-Time Vision-Language Inference on AMD Radeon™ iGPU Using ROCm™

This demonstration showcases a real-time vision-language inference pipeline running on an AMD Radeon™ integrated GPU, highlighting multimodal AI capabilities on power-efficient embedded platforms. The system processes live or recorded video streams and enables interactive question answering based on visual scene understanding. A lightweight Vision-Language Model (VLM) is deployed to jointly interpret visual inputs and natural […]

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From Silicon to Scale: How DEEPX Is Scaling Developer Support

When your chip is running inside 30 partner ecosystems across 8 countries, how you manage and deliver technical knowledge becomes as critical as the silicon itself. This blog post was originally published at Rapidflare’s website. It is reprinted here with the permission of Rapidflare.   DEEPX is one of the most technically credentialed companies in edge AI.

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AI Agents on AMD – Secure Agent Computing at the Edge

See how agentic AI workflows can use both local AMD hardware and cloud resources to improve privacy, performance, and cost efficiency. This demo showcases AI agents running with the AMD ROCm™ software platform. Private and data-sensitive tasks can remain on the local system, while more demanding workloads can be sent to cloud-based models when needed.

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In-cabin Voice Agent at the Edge: Redefining the Drive

This blog post was originally published at ENERZAi’s website. It is reprinted here with the permission of ENERZAi. Hyundai Motor Group recently introduced Gleo AI — a conversational voice AI agent — in the all-new Grandeur, marking the first time such a system has appeared in one of their production vehicles. Unlike traditional voice recognition, which only responds to fixed

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Microchip Advances Neural Network Implementation with VectorBlox 3.0 Accelerator SDK

Latest release leverages sparse neural networks to improve performance and enable more efficient edge AI on PolarFire® FPGAs and SoCs CHANDLER, Ariz., July 14, 2026 — Deploying AI inference in power‑constrained and mission‑critical environments such as aerospace and defense systems requires solutions that balance performance, efficiency, reliability and ease of development. To better manage these challenges,

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Beyond the Bench: The Hard Truth About Robotics Automation in Logistics with Pickle Robotics

This video was originally published by Peridio. It is reprinted here with the permission of Peridio. In this episode of Beyond the Bench from Peridio, Bill Brock sits down with Ari Eisenstein, co-founder and CTO of Pickle Robotics. They discuss the evolution of robotics and AI, focusing on Pickle’s innovative approach to logistics automation. Ari

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When the Edge Is 400 Kilometers Up: AI, Space, and the Limits of Cloud Computing

This blog post was originally published at Ambarella’s website. It is reprinted here with the permission of Ambarella. The orbital community has reached the same conclusions that the broader edge AI industry has been articulating for years: If moving the data is more expensive than moving the result, the processing belongs where the data was produced. The

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Pulling Back the Curtain on a Smarter, More Connected AI Future

At the 2026 Embedded Vision Summit, Boston AI CEO Peter Winston explores the latest advances shaping the future of AI. From intelligent agents to next-generation edge applications, he highlights how AI is evolving beyond task automation to become a more capable and collaborative partner within organizations. The video concludes with a look at emerging trends

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Insight Mirror: The mirror that sees you. The mirror that knows you. The mirror that talks back.

At the 2026 Embedded Vision Summit, Dan Daogaru shows an interactive, AI-aware smart mirror designed to redefine customer engagement. The Insight Mirror is not just a reflection; it is a fully integrated, intelligent AI companion capable of dynamic, voice-first conversations, open-vocabulary visual recognition, and presence-aware engagement. Built around a single high-performance C++20 application and fully

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HTEC White Paper Outlines the Convergence of Edge AI, Semiconductor Software, and Autonomous Systems

This content was originally published at HTEC’s website. It is reprinted here with the permission of HTEC. Physical AI at the Edge: Building the Full Stack for Real-World Deployment For years, AI progress was measured by model benchmark scores. The real test is different: does it work when deployed in a vehicle, a factory, a

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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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