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Free Webinar on Building Trustworthy Physical AI at the Edge

On September 2, 2026 at 9 am PT (noon ET), Muneyb Minhazuddin, Customer Growth Officer at Ambarella and Pietro Antonio Cicalese, Senior Technical Marketing Engineer at Ambarella, will present the free hour webinar “See, Think, Act, Learn: Building Trustworthy Physical AI at the Edge,” organized by the Edge AI and Vision Alliance. Here’s the description, from […]

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Breadth, Depth and Value: Arm Empowers Developers for the Agentic AI Era

This blog post was originally published at Arm’s website. It is reprinted here with the permission of Arm. Great hardware matters, but software is what helps unlock its full value. Arm’s DNA is hardware, and our sustained software investments help make that hardware easier to use, optimize, and scale. Since our inception, Arm has invested across the

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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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Run Ultralytics YOLO on Axelera AIPUs in Minutes

This blog post was originally published at Axelera AI’s website. It is reprinted here with the permission of Axelera AI. Trying new AI hardware typically means weeks of integration work before you can tell if the hardware is even worth it. There’s a new compiler, new runtime, and new preprocessing quirks. By the time you’ve ported

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Microchip Expands Developer Access with Free MPLAB® XC Compilers and MPLAB Machine Learning Development Suite

CHANDLER, Ariz., July 8, 2026 — Microchip Technology (Nasdaq: MCHP) has announced that its MPLAB® XC Pro Compilers and MPLAB Machine Learning (ML) Development Suite are now available at no cost to customers. By enabling unlimited installs across individual and team environments, these tools give developers free access to advanced optimization capabilities and integrated embedded machine learning workflows. “Our focus is on optimizing

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Upcoming Webinar on Agentic Smart City Systems

On July 29, 2026 at 10:00 am PT (1:00 pm ET), Intel will present the webinar “Agentic Smart City Systems: Real-Time Traffic Orchestration.” Here’s the description, from the event registration page: Beat congestion, save time, and route smarter in this hands-on, gamified workshop where Agentic AI meets Edge AI to power next-generation smart cities and

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Lattice FPGA Embedded Vision: Real-Time ISP Pipeline with Integrated Tuning Tool

Lattice Semiconductor demonstrates a complete end-to-end vision pipeline running entirely on an FPGA, from CSI camera input to screen output. Raw sensor data is processed by an on-chip ISP that converts it to a clean YUV 422 video stream in real time. The platform includes a dedicated ISP builder and tuning tool, allowing designers to

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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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Chips&Media Signs APV codec IP Licensing Deal with North American Big Tech, Establishing the ‘Second Front’ Against Apple’s ProRes

Key Takeaways: World’s first independent APV HW IP ‘WAVE-P’ confirmed for flagship devices of a major North American client Following the Samsung-Qualcomm alliance, Chips&Media and North American Big Tech solidify APV as the industry standard Targeting the professional video market with 8K 120fps high-quality recording and editing optimization Seoul, South Korea July 2, 2026 –

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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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Walnut Creek, CA 94596

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