What Does a GPU Have to Do With Automotive Security?

Automotive, Blog Posts, Imagination Technologies, Processors /

This blog post was originally published at Imagination Technologies’ website. It is reprinted here with the permission of Imagination Technologies. The automotive industry is undergoing the most significant transformation since the advent of electronics in cars. Vehicles are becoming software-defined, connected, AI-driven, and continuously updated. This evolution brings extraordinary new capability – but it also brings […]

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Ambarella to Showcase “The Ambarella Edge: From Agentic to Physical AI” at Embedded World 2026

Ambarella, News, Processors, Software, Tools /

Enabling developers to build, integrate, and deploy edge AI solutions at scale SANTA CLARA, Calif., — Ambarella, Inc. (NASDAQ: AMBA), an edge AI semiconductor company, today announced that it will exhibit at Embedded World 2026, taking place March 10-12 in Nuremberg, Germany. At the show, Ambarella’s theme, “The Ambarella Edge: From Agentic to Physical AI,”

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Vision Components unveils all-in-one VC EvoCam with MediaTek processor

News, Sensors and Cameras, Vision Components /

Ettlingen, February 18, 2026 — Vision Components is presenting the VCSBC EvoCam for the first time at embedded world, a new generation of all-in-one intelligent board-level cameras featuring the MediaTek Genio 510 processor. Measuring tiny 65 x 40 mm, the camera is equipped with all necessary components for image acquisition and image processing, making the

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Edge AI and Vision Insights: February 18, 2026

Edge AI and Vision Alliance, Newsletters /

  LETTER FROM THE EDITOR Dear Colleague, In this edition, we’ll cover an edge AI application domain that affects all of us: healthcare. Specifically, we’ll see how computer vision and agentic AI are performing real-time monitoring to transform our physical and mental health, and those of our elders, for example in detecting cognitive decline. We

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Pushing the Limits of HDR with Ubicept

Blog Posts, Sensors and Cameras, Ubicept /

This blog post was originally published at Ubicept’s website. It is reprinted here with the permission of Ubicept. Executive summary Ubicept’s SPAD-based system offers consistent HDR performance in nighttime driving conditions, preserving shadow and highlight detail where conventional cameras fall short. Unlike traditional HDR techniques which often struggle with motion artifacts, Ubicept Photon Fusion maintains

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e-con Systems Launches DepthVista Helix 3D CW iToF Camera for Robotics and Industrial Automation

e-con Systems, News, Sensors and Cameras /

California & Chennai (February 17, 2026): e-con Systems, a global leader in embedded vision solutions, launches DepthVista Helix 3D CW iToF Camera, a high-performance depth camera engineered to deliver reliable and accurate 3D perception for wide range of industrial robotics applications, including Autonomous Mobile Robots (AMRs), pick-and-place, bin-picking, palletization and depalletization robots, industrial safety and automation, and

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A Practical Guide to Recall, Precision, and NDCG

Algorithms & Models, Blog Posts, Rapidflare /

This blog post was originally published at Rapidflare’s website. It is reprinted here with the permission of Rapidflare. Introduction Retrieval-Augmented Generation (RAG) is revolutionizing how Large Language Models (LLMs) access and use information. By grounding models in domain specific data from authoritative sources, RAG systems deliver more accurate and context-aware answers. But a RAG system is

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Sony Pregius IMX264 vs. IMX568: A Detailed Sensor Comparison Guide

Blog Posts, e-con Systems, Sensors and Cameras, Sony Electronics /

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. The image sensor is an important component in defining the camera’s image quality. Many real-world applications pushed for smaller pixel sizes to increase resolution in compact form factors.  To address this demand, Sony has been improving

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What Happens When the Inspection AI Fails: Learning from Production Line Mistakes

Blog Posts, Industrial Vision (Computer Vision), Lincode /

This blog post was originally published at Lincode’s website. It is reprinted here with the permission of Lincode. Studies show that about 34% of manufacturing defects are missed because inspection systems make mistakes.[1] These numbers show a big problem—when the inspection AI misses something, even a tiny defect can spread across hundreds or thousands of products. One

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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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