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Developing and Deploying Vision-based Multi-camera Solutions

This blog post was originally published at eInfochips’ website. It is reprinted here with the permission of eInfochips. Over the past several years, with strong advances in technology, Artificial Intelligence (AI) and Machine Learning (ML) capabilities have become available in highly compact chipsets. These chipsets have been adopted across vision solutions including low power wearable […]

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Synthetic Data is Revolutionizing Sensor Tech: Real Results from Virtual Worlds

This blog post was originally published at Geisel Software’s website. It is reprinted here with the permission of Geisel Software. Imagine you’re a developer on your first day at a new job. You’re handed a state-of-the-art sensor designed to capture data for an autonomous vehicle. The excitement quickly turns to anxiety as you realize the

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Microchip to Accelerate Real-time Edge AI with NVIDIA Holoscan

PolarFire® FPGA Ethernet Sensor Bridge provides low-power multi-sensor bridging to NVIDIA edge AI platforms CHANDLER, Ariz., November 14, 2024 — To enable developers building artificial intelligence (AI)-driven sensor processing systems, Microchip Technology (Nasdaq: MCHP) has released its PolarFire® FPGA Ethernet Sensor Bridge that works with the NVIDIA Holoscan sensor processing platform. PolarFire FPGAs enable multi-protocol

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Snapdragon Summit’s AI Highlights: A Look at the Future of On-device AI

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Qualcomm Technologies sets new standards in AI performance for its latest mobile, automotive and Qualcomm AI Hub advancements Our annual Snapdragon Summit wrapped up with exciting new announcements centered on the future of on-device artificial intelligence (AI).

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What are the Key Camera Features of Retail Kiosks?

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Retail kiosks, from self-checkout to interactive displays, rely on cameras to deliver seamless and efficient customer experiences. Discover how high-performance cameras can enhance security, streamline operations, and drive sales. Explore the latest advancements in camera

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Alliance Members at 2025 CES

The Edge AI and Vision Alliance 2025 CES Directory for game-changing computer vision and AI technologies Many Alliance Member companies will be showing off the latest building-block technologies that enable new capabilities for machines that see! CES is huge so we’ve created a handy checklist of these companies and where to find them including how

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The Building of the New FRAMOS Campus is Completed

Campus combines research & development, production, and supportive functions under one climate-positive umbrella. ÄŒakovec, Croatia / Munich, Germany – November 12th, 2024 – FRAMOS, the leading global expert in embedded vision, has completed its new campus building in ÄŒakovec, Croatia. The campus will increase FRAMOS’ production capacity and bring research & development, and administration closer

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Electrification and Autonomy: A Semiconductor Content Boost to $1,000 per Car by 2029

This market research report was originally published at the Yole Group’s website. It is reprinted here with the permission of the Yole Group. Automotive OEMs are moving upstream in the semiconductor supply chain with diverse strategies. OUTLINE The automotive semiconductor market is expecting a significant CAGR of 11% between 2023 and 2029 to almost $100

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FotoNation Completes a Hat-trick Management Buyout

Vision Technology Leader Reacquired by Company’s Original Founders GALWAY, Ireland, Nov. 12, 2024– FotoNation® (www.fotonation.com), a leading provider of ultra-low power, high-efficiency computer vision AI solutions, announced that its founders have completed a management buyout of the company’s chip-level hardware, firmware, and imaging business, acquiring the company for the third time. Petronel Bigioi, its current

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How to Accelerate Larger LLMs Locally on RTX With LM Studio

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. GPU offloading makes massive models accessible on local RTX AI PCs and workstations. Editor’s note: This post is part of the AI Decoded series, which demystifies AI by making the technology more accessible, and showcases new hardware,

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