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Microchip Technology

Microchip Expands PolarFire FPGA Smart Embedded Video Ecosystem with New SDI IP Cores and Quad CoaXPress Bridge Kit

Solution stacks deliver broadcast-quality video, SLVS-EC to CoaXPress bridging and ultra-low power operation for next-generation medical, industrial and robotic vision applications   CHANDLER, Ariz., January 19, 2025 —Microchip Technology (Nasdaq: MCHP) has expanded its PolarFire® FPGA smart embedded video ecosystem to support developers who need reliable, low-power, high-bandwidth video connectivity. The embedded vision solution stacks combine hardware evaluation kits, development

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News

Quadric, Inference Engine for On-Device AI Chips, Raises $30M Series C as Design Wins Accelerate Across Edge

Tripling product revenues, comprehensive developer tools, and scalable inference IP for vision and LLM workloads, position Quadric as the platform for on-device AI. BURLINGAME, Calif., Jan. 14, 2026 (PRNewswire) — Quadric®, the inference engine that powers on-device AI chips, today announced an oversubscribed $30 million Series C funding round, bringing total capital raised to $72

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Automotive

Quadric’s SDK Selected by TIER IV for AI Processing Evaluation and Optimization, Supporting Autoware Deployment in Next-Generation Autonomous Vehicles

Quadric today announced that TIER IV, Inc., of Japan has signed a license to use the Chimera AI processor SDK to evaluate and optimize future iterations of Autoware, open-source software for autonomous driving pioneered by TIER IV. Burlingame, CA, January 14, 2026 – Quadric today announced that TIER IV, Inc., of Japan has signed a

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Market Analysis

Automotive

AI Drives the Wheel: How Computing Power is Reshaping the Automotive Industry

This market research report was originally published at the Yole Group’s website. It is reprinted here with the permission of the Yole Group. In its new report, Automotive Computing and AI 2025, Yole Group analyzes the technological and market forces redefining vehicle intelligence, safety, and connectivity. The automotive industry is accelerating into a new era

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Market Analysis

Two-Phase Liquid Cooling: The Future of High-end GPUs

As of 2025, single-phase direct-to-chip (D2C) liquid cooling remains the dominant solution for high-end GPU thermal management. However, with thermal design power (TDP) continuing to rise, the industry is approaching the limits of what single-phase cooling can handle. Two-phase D2C cooling is expected to enter large-scale deployment around 2027. IDTechEx has conducted extensive interviews across

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Automotive

AI-enhanced In-cabin Sensing Systems

As the trend of vehicle intelligence enhancement rises, in-cabin sensing systems will be largely responsible for increased communication, sensitivity, and smart features within cars. IDTechEx‘s report, “In-Cabin Sensing 2025-2035: Technologies, Opportunities, and Markets“, provides the latest technology developments within the sector, along with forecasts for their uptake over the next ten years. Where AI meets

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Blog

Analog Devices

Faster Sensor Simulation for Robotics Training with Machine Learning Surrogates

This article was originally published at Analog Devices’ website. It is reprinted here with the permission of Analog Devices. Training robots in the physical world is slow, expensive, and difficult to scale. Roboticists developing AI policies depend on high quality data—especially for complex tasks like picking up flexible objects or navigating cluttered environments. These tasks rely

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Avassa

How Edge Computing In Retail Is Transforming the Shopping Experience

Forward-looking retailers are increasingly relying on an in-store combination of data collection through IoT devices with various types of sensors, AI for decisions and transactions on live data, and digital signage to communicate results and allow for interaction with customers and store associates. The applications built on this data- and AI-centric foundation range from more

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Blog Posts

Meet MIPS S8200: Real-Time, On-Device AI for the Physical World

This blog post was originally published at MIPS’s website. It is reprinted here with the permission of MIPS. Physical AI is the ability for machines to sense their environment, think locally, act safely, and communicate quickly without waiting on the cloud. In safety-critical scenarios like driver assistance or industrial robotics, milliseconds matter. That’s why MIPS’

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