Processors

Nextchip Demonstration of a High Definition Analog Video Solution Using STELLA5

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Jonathan Lee, Manager of the Global Strategy Team at Nextchip, demonstrates the company’s latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Lee demonstrates a high definition analog video solution using his company’s STELLA5 module. Lee showcases how Nextchip’s proprietary AHD (Analog HD) technology offers a more cost-efficient and […]

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SiMa.ai and Macnica TecStar Company Announce Strategic Distribution Agreement to Accelerate Physical AI Adoption in Japan

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SAN JOSE, Calif. and YOKOHAMA, Japan, July 29, 2025 /PRNewswire/ — SiMa.ai, the machine learning company delivering the industry’s first purpose-built software-centric MLSoC™ platform for the embedded edge, today announced a distribution partnership with Macnica, Inc. TecStar Company, one of Japan’s leading technology solutions providers. The partnership will accelerate adoption of SiMa.ai’s high-performance, low-power physical

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Renesas Introduces 64-bit RZ/G3E MPU for High-performance HMI Systems Requiring AI Acceleration and Edge Computing

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MPU Integrates a Quad-Core CPU, an NPU, High-Speed Connectivity and Advanced Graphics to Power Next-Generation HMI Devices with Full HD Display TOKYO, Japan, July 29, 2025 ― Renesas Electronics Corporation (TSE:6723), a premier supplier of advanced semiconductor solutions, today announced the launch of its new 64-bit RZ/G3E microprocessor (MPU), a general-purpose device optimized for high-performance Human Machine

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How to Run Coding Assistants for Free on RTX AI PCs and Workstations

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This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. AI-powered copilots deliver real-time assistance for projects from academic projects to production code — and are optimized for RTX AI PCs. Coding assistants or copilots — AI-powered assistants that can suggest, explain and debug code — are

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Nextchip Demonstration of Various Computing Applications Using the Company’s ADAS SoC

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Jonathan Lee, Manager of the Global Strategy Team at Nextchip, demonstrates the company’s latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Lee demonstrates various computing applications using his company’s ADAS SoC. Lee showcases how Nextchip’s ADAS SoC can be used for applications such as: Sensor fusion of iToF

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Microchip Technology Demonstration of Real-time Object and Facial Recognition with Edge AI Platforms

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Swapna Guramani, Applications Engineer for Microchip Technology, demonstrates the company’s latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Guramani demonstrates her company’s latest AI/ML capabilities in action: real-time object recognition using the SAMA7G54 32-bit MPU running Edge Impulse’s FOMO model, and facial recognition powered by TensorFlow Lite’s Mobile

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Microchip Technology Demonstration of AI-powered Face ID on the Polarfire SoC FPGA Using the Vectorblox SDK

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Avery Williams, Channel Marketing Manager for Microchip Technology, demonstrates the company’s latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Williams demonstrates ultra-efficient AI-powered facial recognition on Microchip’s PolarFire SoC FPGA using the VectorBlox Accelerator SDK. Pre-trained neural networks are quantized to INT8 and compiled to run directly on

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Chips&Media Demonstration of Its WAVE-N NPU In High-quality, High-resolution Imaging Applications

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Andy Lee, Vice President of U.S. Marketing at Chips&Media, demonstrates the company’s latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Lee demonstrates example high-quality, high-resolution imaging applications in edge devices implemented using WAVE-N, his company’s custom NPU. Key notes: Extreme efficiency, up to 90% of MAC utilization, for

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How to Think About Large Language Models on the Edge

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This blog post was originally published at BrainChip’s website. It is reprinted here with the permission of BrainChip. ChatGPT was released to the public on November 30th, 2022, and the world – at least, the connected world – has not been the same since. Surprisingly, almost three years later, despite massive adoption, we do not

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Chips&Media Introduction to Its WAVE-N Specialized Video Processing NPU IP

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Andy Lee, Vice President of U.S. Marketing at Chips&Media, demonstrates the company’s latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Lee introduces WAVE-N, his company’s specialized video processing NPU IP. Key notes: Extreme efficiency, up to 90% of MAC utilization, for modern CNN computation Highly optimized for real-time

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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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