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GSOC Solutions and Andes Technology Announce Strategic Partnership to Expand RISC-V CPU Options for Configurable SoC and Chiplet Platforms

Andes Technology, News, Processors /

SAN JOSE, Calif. – May 26, 2026 – GSOC Solutions, a premier ASIC development center located at Tel-Aviv, Israel, and Andes Technology (TWSE: 6533), a leading supplier of high-performance, low-power RISC-V processor cores, announced a strategic partnership. The collaboration will integrate Andes’ full range of RISC-V CPU IP into GSOC’s Ocean™ platform, a configurable SoC […]

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Vision Components at CVPR: VC EvoCam with Onboard Edge AI Processor and new MIPI Cameras with up to 24.5 Megapixels

News, Sensors and Cameras, Vision Components /

Ettlingen, May 29, 2026. Following its successful US premiere at the Embedded Vision Summit, Vision Components is set to showcase its all-in-one intelligent board-level camera VC EvoCam at the Conference on Computer Vision and Pattern Recognition (CVPR) from June 3 to 7, in Denver, Colorado. Measuring just 65 x 40 mm, this tiny smart camera

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“HiFi iQ: Enabling Voice AI and Immersive Audio for Smart Home, Mobile and Automotive,” a Presentation from Cadence

Cadence, Consumer, Edge AI and Vision Alliance, Processors, Summit 2026, Videos /

Amol Borkar, Group Director of Product Management and Marketing—Tensilica DSPs, Silicon Solutions Group (SSG) at Cadence presents “HiFi iQ: Enabling Voice AI and Immersive Audio for Smart Home, Mobile and Automotive” at the May 2026 Embedded Vision Summit. Voice is quickly becoming the primary interface for consumer and enterprise devices,… “HiFi iQ: Enabling Voice AI

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Why Vision LLMs Force A Rethink Of Edge AI Hardware

Algorithms & Models, Blog Posts, Expedera, Processors /

This blog post was originally published at Expedera’s website. It is reprinted here with the permission of Expedera. As vision-centric large language models move on-device, performance measured in raw TOPS is no longer enough. Architectures need to be built around real workloads, memory behavior, and sustained utilization, especially at the edge. Vision LLMs are changing

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From Sensors to Software: ADAS Market Accelerates Toward $66 Billion

News, Yole Group /

The transition toward software-defined ADAS platforms is reshaping supply chains, accelerating ecosystem transformation, and redefining industry leadership. Key Takeaways The ADAS market is set to grow to more than $66 billion by 2031, with value shifting from sensors to computing. Supply chain: China is emerging as the fastest-growing and most dynamic ADAS ecosystem, reshaping global

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“What We Learned Porting to OpenCV 5 with Claude Code,” a Presentation from Boston.AI

Algorithms & Models, Boston.AI, Edge AI and Vision Alliance, Summit 2026, Tools, Videos /

Mark Antonelli, CTO at Boston.AI presents “What We Learned Porting to OpenCV 5 with Claude Code” at the May 2026 Embedded Vision Summit. OpenCV 5 introduces significant architectural changes to improve vision performance and better utilize modern hardware. In addition to support for new features like vision-language models, there are… “What We Learned Porting to

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Gemma 4 on Arm: Accessible, Immediate, Optimized On-device AI to Accelerate the Mobile App Experience

Algorithms & Models, Arm, Blog Posts, Consumer, Processors /

Gemma 4 on Arm brings fast, privacy-preserving, power-efficient AI directly onto Android devices, helping developers deliver richer real-time app experiences to billions of users without relying on the cloud.   This blog post was originally published at Arm’s website. It is reprinted here with the permission of Arm. Real-time assistance, seamless communication, and greater personalization are now baseline expectations for billions of smartphone

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Building High-Performance Data Paths: New Evaluation Platforms for AI and Vision Systems

Microchip Technology, News, Processors, Sensors and Cameras /

Bringing AI and vision designs to life starts with reliable data movement. Learn how our latest evaluation kits help engineers prototype imaging and networking paths early, reduce design risk and move from concept to working system faster.   Microchip released two evaluation platforms designed to help developers prototype and benchmark data-intensive systems much earlier in

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“Accelerating Deep Learning Models on AMD Adaptive SoCs with the AMD Vitis AI Workflow,” a Presentation from AMD

AMD, Edge AI and Vision Alliance, Processors, Software, Summit 2026, Tools, Videos /

Thomas Zerbs, Technical Marketing Engineer, Adaptive and Embedded Computing Group at AMD presents “Accelerating Deep Learning Models on AMD Adaptive SoCs with the AMD Vitis AI Workflow” at the May 2026 Embedded Vision Summit. In this presentation, we provide a practical end-to-end overview of the AMD Vitis™ AI workflow for… “Accelerating Deep Learning Models on

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Samsung Foundry and Cadence: Accelerating Chiplet Solutions for Physical AI

Blog Posts, Cadence, Processors, Samsung Semiconductor /

This blog post was originally published at Samsung Semiconductor’s website. It is reprinted here with the permission of Samsung Semiconductor. Artificial Intelligence (AI) is rapidly expanding beyond digital environments and into the physical world. AI-driven systems that give machines the ability to perceive, comprehend, learn from, and respond to real-time environments are quickly moving from

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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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