Arm

Renesas Sets New MCU Performance Bar with 1-GHz RA8P1 Devices with AI Acceleration

Single- and Dual-Core MCUs Combine Arm Cortex-M85 and M33 Cores with Arm Ethos-U55 NPU to Deliver Superior AI Performance up to 256 GOPs Unprecedented 7300+ CoreMarks[1] with Dual Arm CPU cores TSMC 22ULL Process Delivers High Performance and Low Power Consumption Embedded MRAM with Faster Write Speeds and Higher Endurance and Retention Dedicated Peripherals Optimized […]

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Embedded Quest 2025: MCU Vendors Step up Edge AI Play

Edge AI was the primary focus of microcontroller vendors at the 2025 Embedded World Exhibition. We caught up with some industry executives for our annual Embedded Quest program, asking them about their take on Edge AI. As usual, the Embedded World Exhibition in Nuremberg, Germany, drew a large crowd of companies in the computing processor

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Automakers Can Launch AI-defined Vehicles a Full Year Sooner – Powered by Arm Zena CSS

News Highlights: Arm enables automakers to bring new vehicle models to market at least one year faster than traditional timelines Zena CSS accelerates software and silicon development, helping deliver AI capabilities faster and more efficiently Pre-verified, safety-capable platform saves an estimated 20% of engineering resources, reducing development cost and complexity Majority of OEMs will build

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Arm Drives Next-generation Performance for IoT with World’s First Armv9 Edge AI Platform

News highlights: World’s first Armv9 edge AI platform, optimized for IoT with the new Cortex-A320 CPU and Ethos-U85 NPU, enables on-device AI models over one billion parameters – earning support from industry leaders, including AWS, Siemens and Renesas. The ultra-efficient Arm Cortex-A320 leverages Armv9 to enhance efficiency, performance, and security in IoT markets, driving advancements

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Harnessing the Power of LLM Models on Arm CPUs for Edge Devices

This blog post was originally published at Digica’s website. It is reprinted here with the permission of Digica. In recent years, the field of machine learning has witnessed significant advancements, particularly with the development of Large Language Models (LLMs) and image generation models. Traditionally, these models have relied on powerful cloud-based infrastructures to deliver impressive

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Himax Demonstration of On-device AI with Innovative End-point Computer Vision

Alex Chang, Senior Product Manager for AIOT CIS Sensors and Processors at Himax, demonstrates the company’s latest edge AI and vision technologies and products in Arm’s booth at the 2024 Embedded Vision Summit. Specifically, Chang demonstrates his company’s WiseEye2 HX6538 deploying advanced CV models to endpoints. The WiseEye2 HX6538 integrates the Arm Cortex-M55 and Ethos-U55

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Renesas Demonstration of the RZ/V2H MPU for High Performance, Low Power AI Vision Applications

Brian Witzen, Principal Business Development Manager at Renesas Electronics, demonstrates the company’s latest edge AI and vision technologies and products in Arm’s booth at the 2024 Embedded Vision Summit. Specifically, Witzen demonstrates his company’s new RZ/V2H AI MPU. The RZ/V2H features multiple Arm Cortex cores, such as a quad-core Cortex-A55, dual-core Cortex-R8 and single Cortex-M33,

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Arm Demonstration of the Ethos-U85 AI Accelerator

Stephen Su, Senior Segment Marketing Manager at Arm, demonstrates the company’s latest edge AI and vision technologies and products at the 2024 Embedded Vision Summit. Specifically, Su demonstrates the company’s latest Ethos-U85 AI accelerator, which scales from 128 to 2048 MAC units and delivers up to 4 TOPs performance at 1 GHz clock speeds. The

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“How Arm’s Machine Learning Solution Enables Vision Transformers at the Edge,” a Presentation from Arm

Stephen Su, Senior Segment Marketing Manager at Arm, presents the “How Arm’s Machine Learning Solution Enables Vision Transformers at the Edge” tutorial at the May 2024 Embedded Vision Summit. AI at the edge has been transforming over the last few years, with newer use cases running more efficiently and securely. Most edge AI workloads were

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Arm CSS for Client: The Compute Platform for AI-powered Consumer Experiences

This blog post was originally published at Arm’s website. It is reprinted here with the permission of Arm. New Arm Compute Subsystems for Client deliver a step-change in performance, efficiency, and scalability, with production-ready physical implementations on the 3nm process. AI is transforming consumer devices, and revolutionizing productivity, creativity and entertainment-based experiences. This is leading

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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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