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Arm Cortex-M55 and Ethos-U55 Processors: Extending the Performance of Arm's ML Portfolio for Endpoint Devices

community.arm.com, Feb. 10, 2020 – 

The advent of artificial intelligence (AI) is creating a wealth of opportunities ranging from better user experiences with consumer products to automated quality control on factory floors – and this list of AI-driven use-cases is growing exponentially. The performance capabilities driving these devices are underpinned by innovative signal processing and machine learning (ML) techniques. But the challenge is: how should a system architect go about supporting such techniques in System on Chip (SoC) designs?

Furthermore, IoT and embedded applications that are limited by power, cost and size do not need as much computational performance as computational efficiency. This means that the chosen SoC architecture needs to closely map to the overall requirements of the target application, minimizing silicon area and device cost. This poses a challenge for silicon designers aiming to differentiate their microcontroller with the greatest level of intelligence possible.

Expanding Arm's compute technologies for endpoint AI

This was the context that drove the development of the Arm Cortex-M55 and Ethos-U55 processors - industry-changing technology that delivers efficient on-device processing for endpoint AI. Arm is enhancing the performance capability of its AI platform for microcontroller-based devices, offering IP that will enable longer battery life, greater privacy, richer applications, and faster response times.

This new technology provides an unprecedented ML performance uplift of up to 480x compared to Cortex-M processors, and a simplified development toolchain for software developers. Developers are already deploying ML to Cortex-M-based devices today and now they are able to seamlessly port that work to this new IP.

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