Next-generation Armv8.1-M architecture: Delivering enhanced machine learning and signal processing for the smallest embedded devices

The drive towards a world of a trillion connected devices is accelerating and will continue to do so, but only if we can find ways to efficiently expand the compute capabilities on a greater number of constrained devices at the far edge of the network. Increasing the compute capabilities in these devices will immediately open the door for developers to write machine learning (ML) applications directly for the device for decision-making at the source, thus enhancing data security while cutting down on network energy consumption, latency and bandwidth usage. To achieve this, we're introducing Arm Helium technology, the M-Profile Vector Extension (MVE) for the Arm Cortex-M series processors that will enhance the compute performance of the Armv8.1-M Helium will deliver up to 15x more ML performance and up to 5x uplift to signal processing for future Arm Cortex-M processors, unlocking new market opportunities for our partners where performance challenges have limited the use of low-cost and highly energy-efficient devices. Advanced digital signal processing (DSP) is available today through Arm Neon technology in richer Cortex-A based devices.