As AI continues to advance and converge with IoT and 5G, new opportunities, such as more natural human interaction on smaller devices, require more distributed compute from the cloud and edge to endpoint devices. The benefits of faster responses, greater privacy and enhanced reliability can only be achieved with on-device processing, bringing AI to the trillions of smaller, power-constrained endpoint devices.
Arm continues to drive innovation in open and accessible ways to help more engineers more easily deliver new levels of efficient AI performance for microcontrollers.
Learn more about Cortex-M55 and Ethos-U55 and access the wealth of material and information available by searching for “Machine Learning on Arm” on your favorite browser. You can also get started on ML today with our existing Cortex-M portfolio.