Webinar – Explore Embedded ML Inference on ARM®-Based Microcontrollers

A trained Machine Learning (ML) model deployed into a production application to process real-world user data is known as an inference. Artificial Intelligence (AI) applications like ML are very taxing on processors and require significant energy to operate. The introduction of Ethos-U55 coupled with an ARM Cortex-M55 processor can create a 480x increase performance while decreasing energy consumption up to 90%.

Cortex-M55 processors are transforming next-gen automotive and IoT applications using smaller footprints and simplified deployment. Arm Software Manager, Kieran Hejmadi leads the discussion on revolutionizing ML inferences with low-cost, limited memory devices using the high-power Arm Cortex-M55 with Ethos-U55. Learn how to deploy these devices with real examples using YOLO 8 on the HX6538 development board by Seeed Technology. Complex tasks like voice recognition, object detection, image processing, and much more can be explored at much lower cost.

To keep pace with the presentation, a basic knowledge of Python programming language and processor microarchitecture is helpful. An overview on how universities can access the Cortex-M55 and Ethos-U55 Arm IP non-commercial research through the zero-cost Arm Academic Access program is provided.

The one-hour online webinar takes place on Thursday, November 21, 2024, at 9 AM CDT. Even if you are unable to attend the live session, please be sure to register so we can send you a link to the recording when it is complete.

Register here: https://event.on24.com/wcc/r/4754355/C969B02850957C22DAD22FEA55787A22?partnerref=blog