*** AI/ML Edge Devices and Smart Sensors Integration Master Class***

[Eleon BORLINI]

Save the date --- APRIL 28, 2022, SEMI HQ

This class will explain and demonstrate how AI/ML logic can be implemented on Edge devices such as Smart sensors. Power efficiency, latency, and bandwidth considerations are important for AI/ML implementation on Edge devices. Computing can be distributed between Edge devices and Cloud. The latest trends and applications of smart sensors in consumer electronics, automotive, and industrial use cases will be discussed.

Featured speakers:

 

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[Eleon BORLINI]

Details:

This course is designed for applications engineers wanting to learn how to add sensors to an existing or new product. Instructors are experienced STMicroelectronics engineers with many sensor design and implementations.

The course covers many topics including the importance of power efficiency, latency, and bandwidth considerations for AI/ML implementation on edge devices. Learn how computing can be distributed between the edge devices and the cloud. The latest trends and applications of smart sensors in consumer electronics, automotive, and industrial use cases will also be discussed.

Join us in person at SEMI HQ, for this hands-on learning experience. 

This course is underwritten by STMicroelectronics.