Designing Intelligent Systems Using Resource Constrained Edge Devices

Thu. May 16| 3:15 PM - 4:00 PM | 108

Track: ESC Boston, Track B: Embedded Software Design & Verification, ESC Boston, Track D: Advanced Technologies

Badge Type: Paid

Traditional embedded software engineers often think that machine learning and intelligent systems are outside the realm of microcontroller based systems and therefore outside their realm of expertise. Advances in microcontroller technology have made designing intelligent systems using these resource constrained devices a reality. In this session, we will examine the tools and capabilities that are available to microcontroller designers to start using machine learning and adding a new level of intelligence to their devices. Developers will walk away understanding that machine learning and AI is not just for big data and the cloud.


Beningo, Jacob

Beningo, Jacob


Beningo Embedded Group

Role: Speaker