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ESC Boston 2019 Schedule Viewer


Welcome to the Biomed Boston & ESC Boston 2019 Presentation Store. Here you can view and download conference and/or show floor theater presentations before, during, and after the event. If you’re looking for a presentation from a specific session that you’re unable to find here, note that it’s likely because the presenter has not provided permission for external use or has not yet shared their presentation with us. Please check back after the event for a more complete catalogue of available presentations.

Designing Intelligent Systems Using Resource Constrained Edge Devices

Jacob Beningo  (President, Beningo Embedded Group)

Location: 108

Date: Thursday, May 16

Time: 3:15 pm - 4:00 pm

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

Vault Recording: TBD

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.


Key Takeaways
- Machine learning can be deployed on Cortex-M processors
- The tools and techniques needed to use machine learning on a Cortex-M
- Ideas and design patterns that can be used on microcontroller based devices
- Potential applications for edge nodes that can utilize machine learning

Intended Audience

Embedded developers interested in learning some Deep Learning fundamentals and how they can apply AI to edge node devices.