Designing Intelligent Systems Using Resource Constrained Edge Devices

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 are not just for big data and the cloud.

  • Date:Tuesday, October 16
  • Time:1:30 PM - 2:20 PM
  • Location:Executive Ballroom 210F
  • Session Type:Conference Session
  • Room:Executive Ballroom 210F
  • Pass Type:All-Access Pass
  • Secondary Track:Embedded Software Development
Jacob Beningo
Beningo Embedded Group