May 14 - 15, 2021, Central Michigan University, Mount Pleasant, MI
Format: Online
Industry Sessions
Industry Session
Saturday, May 15, 2021
1:45 PM

Jacob Beningo
President, Beningo Embedded Group

Introduction to Machine Learning for Microcontroller-Based Systems
Microcontroller-based systems have generally been considered too small from both a memory and computational operation standpoint for Machine Learning. That has changed. The need to decrease energy consumption, bandwidth and latency while simultaneously increasing security and reliability is driving machine learning out of the cloud and into the edge. In this session, we will introduce machine learning in microcontrollers using TensorFlow Lite, Keras and STM32 microcontrollers.
Attendees will learn how to:
  • Build and train a simple model using Keras
  • Convert and analyze a model for use with a microcontroller
  • Deploy the model to an STM32 microcontroller

Jacob Beningo is an embedded software consultant with over 15 years of experience in microcontroller based real-time embedded systems.
After spending over ten years designing embedded systems for automotive, defense and space industries, Jacob founded Beningo Embedded Group in 2009. Jacob has worked with clients in more than a dozen countries to dramatically transform their businesses by improving product quality, cost and time to market. He has published more than 200 articles on embedded software development techniques, is a sought-after speaker and technical trainer who holds three degrees which include a Masters of Engineering from the University of Michigan.
Jacob is an avid writer, trainer, consultant and entrepreneur who transforms the complex into simple and understandable concepts that accelerate technological innovation.
Jacob has demonstrated his leadership in the embedded systems industry by consulting and training at companies such as General Motors, Intel, Infineon and Renesas along with successfully completing over 50 projects. Jacob also speaks at and is involved in the embedded track selection committees at ARM Techcon, Embedded System Conferences and Sensor Expo. Jacob holds Bachelor’s degrees in Electrical Engineering, Physics and Mathematics from Central Michigan University and a Master’s degree in Space Systems Engineering from the University of Michigan.
In his spare time, Jacob enjoys spending time with his family, reading, writing, playing hockey and golf. In clear skies, he can often be found outside with his telescope, sipping a fine scotch while imaging the sky.