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Machine Learning for Embedded Software Engineers

April 22, 2019, to April 26, 2019
Continuing Education Center
Digi-Key

Jacob Beningo

Jacob Beningo is an embedded software consultant who currently works with clients in more than a dozen countries to dramatically transform their businesses by improving product quality, cost and time... More

Artificial intelligence has long been a tool for developers working in high-performance computing and cloud-based systems. AI has transformed the way that networks are monitored, email is scanned and even the way we interact with our phones and devices. While AI and machine learning have always felt like a distant tool that lived outside real-time embedded systems, machine learning is coming to microcontroller-based systems and, in fact, is already here! In this course, we will examine machine learning from an embedded software developers’ point of view, not just to understand machine learning principles and how they apply to us, but also how to get machine learning up and running on an embedded device.

April 26 – Day 5 – Near Real-time Machine Learning Using Coral

Real-time machine learning network execution is not quite yet a reality in the embedded space, but it is coming close with the Google Coral module. In this session, we will explore the Google Coral module and see how it stacks up against more embedded solutions and understand how it fits in the...
April 26, 2019 - 2:00pm EDT

April 25 – Day 4 – Machine Vision with OpenMV

In this session, we will dig deep into machine learning with the OpenMV camera module which is based on the Arm Cortex-M7. We will examine how to set up the module and use its APIs to create a basic application that can perform simple object recognition. Attendees will walk away with an...
April 25, 2019 - 2:00pm EDT

April 22 – Day 1 – Introduction to Machine Learning

To a traditional embedded software developer, machine learning is something that exists far from our resource-constrained devices, but times are quickly changing. In this session, we will examine how machine learning fits into an embedded system and explore how it can be used. We will examine what...
April 22, 2019 - 2:00pm EDT
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