Machine Learning for Embedded Software Engineers

While there is a lot of hype around machine learning and AI, there are two main use cases right now that will find their way into embedded systems. In this session, attendees will learn about the different applications in the embedded space where...

Machine learning networks can require quite a few resources to train and execute. So how can this be done in an embedded environment? In this session, we will explore several system architectures that developers can use to achieve 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...