Many people have begun experimenting with using machine learning in embedded systems as the two technologies have become more prominent in today’s society. That approach allows for overcoming many of ...

In this video, embedded systems consultant Martin Schroder outlines ten steps on self learning embedded systems. Embedded systems are everywhere in today’s increasingly complex electronics equipment.

Harvard School of Engineering and Applied Sciences offers Fundamentals of TinyML as an introductory online course through its ...

Deep learning, probably the most advanced and challenging foundation of artificial intelligence (AI), is having a significant impact and influence on many applications, enabling products to behave ...

This engineering specialization provides students with the fundamentals of embedded operating systems including a working understanding of how to configure and deploy a Linux based Embedded System.

Embedded-systems designers are on a mission to squeeze powerful AI algorithms into resource-constrained gadgets, relying on cutting-edge custom hardware accelerators and high-level synthesis to push ...

Embedded systems are increasingly prevalent in nearly every aspect of human life. Innovations made possible by embedded systems are making our lives healthier, safer, cleaner, and more stimulating.

Sean Toohey Edge AI has transformed how we use and manage embedded systems by shifting data processing from the cloud to the ...

To thrive in the age of AI, organizations need to make learning a core capability, enabling people, and technologies to ...

Deciding on the programming language for your next embedded product may not be as simple as just choosing C. While C has been the industry's go-to workhorse for the past 50 years, its features and ...