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 ...

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 ...

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 ...

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 ...

ECEN 5613 is a 3 credit hour course and is the first course in CU's Professional Certificate in Embedded Systems. It is one of the Embedded Systems Engineering program core courses and provides an ...

The courses offered in this catalog are a curated collection of learning materials that provide an overview of Industry 4.0. It is designed to provide resources that businesses can use to understand ...

Citation: Briggs, D.C. & Furtak, E. (2018). Learning progressions and embedded assessment. Pre-print from S. Brookhart & J. McMillan (Eds) Classroom Assessment and Educational Measurement, NCME Book ...

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.

Prepare for Safety-Critical Embedded Systems at MTU. When software lives inside machines, failure isn’t an inconvenience—it’s a safety, reliability, and security risk. From vehicles and aircraft to ...