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 ...

Somdip is the Chief Scientist of Nosh Technologies, an MIT Innovator Under 35 and a Professor of Practice (AI/ML) at the Woxsen University. As a leader in the artificial intelligence (AI) domain and a ...

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.

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 ...

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 ...

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 ...