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.

Creating accurate inference models is of course the payoff to a supervised learning process able to draw on a wide range of underlying model types and architectures. Among these model types, neural ...

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

Embedded platforms have become an integral part of our daily lives, revolutionizing our technological interaction. These platforms, equipped with deep learning algorithms, have opened a world of ...

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 ...

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 ...

Somdip Dey, also known as InteliDey, is the cofounder and Chief Scientist of Nosh Technologies, an MIT Innovator Under 35 (Europe) in AI/Robotics, a Professor of Practice (AI/ML) at the Woxsen ...

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.

In this rapidly evolving technology, embedded systems have become the backbone of the modern world. From the subtle intelligence of smart home devices to the critical operations within healthcare and ...