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 ...

BlackBerry's QNX division has launched an expanded Online Learning platform for embedded systems developers and partners. The ...

Machine learning is a subfield of artificial intelligence which gives computers an ability to learn from data in an iterative manner using different techniques. Our aim here being to learn and predict ...

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 ...

Intel wrote a white paper in collaboration with Daedalean, a startup working on machine-learned solutions in the aviation space. Published this week, the report features a reference design for an AI ...

A new microcontroller claims to offer hardware-assisted machine learning (ML) acceleration for the Internet of Things (IoT) and industrial applications such as smart home, security surveillance, ...

How embedded AI hardware reliability is handled in the defense and aerospace fields. How that reliability is assured and tested. With artificial intelligence progressing into areas as diverse as ...

In the last lesson, you encountered the concept of a Real-Time Operating System (RTOS), and you worked out a manual procedure of switching the context from one thread to another. In this lesson, ...

Any electronic system that uses a computer chip but is not a general-purpose desktop or laptop computer, tablet or smartphone. Embedded systems use microcontrollers (MCUs), microprocessors (MPUs) or ...

The embedded systems industry is constantly evolving. In my 20 years in the industry, embedded devices have gone from resource-constrained monolithic designs running on 8-bit microcontrollers to today ...