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 ...

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 ...

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 ...

Machine learning (ML) is only one aspect of artificial intelligence (AI). ML also has many parts to it, but those having the biggest impact now are based around neural networks (NNs). Even drilling ...

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, ...

Prior knowledge needed: ECEA 5385 Industrial IoT Markets and Security, ECEA 5386 Project Planning and Machine Learning, experience with technical writing, foundational knowledge and experience in ...

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 ...

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 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 ...