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 ...

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 ...

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 ...

This course will discuss the trends and challenges of modern embedded systems, and introduce fundamental concepts in their design and evaluation. The course topics include 1) models of computation for ...

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 ...

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 ...

Overview: Despite the fast-growing popularity of online learning platforms, core electronics engineering books are still a ...

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 ...

At the start of the year, I highlighted key trends in 5 Embedded Software Trends to Watch in 2024, predicting the forces shaping the industry. As the year unfolded, many of these trends indeed drove ...

Embedded systems power everything from smart agriculture sensors to life-saving medical implants. As their numbers swell into the tens of billions, the engineering community faces a pivotal challenge: ...