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 ...

Embedded systems have always been about squeezing every ounce of performance from limited hardware. From hand-optimized assembly to finely tuned C, we’ve spent years writing efficient code, minimizing ...

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 Case School of Engineering faculty are exploring new boundaries in healthcare with the use of embedded systems. Our researchers are aiming to develop improved output encoding methods for ...

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 ...

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 ...

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.