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 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 ...

Building on its growing momentum in the market for hybrid transactional/analytical database management systems, Oracle Corp. today added machine learning capabilities ...

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 ...

This engineering specialization provides students with the fundamentals of embedded operating systems including a working understanding of how to configure and deploy a Linux based Embedded System.

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.

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 ...