In this video, embedded systems consultant Martin Schroder outlines ten steps on self learning embedded systems. Embedded systems are everywhere in today’s increasingly complex electronics equipment.

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 ...

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 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.

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 ...

How deep learning enhances rule-based machine vision in quality and process control inspection applications. How edge learning compares to deep learning in machine-vision applications. Which ...

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.