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.

Prepare for Safety-Critical Embedded Systems at MTU. When software lives inside machines, failure isn’t an inconvenience—it’s a safety, reliability, and security risk. From vehicles and aircraft to ...

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 ...

Citation: Briggs, D.C. & Furtak, E. (2018). Learning progressions and embedded assessment. Pre-print from S. Brookhart & J. McMillan (Eds) Classroom Assessment and Educational Measurement, NCME Book ...

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 ...

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 ...

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 ...

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, ...