BlackBerry's QNX division has launched an expanded Online Learning platform for embedded systems developers and partners. The program now offers 14 self paced modules, up from 3, serving more than 12, ...

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 ...

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 ...

Deep learning techniques such as convolutional neural networks (CNN) have significantly increased the accuracy—and therefore the adoption rate—of embedded vision for embedded systems. Starting with ...

Artificial intelligence (AI) and embedded systems have recently made tremendous advancements that have totally changed how we view the future. Technologies like artificial intelligence, machine ...

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 ...

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 ...

Embedded systems are everywhereꟷin robots, automobiles, rockets, even appliancesꟷand they continue to proliferate even during a downturn in other sectors of the electronics industry. One market study ...

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 ...