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.

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 ...

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 ...

Somdip is the Chief Scientist of Nosh Technologies, an MIT Innovator Under 35 and a Professor of Practice (AI/ML) at the Woxsen University. As a leader in the artificial intelligence (AI) domain and a ...

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 ...

Key to the performance, low power and low memory bandwidth capabilities of CDNN is the CEVA Network Generator, a proprietary automated technology that converts a customer's network structure and ...

Artificial intelligence (AI) is revolutionizing embedded systems, transforming how technology integrates into daily life. No longer limited to basic tasks, AI is now leveraged in smart cars, ...

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 ...

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 ...

Across industries such as aerospace, automotive, medical technology, and industrial automation, embedded systems are becoming ...