Many people have begun experimenting with using machine learning in embedded systems as the two technologies have become more prominent in today’s society. That approach allows for overcoming many of ...

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 ...

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 ...

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, ...

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

When orchestrated together, ML delivers precision and consistency, while generative AI enhances accessibility and adaptability. This dual-engine architecture allows organisations to move from isolated ...

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 ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...

This installment starts a new segment of lessons about state machines. The subject conceptually continues the event-driven theme and is one of my favorites [1,2]. Today, you’ll learn what event-driven ...