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 ...

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 ...

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 ...

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, ...

Figure 1. Schematic diagram of the overall workflow of physical embedding machine learning force field: including high-order isovariant models, physical knowledge-guided adaptive bond length sampling ...

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, ...

When implementing AI systems, choosing between a rule-based vs. machine learning architecture is critical to an application's usability, compatibility and efficiency. Rule-based systems are a basic ...