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 ...

Edge intelligence has been a key theme in the world of embedded systems for the last few years, but with the heightened awareness and proliferation of generative AI, there was a lot more attention to ...

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 ...

Why it’s important not to over-engineer. Equipped with suitable hardware, IDEs, development tools and kits, frameworks, datasets, and open-source models, engineers can develop ML/AI-enabled, ...

MVTec and Qualcomm enable customers of MVTec HALCON software to access Qualcomm Dragonwing processors’ high-performance NPUs ...

SAN JOSE, Calif.--(BUSINESS WIRE)--SiMa.ai, the machine learning company enabling effortless deployment and scaling at the embedded edge, today announced that it has begun shipping the industry’s ...

In this motor-control demonstration, a Renesas engineer explains how machine learning can help the system detect unbalanced load conditions. In this motor-control demonstration, a Renesas engineer ...

At the start of the year, I highlighted key trends in 5 Embedded Software Trends to Watch in 2024, predicting the forces shaping the industry. As the year unfolded, many of these trends indeed drove ...