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 ...

Enterprise software is undergoing a major transformation as machine learning becomes deeply embedded into core digital ...

The Machine Learning Revolution: Key Trends Shaping 2026 and Beyond The Machine Learning Revolution: Key Trends Shaping 2026 and Beyond ...

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 ...

Enterprise AI performance increasingly reflects the maturity of underlying data science and machine learning capabilities as organizations scale beyond early experimentation. Info-Tech Research ...

Choosing flexible hardware for DNN architectures for apps like ATM camera systems. How "embeddings" can be effective in the image-recognition reidentification process. How Arcturus Networks developed ...

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 ...

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 ...

SAN JOSE, Calif.--(BUSINESS WIRE)--SiMa.ai™, the machine learning company enabling high performance compute at the lowest power, today announced the adoption of low-power Arm® compute technology to ...

Interview Kickstart Releases In-Depth Career Transitions Guide on Moving from Data Scientist to Machine Learning Engineer as ...

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, ...