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 ...

Two things have moved deep-neural-network-based (DNN) machine learning (ML) from research to mainstream. The first is improved computing power, especially general-purpose GPU (GPGPU) improvements. The ...

How machine- and deep-learning technologies are growing rapidly, which brings about new challenges for developers who need to seek ways to optimize ML applications that run on tiny edge devices with ...

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 ...

Even though machine learning AKA ‘deep learning’ / ‘artificial intelligence’ has been around for several decades now, it’s only recently that computing power has become fast enough to do anything ...

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

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 ...

Machine vision and embedded vision systems both fulfill important roles in industry, especially in process control and automation. The difference between the two lies primarily in image processing ...