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 ...

Machine vision, a technology that until now has been largely restricted to factory production lines, is poised to enter a whole range of new applications with the development of embedded systems at ...

AI models have demonstrated impressive results in experiments, but deploying them in real-world applications requires combining neural networks with pre- and post-processing steps. Thus the need for ...

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

Many IT and business professionals are just starting to get their feet wet with machine learning, which promises to enable systems to essentially program themselves, based on constantly refreshed data ...

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 ...

Software engineers are increasingly seeking structured pathways to transition into machine learning roles as companies expand ...

TORONTO—Sometimes a problem can become its own solution. For CEA-Leti scientists, it means that traits of resistive-RAM (ReRAM) devices that have been previously considered as “non-ideal” may be the ...

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 ...