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 ...

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 ...

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 ...

Somdip Dey, also known as InteliDey, is the cofounder and Chief Scientist of Nosh Technologies, an MIT Innovator Under 35 (Europe) in AI/Robotics, a Professor of Practice (AI/ML) at the Woxsen ...

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 ...

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

Development tools like the DeepView ML tool suite, Glow ML compiler, and PyTorch framework simplify the process of creating ML/deep-learning projects on embedded platforms and help developers bring ...

CEVA has introduced a real-time neural network software framework, the CEVA Deep Neural Network (CDNN), to streamline machine learning deployment in low-power embedded systems. Exploiting the ...

Only six years old, Edge Impulse says it’s all about ‘empowering developers to create and optimize solutions with real-world data.’ In practice, Qualcomm seems to be acquiring tools and relationships, ...

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 ...