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 ...

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

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 ...

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, ...

MOUNTAIN VIEW, Calif., Oct. 14, 2020 /PRNewswire/ -- Synopsys, Inc. (Nasdaq: SNPS) today announced its collaboration with SiMa.ai to bring its machine learning inference at scale to the embedded edge.

Edge Impulse Studio was built to consolidate and standardize this entire workflow. The platform makes it easy to build, train ...

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 ...

Over the past two decades, the biggest evolution of Artificial Intelligence has been the maturation of deep learning as an approach for machine learning, the expansion of big data and the knowledge of ...