Predicting earthquakes has long been an unattainable fantasy. Factors like odd animal behaviors that have historically been ...

To identify and evaluate candidate materials, process engineers must analyze an enormous amount of data. Bulk properties like ...

Pranav Prabhakar is an engineering leader with expertise in building scalable systems, deploying machine learning in ...

AI-assisted signal debugging has broad impact across many domains.

To overcome two challenges in training AI – scarce or hard-to-get data and data privacy – researchers have come up with a ...

Researchers have developed a powerful new software toolbox that allows realistic brain models to be trained directly on data.

Treating annotation as a data understanding problem, rather than a labeling workflow challenge, can systematically drive down error rates and reduce the time and cost of producing high-quality data ...

Explore how big data influences AI in drug discovery and why biologically rich data matters more than sheer size.

By Archie Roboostoff, VP of Software at Tigo Energy In the U.S., the utility-scale sector has the greatest share of the U.S.

Meta says it's made improvements to its ad retrieval architecture, which could help businesses better reach their audiences.

As data quality becomes the biggest barrier to trustworthy AI, Curator Hub offers a smarter, more scalable way to resolve ...

Five federally funded AI institutes provide a backbone for agriculture-focused AI research. The grand challenge facing global ...