This story is part of an AI series looking at how WSU is driving innovation in research and teaching through artificial intelligence. View the entire ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...

As India’s digital footprint expands, more and more people are grappling with non-substance addictions like excessive internet use, gaming, smartphone and social media dependence.

The AI we use today is mostly ‘Narrow AI,’ meaning it’s really good at one specific job, like playing chess or recommending songs. The AI in movies, like robots that can think and feel like humans, is ...

A new topology-based method predicts atomic charges in metal-organic frameworks from bond connectivity alone, making large-scale computational screening practical.

Meningioma is the most common type of brain tumor. It does not develop in the brain tissue itself, but on the inside of the ...

Before any system goes live, leaders should pause and ask what kind of decisions they are delegating to AI. Some problems are mechanical and bounded and ripe for AI assistance. Others depend on local ...

Discover why BlackSky (BKSY) and Planet Labs (PL) could lead satellite surveillance—AI imagery, defense demand, and growth ...

People management is just one such skill that Gilson deploys across his role as a senior data science manager, as part of a wider strategy of skill implementation.

Updates to the VersaONE Universal SASE Platform include AI-enhanced data protection, AI-guided troubleshooting, and expanded ...

AI isn't a single capability, and "using AI" isn't a strategy. The strategy is to know what we're building, why it matters ...