As enterprises expand into a multi-cloud ecosystem, the need for role-based data masking is growing exponentially. IT leaders ...

Artificial intelligence models used to detect depression on social media are often biased and methodologically flawed, ...

ML-driven surveillance systems can flag early signals of disease outbreaks by detecting non-linear trends and hidden ...

In smart grid management, ML enables dynamic control of distributed energy sources, managing real-time energy flows and ...

Machine learning can help tighten constraints on the overarchingFor almost as long as humans have existed, we have been ...

As the dairy industry increasingly adopts automation with the use of sensors and robotics, researchers at Texas A&M AgriLife ...

Britain today live with rheumatoid arthritis (RA). Unlike osteoarthritis (OA), RA is caused not by wear and tear but by the ...

With projected growth to US$ 8.91 billion by 2030, the Global Edge AI Software Market represents a significant opportunity ...

A new study reveals how children outlearn AI - using movement, senses, and social cues to master language faster than any ...

Brigham Young University graduate Jane Housley's research could help make a widely used wildfire modeling tool faster and ...

Drug discovery has traditionally been slow, expensive and prone to failure, but AI and machine learning are set to change all ...