An automated machine learning program has been able to identify potential cardiovascular incidents or fall and fracture risks based on bone density scans taken during routine clinical testing.

Australian and Canadian researchers have developed a cutting-edge machine learning algorithm capable of rapidly identifying ...

Australian and Canadian researchers have developed a cutting-edge machine learning algorithm capable of rapidly ...

Researchers in Australia and Canada have developed a machine learning algorithm capable of identifying cardiovascular risks, ...

One trend fueling this pressure is "#SkinnyTok," a growing corner of TikTok where creators glorify extreme thinness and share ...

Feeling overwhelmed by doomscrolling? What you feed your brain matters. Change what you click on to retrain your mind, shift ...

Hallucinations / A common (but controversial) term of art for undesirable outputs produced by generative AI, such as when ...

John Sarcone III said more powerful tools were needed to monitor communications between sexual predators and children though ...

The StrataQuest software was coupled with TissueFAXS, offering a convenient workflow that could automatically acquire up to ...

An international team of researchers has developed BiaPy, an open-code artificial intelligence platform that facilitates the ...

UD researchers combine field data and machine learning algorithm to find salt patches on farmland tripled since 2011 in ...