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Researchers have suggested some solutions to prevent gender bias in internet algorithms.

A new study has found that dental patients who reported using e-cigarettes, also known as vapes, have a significantly higher risk of developing cavities than those who don’t.

According to research, unconventional brain-like computing at the tiniest scale of atoms and molecules is possible.

Scientists are using artificial intelligence to help identify cases of Parkinson’s disease and estimate its progression by analyzing spatial and temporal gait parameters.

UVA Health researchers have developed an important new tool to help scientists sort signal from noise as they probe the genetic causes of cancer and other diseases.

Researchers from the University of Texas at Austin have demonstrated that paralyzed individuals can operate mind-controlled wheelchairs in a training experiment. The study is published in iScience.

Artificial neural networks that mimic natural neural systems by transmitting data at set times and having periods similar to sleep may avoid catastrophic forgetting.

A novel artificial intelligence blood testing technology has now detected more than 80% of liver cancers in a new study of 724 people.

In a small study, researchers successfully trained a machine learning algorithm to predict, in hindsight, which melanoma patients would respond to treatment and which would not.

New research has shown that rats have the ability to accurately move to a musical beat, a skill thought to be unique to humans.