News

Many of the bacteria that ravage crops and threaten our food supply use a common strategy to cause disease: injecting a cocktail of proteins directly into the plant’s cells. Now researchers may finally have an answer to how this makes plants sick.

Oceans are strongly affected by climate change as they absorb heat and CO₂. As a result, ocean chemistry and acidification is changing.

Antibody treatments may be able to activate the immune system to fight diseases but are less effective when they bind with themselves. Now, new machine-learning algorithms can highlight problem areas in antibodies.

An approach to training AI that relies on physical processes rather than the digital artificial neural networks used currently could be more efficient.

A new study has examined the consistency of greenhouse gas measurements from observation satellites.

An artificial intelligence tool developed by researchers at the University of Rochester can help people with Parkinson’s disease remotely assess the severity of their symptoms within minutes.

Synchronicity is all around us, but it is poorly understood. Computer scientists have now developed new tools to understand how human and natural networks fall in and out of sync.

Video games could give ophthalmologists an easy window not into the soul, but into eye health and the eye-brain-body connection, the three-way reciprocal communication that influences our actions.

Using a standardized assessment, researchers in the UK compared the performance of a commercially available AI algorithm with human readers of screening mammograms.

A team of scientists from Ames National Laboratory developed a new machine learning model for discovering critical-element-free permanent magnet materials. The model predicts the Curie temperature of new material combinations.