News

Researchers from the MRC Brain Network Dynamics Unit and Oxford University’s Department of Computer Science have set out a new principle to explain how the brain adjusts connections between neurons during learning.

A meta-imager that uses a nanostructured lens material could potentially replace traditional imaging optics in machine-vision applications.

Researchers have developed a computational method that identifies new materials for use in extreme environments, which could form the basis of corrosion-resistant coatings, batteries and catalysts.

Penn Medicine researchers developed an artificial intelligence tool to quickly analyze gene activities in medical images and provide single-cell insight into diseases in tissues and tissue microenvironments.

Scientists from the University of Rochester report that deep learning can supercharge the search for new materials by better leveraging the data produced by X-ray diffraction experiments.

Researchers have developed a new computational tool to describe how the atoms within quantum materials behave when they absorb and emit light.

A newly developed tool enables researchers to identify prehistoric and historic individuals' relatives up to the sixth degree, such as second to third cousins.

Using a type of artificial intelligence known as deep learning, MIT researchers have discovered a class of compounds that can kill a drug-resistant bacterium that causes more than 10,000 deaths in the United States every year.

Seabirds in the Pacific Ocean are eating plastic and feeding it to their chicks. But we know precious little about why the birds are doing this.

With a single flash of light to the eye, artificial intelligence (AI) could deliver a faster and more accurate way to diagnose autism spectrum disorder (ASD) in children, according to new research.