When we learn a new skill, the brain has to decide—cell by cell—what to change. New research from MIT suggests it can do that with surprising precision, sending targeted feedback to individual neurons ...

What if the thermal noise that hinders the efficiency of both classical and quantum computers could, instead, be used as a ...

In a unique class hosted at the Smithsonian Conservation Biology Institute, early-career ecologists learned to apply emerging ...

Researchers at Chiba University in Japan have developed a new artificial intelligence framework capable of decoding complex brain activity with significantly improved accuracy, marking an important ...

A machine-learning model developed by Weill Cornell Medicine investigators may provide clinicians with an early warning of a ...

A new computational method allows modern atomic models to learn from experimental thermodynamic data, according to a ...

The 1983 hit about Matthew Broderick and a computer system “playing” Thermonuclear War should be required viewing at the ...

As companies and start-ups flock to the Valley, the demand for a highly skilled workforce is at an all-time high.

Motor imagery or imagined limb movements can power brain–computer interface (BCI) devices, such as prostheses and wheelchairs, supporting rehabilitation for people with neuromusculoskeletal disorders.

As security risks intensify, districts can take these steps to secure networks, devices and data without overextending resources.

The earliest stage of drug discovery is governed by a simple constraint: there are far more possible drug-like molecules than any pharmaceutical laboratory could ever test. A new deep learning system, ...