Researchers have developed a geometric deep learning approach to uncover shared brain activity patterns across individuals.

Scientists have developed a geometric deep learning method that can create a coherent picture of neuronal population activity during cognitive and motor tasks across experimental subjects and ...

The current Commission has not only distanced itself from the European Green Deal and followed calls from the member states, but also decided to give up the AI Liability Directive (AILD) and other ...

Likewise, when researchers study brain dynamics based on recordings of a limited number of neurons, they must infer the latent patterns of brain dynamics that generate these recordings. Suppose you ...

The Riley Nine had established the firm as a player after its launch in 1926. Its 1087cc ‘four’ with hemispherical combustion ...

Researchers tested a strategy for developing single-atom catalysts that may help us develop more efficient methods for water purification.

A new study has challenged conventional wisdom on oxygen reduction reaction (ORR) catalysts by uncovering a novel reaction ...

Connecticut Tenants Union President and New Havener Hannah Srajer was in the middle of laying into the "unchecked greed" of ...

A research team affiliated with UNIST has successfully developed a new porous material for the efficient separation of ...

For anyone looking to cut down on the amount of gadgets in their grooming cabinet, the concept of Panasonic MultiShape is a ...