Researchers at the University of California, Santa Cruz have trained lab-grown clusters of mouse brain cells to balance a ...

A new study suggests that lenders may get their strongest overall read on credit default risk by combining several machine learning models rather than relying on a single algorithm. The researchers ...

To use this evidence, investigators typically must grow the larvae until adulthood in a laboratory setting and then identify ...

Facing strict privacy laws, telcos use AI-generated synthetic data as a compliant workaround to train ML models without exposing sensitive customer information.

Choosing the right method for multimodal AI—systems that combine text, images, and more—has long been trial and error. Emory ...

A team of EPFL researchers has developed an AI algorithm that can model complex dynamical processes while taking into account the laws of physics—using Newton's third law. Their research is published ...

While the world's leading artificial intelligence companies race to build ever-larger models, betting billions that scale alone will unlock artificial general intelligence, a researcher at one of the ...

Abstract: In lifelong learning, data are used to improve performance not only on the present task, but also on past and future (unencountered) tasks. While typical transfer learning algorithms can ...

Abstract: Supply chain management infrastructure holds a great deal of importance for each and every business sector from suppliers to the final consumer. There is often insufficient visibility in ...