In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...

Researchers at University of Jyväskylä (Finland) advance understanding of gold nanocluster behavior at elevated temperatures ...

Neel Somani has built a career that sits at the intersection of theory and practice. His work spans formal methods, mac ...

RIT researchers publish a paper in Nature Scientific Reports on a new tree-based machine learning algorithm used to predict chaos.

From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...

Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has ...

Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...

Researchers at University of Jyväskylä (Finland) advance understanding of gold nanocluster behavior at elevated temperatures ...

The Technical Psychoacoustics research group at the Aalto Acoustics Lab, within the Department of Information and Communications Engineering at Aalto University, invites applications for a one-year ...

Interpretable AI model could offer new insights into why medicines cause certain side effects, helping to improve future drug safety predictions.

In hopes of providing a better monitoring system for those seeking to mitigate the negative effects of gentrification, ...

The growth and impact of artificial intelligence are limited by the power and energy that it takes to train machine learning models. So how are researchers working to improve computing efficiency to ...