A scientist in Sweden has developed a new hybrid local features-based method using thermographs to identify faulty solar ...

To understand how coordinated macroscale patterns of intrinsic activity flow across the brain’s structural network, new analysis approaches that can extract interpretable spatial and temporal features ...

Artificial intelligence that is as intelligent as humans may become possible thanks to psychological learning models, combined with certain types of AI.

After decades of frustration, machine-learning tools are unlocking a treasure trove of acoustic data for ecologists.

The conditions for high fusion performance in fusion devices can result in damaging energy bursts called edge-localized modes ...

A new approach optimizes tiny machine learning for ultra-low-power, flexible printed electronics, enabling efficient neural ...

She also points out, though, that GenCast’s training set included physics-based data to fill holes in past records, and this ...

An international team of scientists has used machine learning to help them develop perovskite solar cells with near-record efficiency. In their paper published in the journal Science, the group ...

Researchers at Lawrence Livermore National Laboratory (LLNL) have developed a new approach that combines generative ...

Research reveals machine learning's role in diagnosing autism spectrum disorder, offering insights into improving accuracy ...