As financial crime grows in scale, speed, and sophistication, banks are increasingly turning to artificial intelligence, ...

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of uncertainty.

In the domain of metamaterials, the push toward automated design has been accelerated by advances in generative machine learning. The advent of deep ...

An interdisciplinary team of researchers has developed a machine learning framework that uses limited water quality samples to predict which inorganic pollutants are likely to be present in a ...

The landscape of enterprise data strategy has undergone a remarkable transformation in recent years, driven by the rapid advancement of artificial intelligence and particularly machine learning ...

Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...

For his research in machine learning-based electron density prediction, Michigan Tech researcher Susanta Ghosh has been recognized with one of the National Science Foundation's highest honors. The NSF ...

Can you use the new M4 Mac Mini for machine learning? The field of machine learning is constantly evolving, with researchers and practitioners seeking new ways to optimize performance, efficiency, and ...

Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting ...