Beyond achieving technical excellence, the study underscores the practical utility of explainable AI in flood risk management ...

Researchers have used machine learning to dramatically speed up the processing time when simulating galaxy evolution coupled with supernova explosion. This approach could help us understand the ...

In an era driven by data-intensive ecosystems and cloud-native software innovation, the need for robust, secure, and ...

CSIRO researchers have used quantum machine learning to enhance semiconductor fabrication—a world-first that could reshape ...

Some of the most encouraging results for reaction-enhancing catalysts come from one material in particular: tin (Sn). While ...

A new artificial intelligence (AI) model shows potential to forecast ocean currents in the Gulf of Mexico from just a laptop, ...

Model Context Protocol, or MCP, is gaining momentum. But, not everyone is fully onboard yet, as financial institutions sit ...

Medical devices that harness the power of artificial intelligence or machine learning algorithms are rapidly transforming ...

Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

Researchers at Tohoku University used machine learning potential to create large-scale models of tin (Sn) catalysts under ...

The School of Chemical Engineering (CHEM School) is one of the six schools of Aalto University. It combines natural sciences and engineering in a unique way. We are now looking for: ...

The graphite found in your favorite pencil could have instead been the diamond your mother always wears. What made the ...