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

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 ...

The new capabilities are designed to enable enterprises in regulated industries to securely build and refine machine learning ...

To flexibly and robustly handle diverse problems, AI systems can leverage dual-process theories of human cognition that ...

From call centres to back-office systems, telcos are navigating the shift from predictive ML to generative AI, balancing ...

Opinion: Lidiya Mishchenko and Pooya Shoghi explain how to bridge a gap preventing successful patent claims to protect new ...

Inside the Session What: Predicting the Future using Azure Machine Learning When: Aug. 7, 2025, 9:30 a.m. - 10:45 a.m. Who: Eric D. Boyd, Founder and CEO of responsiveX Why: Learn the fundamentals of ...

In a bid to explore MAX phases with experimental significance across a significantly broader combinatorial space, the researchers of this study pioneered the development of a machine-learning ...

Combining concepts from statistical physics with machine learning, researchers at the University of Bayreuth have shown that highly accurate and efficient predictions can now be made as to whether ...