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 ...

The training of molecular models of quantum mechanical properties based on statistical machine learning requires large data sets which exemplify the map from chemical structure to molecular property.

Over the past few years, artificial intelligence techniques have become one of the most exciting technologies of our age. This fascinating field paves the way for new possibilities and extends to ...

The third phase of BUD/S—Basic Underwater Demolition/SEAL training—is where SEAL candidates earn the “L” in SEAL, mastering land warfare skills under extreme pressure. Spanning seven ...

In this letter, we investigate an intelligent reflecting surface (IRS)-assisted millimeter-wave multiple-input single-output downlink wireless communication system. By jointly calculating the active ...