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

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

Drug discovery has traditionally been slow, expensive and prone to failure, but AI and machine learning are set to change all ...

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

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

In recent years, with the public availability of AI tools, more people have become aware of how closely the inner workings of ...

The success of AI governance is intertwined with strong data governance. By reliably automating routine tasks and freeing human resources for more strategic work, AI can revolutionise data governance.

Machine learning methods enable computers to learn without being explicitly programmed and have multiple applications, for example, in the improvement of data mining algorithms.

New research reveals a surprising geometric link between human and machine learning. A mathematical property called convexity may help explain how ...

Increase agricultural productivity in India using machine learning-based crop recommendation systems for improved yields and ...

The tool leverages data on extensive protein water networks to predict the likelihood of water molecule positions within experimental protein structures, potentially aiding drug discovery efforts.

In the age of technology, Prerna Ramachandra, a leading industry expert in artificial intelligence, explores the ...