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

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

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 ...

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

The rise of agentic AI is fueling a new reality: a machine-human workforce, which requires new org structures and leadership ...

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 research reveals that although some users frame the gig economy as a space of freedom, income flexibility, and ...

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

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