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

Based on this experience, I'll take you through how open-source AI e-signatures are reshaping document signing now and how ...

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

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

A new machine learning approach tries to better emulate the human brain, in hopes of creating more capable agentic AI.

Managing radioactive waste is one of the core challenges in the use of nuclear energy. In particular, radioactive iodine ...

I am a computational biologist interested in interpretable machine learning for genomics and health care. Interpretable ...

Artificial intelligence models used to detect depression on social media are often biased and methodologically flawed, ...

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

Utilities are cautiously embracing AI for predictive maintenance and fieldwork support as data centers and climate change ...