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

USC and UCLA researchers have created a wireless device that uses AI to decode pain levels from brain activity and customize ...

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

There is little consensus around anything related to artificial intelligence (AI) these days. But one expectation that does seem to have taken hold among a large share of businesses, investors and ...

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

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

A massive, government-led operation like the Manhattan Project is not feasible, but a public-private partnership could work ...

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

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

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

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

Scientists have revealed that Convolutional Neural Networks (CNNs), a type of deep learning algorithm, demonstrate superior ...