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 ...

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 ...

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 ...

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

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

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

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

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