When X's engineering team published the code that powers the platform's "for you" algorithm last month, Elon Musk said the ...

Researchers at the Department of Energy's Oak Ridge National Laboratory have developed a deep learning algorithm that ...

In an interview with Technology Networks, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of drug discovery.

The growth and impact of artificial intelligence are limited by the power and energy that it takes to train machine learning models. So how are researchers working to improve computing efficiency to ...

We use algorithms every day for things like image searches, predictive text, and securing sensitive data. Algorithms show up ...

Anthropic, a Generative AI company, introduced a new solution that would seem to put many enterprise software vendors at risk ...

Engineered DNA can store massive amounts of data while also encrypting it, opening the door to ultra-secure, long-term ...

AI became powerful because of interacting mechanisms: neural networks, backpropagation and reinforcement learning, attention, ...

Explore the implications of AI errors in health care and the necessity for human oversight in drug prescribing.

Just a few years ago, many researchers in quantum computing thought it would take several decades to develop machines that ...

Gen Z and Gen Alpha are growing up in a very different information world. Teens need to learn how to approach the news in ...

Beginning in Fall 2026, Stevens Institute of Technology will offer a bachelor’s degree in artificial intelligence, preparing ...