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

As movies have morphed from a vibrant public event into a product we watch on our personal screens, film criticism has also been disrupted thanks to apps like Letterboxd. Fortunately, film critic A. S ...

Personal recommendations continue to drive book discovery more than algorithms, social media, and other digital tools, according to the 2026 State of Reading Report released today by Everand and Fable ...

Abstract: Gaussian processes (GPs) have attracted considerable attention in assisting evolutionary algorithms (EAs) to solve computationally expensive optimization problems (EOPs) because they can ...

The International Society of Automation (ISA) has released “Industrial AI and Its Impact on Automation,” a paper that examines the impact of artificial intelligence on industrial automation. ISA ...

Facebook's vice president of product, Jagjit Chawla, talks about how the platform treats AI-generated content and how you can see less of it. Katelyn is a writer with CNET covering artificial ...

Facebook is trying to help you see Reels you're actually interested in, rather than random videos. The algorithm update will prioritize newer content, showing you 50% more Reels that were posted on ...

Sometimes a term is so apt, its meaning so clear and so relevant to our circumstances, that it becomes more than just a useful buzzword and grows to define an entire moment. “Enshittification,” coined ...

Holly has a degree in Medical Biochemistry from the University of Leicester. Her scientific interests include genomics, personalized medicine, and bioethics.View full profile Holly has a degree in ...

An exclusive excerpt from Every Screen On The Planet reveals how the social media app’s powerful recommendation engine was shaped by a bunch of ordinary, twentysomething curators—including a guy named ...

ABSTRACT: Liver cancer is one of the most prevalent and lethal forms of cancer, making early detection crucial for effective treatment. This paper introduces a novel approach for automated liver tumor ...