LCGC International’s interview series on the evolving role of artificial intelligence (AI)/machine learning (ML) in separation science continues with Boudewijn Hollebrands from Unilever Foods R&D, ...

AppLovin is reporting spectacular growth and margins, but its heavy reliance on external platforms and non-exclusive AI tools ...

Today, serious trading runs on systems. Decisions are written in code. Orders are triggered automatically.

What if the thermal noise that hinders the efficiency of both classical and quantum computers could, instead, be used as a ...

American political divisions surged between 2008 and 2020, but this trend is not happening globally. A new study in Royal Society Open Science uses machine learning to reveal how cultural issues drive ...

Rapid advances in artificial intelligence, machine learning, and data-driven computational modeling have opened unprecedented opportunities to transform ...

How people with compromised immune systems respond to vaccines is an important area of immunological research. A study led by ...

Choosing the right method for multimodal AI—systems that combine text, images, and more—has long been trial and error. Emory ...

A research team funded by the National Institutes of Health (NIH) has developed a versatile machine learning model that could one day greatly expand what medical scans can tell us about disease.

Mainstream chatbots presented varying levels of resistance to deliberate requests for fabrication, study finds.

This illustration features three of the paper airplanes based on planes in the Smithsonian’s National Air and Space Museum's collections. Smithsonian Books Looking for ways to keep the family ...

Abstract: Given the continually rising frequency of cyberattacks, the adoption of artificial intelligence methods, particularly Machine Learning (ML), Deep Learning (DL), and Reinforcement Learning ...