Newly published research from a leading computer scientist warns that the use of generative AI to design, train, or perform ...

While innovation reshapes nearly every sector, many learning systems remain tethered to outdated models that struggle to meet ...

Learning health systems turn data into action — rapidly, safely, and continuously — so that innovation truly improves care.

Researchers at Carnegie Mellon University's School of Computer Science (SCS) revealed how small design changes in online tutoring platforms can help students push through their mistakes and keep ...

Discovering and characterizing new materials is important for unlocking advances in fields like clean energy, advanced ...

Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper publishing April 22 in the Cell Press ...

Engineers at NIMS Develop a System That Captures All the Elements of Trial and Error in Material Design, Enabling Reliable ...

I’ve been flying multispectral missions for a few years now, and the biggest surprise of these systems is how much processing ...

Prior experience with AI tools made no difference. The second study, from University of Pennsylvania's Wharton School, asked ...

The bigger opportunity in AI isn't the tools. It's how the companies building them operate. Five crazy shifts in ...

Despite decades of patient safety initiatives, preventable harm remains prevalent in health care. This article posits that a ...