To confront bias, scientists say we must examine the ontological frameworks within large language models—and how our perceptions influence outputs.

It can take years for humans to solve complex scientific problems. With AI, it can take a fraction of the time.

Imagine having a super-powered lens that uncovers hidden secrets of ultra-thin materials used in our gadgets. Research led by ...

Ali Shiri discusses how large language models are impacting research for academics and university stakeholders.

When asked to name a chief design officer, a few names likely come to mind. Sir Jony Ive at Apple, John Hoke III at Nike, or ...

“ORNL is leading the AI frontier in science,” Potok concluded. “We are using AI to simulate, predict and accelerate ...

In an office at MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL), a soft robotic hand carefully curls ...

A strong local food supply that protects farmers, the supply chain and the environment: that’s the goal of $5.4 million in provincial funding for 28 University of Guelph (UofG) research projects.  ...

Training schools focused on modeling solid Earth responses to ice mass changes offer lessons on how early-career scientists ...

Science for Policy (S4P) workshop In June, COST held its 4th 'Science for Policy' workshop, bringing together representatives ...