The U.S. Department of Energy now has two major supercomputing systems aimed at accelerating fusion energy research through ...

New paired studies from the University of Minnesota Twin Cities show that machine learning can improve the prediction of ...

A new AI framework called THOR is transforming how scientists calculate the behavior of atoms inside materials. Instead of ...

Despite significant mathematical refinements, econometrics has shown the weaknesses of its logical underpinnings, primarily ...

A research team is using astrophysical explosions to understand the mysterious forces at work in some of the smallest ...

Louisiana Tech University senior Jesse Webb will represent the United States this April at the NYU Abu Dhabi International ...

During AY2025-2026 the CUNY Office of Research funded 16 Research in the Classroom (RIC) grants for faculty to incorporate ...

In this repo, We'll post our projects on rheology-informed machine learning. Feel free to reach out to me at [email protected] if you had any questions or thoughts. We are a computational lab ...

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

A University of Hawaiʻi at Mānoa student-led team has developed a new algorithm to help scientists determine direction in ...

We live in an ever-evolving world, powered by advancements across STEM fields. Today, STEM has become increasingly intertwined with how we live our daily lives–from how we learn, to how we work, to ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...