Georgia Tech’s Qi Tang is building machine learning (ML) models to accelerate nuclear fusion research, making it more affordable and more accurate. Backed by a grant from the U.S. Department of Energy ...

High-entropy alloys are promising advanced materials for demanding applications, but discovering useful compositions is difficult and expensive due to the vast number of possible element combinations.

A team of researchers in Japan has developed an artificial intelligence tool called YORU that can identify specific animal ...

One would imagine that an AI capable of solving the hardest Olympiad problems would naturally produce novel scientific ...

Artificial intelligence and machine learning are rapidly transforming scientific research, with researchers across multiple areas of physics leading the development and application of these tools. To ...

Now in its 70th year, the Greater New Orleans Science and Engineering Fair is gearing up for another round of STEM presentations. Over 300 middle- and high-school students will congregate at Tulane ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...

This post examines the evolution of robotic laboratories and outlines the key breakthroughs required to advance toward genuinely embodied scientific intelligence. The earliest defining milestone of ...

SANTA CLARA, CA, Feb. 12, 2026 (GLOBE NEWSWIRE) -- SANTA CLARA, CA - February 12, 2026 - - ...