As Large Language Models (LLMs) are widely used for tasks like document summarization, legal analysis, and medical history evaluation, it is crucial to recognize the limitations of these models. While ...

I am a computational biologist interested in interpretable machine learning for genomics and health care. Interpretable ...

Researchers have used machine learning to dramatically speed up the processing time when simulating galaxy evolution coupled with supernova explosion. This approach could help us understand the ...

The Fascinating World of Bee Cognition The world of bees extends far beyond their well-known role as nature’s most industrious ...

The study’s authors note that small neural networks — simplified versions of the neural networks typically used in commercial ...

Colossal Biosciences is using AI and star power to revive extinct species, think woolly mammoths, with a bold mission to ...

Powered by the largest digital camera ever built, Rubin Observatory has taken its first images—millions of stars and galaxies ...

The first batch of survey data from the European Space Agency’s Euclid space telescope, whose massive visible-light camera was built by a UCL-led team, includes more than 380,000 galaxies catalogued ...

Matteo Paz built a machine-learning algorithm in high school to analyze heaps of data for NASA. He just won a $250,000 Science Talent Search award.

The postponement, driven primarily by thick clouds, was the second scrub of the flight since an issue with the rocket on Saturday night. By Katrina Miller Two NASA missions, set for a late-night ...

Abstract Recent groundbreaking advances in the structural biology of the glucose transporter 9 (GLUT9) and urate transporter 1 (URAT1) have provided critical insights into the molecular mechanisms ...

The initiative, funded by the National Science Foundation with an $866,172 grant, aims to decipher the life cycle of these devastating phenomena over a three-year period beginning September 1, 2024.