Researchers from the University of Maryland, Lawrence Livermore, Columbia and TogetherAI have developed a training technique that triples LLM inference speed without auxiliary models or infrastructure ...

For over 5 years, Arthur has been professionally covering video games, writing guides and walkthroughs. His passion for video games began at age 10 in 2010 when he first played Gothic, an immersive ...

An ocean-mining company has funded some of the most comprehensive scientific studies of the deep seabed to date, and peer-reviewed results have begun to emerge. A collage of foraminifera, a kind of ...

NASA's ambitious mission to return astronauts to the moon for the first time this century is on track to launch no later than April 2026, but it just might fly sooner if all goes well. Final tests of ...

A new study tested a device trained to translate four participants' inner thoughts. Andriy Onufriyenko via Getty Images In recent years, scientists have been working on technology that could help ...

From Cape Town to Tehran to Lima to Phoenix, dozens of cities across the globe have recently experienced water shortages. In the next five years the world’s demand for fresh water could significantly ...

An underwater voyage has revealed a network of creatures thriving at the bottom of deep-sea ocean trenches, researchers said in a newly published paper. The deep-sea trenches, also called Hadal ...

EMBL-EBI scientists and collaborators at Heidelberg University have developed CORNETO, a new computational tool that uses machine learning to gain meaningful insights from complex biological data.

STANFORD, California, USA, 24 June 2025 – In a comprehensive Genomic Press interview, Stanford University researcher Eric Sun reveals how machine learning is revolutionizing our understanding of brain ...

The Colossal Foundation, in partnership with Yellowstone Forever, Grizzly Systems, and the Nez Perce Tribe, has launched a bioacoustics initiative to analyze wolf vocalizations using AI. The project ...

Sticking to an exercise routine is a challenge many people face. But a University of Mississippi research team is using machine learning to uncover what keeps individuals committed to their workouts.