Training artificial intelligence models is costly. Researchers estimate that training costs for the largest frontier models ...

Traditional data architectures are rigid and siloed, limiting agility, experimentation and the cross-domain insights required ...

Researchers at Los Alamos National Laboratory have developed a new approach that addresses the limitations of generative AI ...

Alibaba Cloud, the digital technology and intelligence backbone of Alibaba Group, was named a leader in the 2025 Gartner Magic Quadrant for Cloud ...

The world tried to kill Andy off but he had to stay alive to to talk about what happened with databases in 2025.

Alibaba Cloud Named a Leader in Gartner® Magic Quadrant™ for Cloud Database Management Systems for Sixth Consecutive Year Recognized for its Ability to Execute and Completeness of Vision Bangkok, ...

The U.S. Department of Energy building is seen behind a sign marking the location of the agency's headquarters on March 18, 2025, in Washington, D.C. (Photo by J.David Ake/Getty Images) The Department ...

Oracle Corp. today announced the general availability of Oracle AI Database 26ai and Oracle Autonomous AI Lakehouse, both aimed at supporting artificial intelligence training and inference across ...

Abstract: Data voids significantly compromise the reliability of Digital Bathymetry Models (DBMs) for critical applications such as oceanographic research and resource exploration. Traditional ...

A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.