Hyperscale data centers are now powering AI models with a revolutionary architecture—at a staggering energy cost.

Even as large language models have been making a splash with ChatGPT and its competitors, another incoming AI wave has been quietly emerging: large database models. Even as large language models have ...

Learn how this new standard connects AI to your data, enhances Web3 decision-making, and enables modular AI systems.

For financial institutions, threat modeling must shift away from diagrams focused purely on code to a life cycle view ...

Occasionally one may hear that a data model is “over-normalized,” but just what does that mean? Normalization is intended to analyze the functional dependencies across a set of data. The goal is to ...

Distributed database consistency models form the backbone of reliable and high-performance systems in today’s interconnected digital landscape. These models define the guarantees provided by a ...

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

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