Artificial intelligence (AI) is increasingly used to analyze medical images, materials data and scientific measurements, but ...

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

Engineers at the University of California have developed a new data structure and compression technique that enables the ...

The race to build the physical backbone of artificial intelligence is accelerating, and one number captures the stakes: a ...

Companies investing in unified, managed and rich data layers will drive innovation in the coming decade. Through these ...

Penguin Ai, a healthcare artificial intelligence company, announced today the launch of its Hierarchical Condition Category (HCC) Coding & Risk Adjustment solution on Snowflake Marketplace. The ...

The final, formatted version of the article will be published soon. In this paper,a quantitative evaluation model based on the Analytic Hierarchy Process (AHP) is constructed to addresses the issues ...

Benchmarks reveal how artificial-intelligence systems reinforce discriminatory social hierarchies.

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

These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.

Abstract: Local energy communities are citizens’ associations that allow efficient energy sharing and management among their members. Such organizations play a crucial role in the energy transition, ...

This valuable study links psychological theories of chunking with a physiological implementation based on short-term synaptic plasticity and synaptic augmentation. The theoretical derivation for ...