Discover how credibility theory helps actuaries use historical data to estimate risks and set insurance premiums; learn how ...
Training artificial intelligence models is costly. Researchers estimate that training costs for the largest frontier models ...
SQL remains the backbone of enterprise data access. Despite the rise of dashboards, semantic layers, and AI-driven analytics, ...
Engineers at the University of California have developed a new data structure and compression technique that enables the ...
Objective: To understand patient portal engagement stratified by patient characteristics among adults 50 years and older with at least 1 common chronic medical condition using electronic health ...
Companies investing in unified, managed and rich data layers will drive innovation in the coming decade. Through these ...
Hyperscale data centers are now powering AI models with a revolutionary architecture—at a staggering energy cost.
Traditional data architectures are rigid and siloed, limiting agility, experimentation and the cross-domain insights required ...
Speeding up model training involves more than kernel tuning. Data loading frequently slows down training, because datasets are too large to fit on disk, consist of millions of small files, or stream ...
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