Understand the impact of AI coding on scientific workflows and how it can make computational tools more accessible to researchers.
The Uncertainty Engine is guiding research in fusion plasma physics. Could similar approaches benefit fission research as ...
No. Microsoft data centers in Mount Pleasant in southeast Wisconsin are projected to use much more water annually than would fill four Olympic-size pools.
A computational method called scSurv, developed by researchers at Institute of Science Tokyo, links individual cells to patient outcomes using widely available bulk RNA sequencing data. The approach ...
Microscopic images of human tissue are a cornerstone of biomedical research and clinical diagnostics. Yet despite their importance, these images often remain difficult to analyze systematically and to ...
Applications are being accepted for a fully funded PhD position at the University of Auckland on fracture and recharge ...
New research reveals that "foundation models" trained on vast, general time-series data may be able to forecast river flows accurately, even in regions with little or no local hydrological records.
Machine learning analysis reveals which metrics drive March Madness seeding and predictive analytics in committee decisions.
An exclusive conversation with OpenAI’s chief scientist, Jakub Pachocki, about his firm's new grand challenge and the future of AI.
Introduction Climate-sensitive mortality in rapidly urbanising tropical Africa is poorly characterised, and how pandemics disrupt established seasonal patterns remains underexplored. We analysed ...
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