Legacy load forecasting models are struggling with ever-more-common, unpredictable events; power-hungry AI offers a solution.
AI matches daily forecasts like never before, but when it comes to heat, cold, and wind records, HRES physics rules.
Buildings produce a large share of New York's greenhouse gas emissions, but predicting future energy demand—essential for ...
Researchers at Palo Alto, Calif.,-based Stanford Medicine have developed an AI model capable of predicting an individual’s risk of developing more than 100 health conditions using sleep study data.
An AI model using deep transfer learning—the most advanced form of machine learning—has predicted spoken language outcomes ...
Recently, researchers from the Institute of Urban Meteorology, China Meteorological Administration, have combined data from ...
The former, a repurposed Electrolux facility, went online in September 2024, only 122 days after construction began. The ...
A research paper by scientists from Beihang University proposed a machine learning (ML)-driven cerebral blood flow (CBF) prediction model, featuring multimodal imaging data integration and an ...
Objectives In patients with chronic obstructive pulmonary disease (COPD), severe exacerbations (ECOPDs) impose significant morbidity and mortality. Current guidelines emphasise using ECOPD history to ...
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