Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...
Until now, designing complex metamaterials with specific mechanical properties required large and costly experimental and simulation datasets. The method enables ...
Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...
Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...
A research team led by Chang Keke from the Ningbo Institute of Materials Technology and Engineering (NIMTE), Chinese Academy ...
Tech Soft 3D, the world leader in providing engineering software development toolkits (SDKs), officially launches HOOPS AI, the first framework purpose-built to unlock AI and machine learning for CAD ...
Researchers in Slovakia have demonstrated a machine-learning framework that predicts PV inverter output and detects anomalies using only electrical and temporal data, achieving 100% accuracy in ...
A range of national meteorological services across Europe and ECMWF have launched Anemoi, a framework for creating machine learning (ML) weather forecasting systems. Named after the Greek gods of the ...
A generalizable ML framework predicts protein interactions with ligand-stabilized gold nanoclusters, supporting faster design ...
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