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The diagram illustrates the interplay among data acquisition, machine learning, and experiment synthesis. Physical models such as thermodynamics and kinetics can be integrated into ML models as ...
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A research team led by Prof. Wan Yinhua from the Institute of Process Engineering (IPE) of the Chinese Academy of Sciences ...
A research team led by Prof. WAN Yinhua from the Institute of Process Engineering (IPE) of the Chinese Academy of Sciences ...
The 10 hottest data science and machine learning tools include MLflow 3.0, PyTorch, Snowflake Data Science Agent and ...
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Storm surge predictions get a boost from hybrid wind field and machine learning modelsCredit: Journal of Geophysical Research: Machine Learning and Computation (2025). DOI: 10.1029/2024JH000507 The ML models predict storm surge of "Lekima 1909" with lead time of 6, 12 and 18h.
In the world of particle physics, where scientists unravel the mysteries of the universe, artificial intelligence (AI) and ...
A machine-learning model developed in this study was able to predict 24-hour peaks for intraocular pressure (IOP). News. All News Press Releases Product Approvals and Launches. Video.
A machine-learning model produced 46,644 estimated scores on a disability scale from 3,404 scores. Application could increase study volunteers and create potential for a tool to tailor treatment ...
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