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C&EN9h
Machine learning helps improve accuracy and efficiency of small-molecule calculations
Density functional theory is a widely used computer-based quantum mechanical method for calculating properties of atoms, ...
Tech Xplore12h
Bilinear sequence regression model shows why AI excels at learning from word sequences
Researchers at EPFL have created a mathematical model that helps explain how breaking language into sequences makes modern AI ...
Machine learning modeling assists intelligent process analysis for high-performance virus filtration
A research team led by Prof. Wan Yinhua from the Institute of Process Engineering (IPE) of the Chinese Academy of Sciences ...
AZoOptics on MSN1d
Light-Based AI Processing Achieved in Fiber Optics
Researchers demonstrate a novel optical extreme learning machine using laser light in fibers, achieving over 91% accuracy in ...
IEEE2d
A Novel Machine Learning-Based Power Trading Algorithm (MLPTA) for Demand Side Management (DSM)
Machine Learning Algorithms provide best solution to such power trading scenarios. In this research work, we develop a Machine Learning-Based Power Trading Algorithm (MLPTA) for an efficient prosumers ...