Traditional hydrological models are increasingly being replaced or enhanced by data-driven approaches capable of learning ...

In recent years, machine learning (ML) algorithms have proved themselves to be remarkably useful in helping people deal with different tasks: data classification and clustering, pattern revealing ...

If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine ...

Through the machine learning processes of data processing, cross-validation, model fitting, hyperparameters tuning, and metrics evaluation, the results showed that the proposed simplified LSTM ...

Multi-target quantum compilation algorithm. Machine Learning: Science and Technology, 2024; 5 (4): 045057 DOI: 10.1088/2632-2153/ad9705 ...

New machine learning algorithm promises advances in computing Digital twin models may enhance future autonomous systems Date: May 9, 2024 Source: Ohio State University Summary: Systems controlled ...

COLUMBUS, Ohio – Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests. Using machine learning ...