The field of computational materials science has been profoundly transformed by integrating deep learning and other machine learning methodologies. These sophisticated data-driven approaches have ...
Biological cells process data and perform computations all the time. They take inputs in the form of external stimuli and produce specific responses. Recently, scientists have been looking at ways to ...
Scientists may now be one step closer to understanding the inner logic of artificial intelligence (AI) models used for genomics thanks to a new tool from a group at Simons Center for Quantitative ...
SUNNYVALE, Calif.--(BUSINESS WIRE)--NTT Research, Inc., a division of NTT (TYO:9432), today announced that its Physics & Informatics (PHI) Lab continues to advance basic scientific knowledge in the ...
Neural networks are learning algorithms that approximate the solution to a task by training with available data. However, it is usually unclear how exactly they accomplish this. Two young Basel ...
A new accelerator chip called 'Hiddenite' that can achieve state-of-the-art accuracy in the calculation of sparse 'hidden neural networks' with lower computational burdens has now been developed. By ...
The era has arrived in which artificial intelligence (AI) autonomously imagines and predicts the structures and properties of ...
A new AI model accurately predicts gas adsorption in metalorganic frameworks and explains its results, offering faster, ...
This valuable study uses EEG and computational modeling to investigate hemispheric oscillatory asymmetries in unilateral spatial neglect. The work benefits from rare patient data and a careful ...
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