Ultrafiltration membranes used in pharmaceutical manufacturing and other industrial processes have long relied on separating ...
Researchers have developed a powerful new software toolbox that allows realistic brain models to be trained directly on data.
Objective: We sought to use artificial intelligence (AI) to develop and test calculators to predict spontaneous stone passage (SSP) using radiographical and clinical data. Methods: Consecutive ...
This study investigates to what extent second language production (L2) and translational production are influenced by cognitive constraints due to their bilingual processing. Compared with monolingual ...
VENICE – A team of researchers led by Niccolò Maffezzoli, “Marie Curie” fellow at Ca’ Foscari University of Venice and the University of California, Irvine, and an associate member of the Institute of ...
High-entropy alloy materials demonstrate exceptional catalytic properties due to their distinctive multi-component attributes and electronic effects. Nonetheless, the extensive data landscape of ...
One of the best ways to reduce your vulnerability to data theft or privacy invasions when using large language model artificial intelligence or machine learning, is to run the model locally. Depending ...
Cavendish Laboratory, Department of Physics, University of Cambridge, J. J. Thomson Avenue, Cambridge CB3 0HE, U.K. ISIS Neutron and Muon Source, STFC Rutherford Appleton Laboratory, Harwell Science ...
ABSTRACT: This study evaluates the performance and reliability of a vision transformer (ViT) compared to convolutional neural networks (CNNs) using the ResNet50 model in classifying lung cancer from ...
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