Recently, there has been convergence of thought by researchers in the fields of memory, perception, and neurology that the ...
Deep neural networks (DNNs) have become a cornerstone of modern AI technology, driving a thriving field of research in ...
The 2024 Nobel Prize in Chemistry was recently granted to David Baker, Demis Hassabis and John M. Jumper, renowned for their pioneering works in protein design.
Every medication in your cabinet, every material in your phone's battery, and virtually every compound that makes modern life work started as a molecular guess, with scientists hypothesizing that a ...
Abstract: A novel method for antenna far-field (FF) pattern reconstruction using sparse spherical near-field (SNF) measurements is presented. A conditional generative adversarial network (CGAN) is ...
SM-GNN prunes multi-view GNNs to pure propagation, cutting training time while outperforming prior MKGC accuracies on two ...
New research from the University of St Andrews, the University of Copenhagen and Drexel University has developed AI ...
In a Nature Communications study, researchers from China have developed an error-aware probabilistic update (EaPU) method ...
Abstract: This work proposes a physics-constrained neural network (PCNN) method for automated and physically consistent compact modeling of semiconductor devices. Traditional ANN-based approaches ...
ABSTRACT: Multiple reflections in seismic exploration data severely degrade subsurface imaging accuracy and interpretation reliability. Traditional multiple attenuation methods exhibit limited ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results