A relatively simple statistical analysis method can more accurately predict the risk of landslides caused by heavy rain, ...
As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...
As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...
Many investors are still learning about the various metrics that can be useful when analysing a stock. This article ...
Dinosaur skeletons often dominate museum halls, from the towering Tyrannosaurus rex known as Sue in Chicago to Sophie the ...
Material objects communicate in a way that’s fundamentally different from everything else,” the artist says. “They tell you ...
Background Aortic valve calcification (AVC) is a disease process driven by inflammation and lipid infiltration, serving as a ...
Integrating deep learning in optical microscopy enhances image analysis, overcoming traditional limitations and improving classification and segmentation tasks.
The visit of the Spanish Navy frigate F-102 Almirante Juan de Borbón to Stockholm provided Navantia with an opportunity to ...
MSCI Inc. (NYSE: MSCI) announced today the launch of a consultation on a proposal for the potential reclassification of Greece from Emerging Market status to Developed Market status in one step, with ...
Zinc doping enables visible-light programming of ferroelectric memristors for neuromorphic computing
Adding zinc ions to lithium niobate crystals cuts the energy needed for polarization switching by 69%, enabling visible-light programming of memristors for brain-inspired computing.
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