Deep neural networks (DNNs) have become a cornerstone of modern AI technology, driving a thriving field of research in ...
A new artificial intelligence (AI) method called BioPathNet helps researchers systematically search large biological data ...
New research from the University of St Andrews, the University of Copenhagen and Drexel University has developed AI ...
Researchers at TU Wien are developing a model that interprets opinions not as diametrically opposed poles, but as overlapping ...
Abstract: The study presents the application of Artificial Neural Networks (ANNs) for pattern recognition, modeling, and analyzing their performance using MATLAB. Two neural architectures are compared ...
U.S. Bancorp is testing its own stablecoin on the public blockchain Stellar as part of a broader push into digital assets, according to the Minneapolis-based financial institution. The bank joins a ...
Abstract: This paper introduces two novel class-specific fuzzy clustering algorithms: Mean-based Supervised Clustering (MSC) and Density-based Mean Supervised Clustering (DMSC). These algorithms are ...
Total Organic Carbon (TOC) is a fundamental parameter for evaluating source rock quality, yet the strong heterogeneity of the Qiongzhusi Formation shale reservoir in the Sichuan Basin severely limits ...
Dario Amodei, the C.E.O. of the artificial-intelligence company Anthropic, has been predicting that an A.I. “smarter than a Nobel Prize winner” in such fields as biology, math, engineering, and ...
Background and purpose: Electrospun biomaterials replicate the structural complexity of the extracellular matrix (ECM), providing mechanical support and promoting neural cell survival and organization ...
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