Read more about AI breakthroughs transform medical imaging, paving way for earlier diagnosis and better care on Devdiscourse ...
Overall, the application of the Variational Autoencoder not only enhances the analytical capabilities of quantum simulations but also offers new perspectives for understanding the physical properties ...
Penny Liang's book, "Understanding Large Models for Humanities Students (1.0)," explains the core technologies of large ...
ICS are particularly vulnerable because they often rely on legacy systems, lack strong authentication, and cannot tolerate ...
Accurate measurement of time-varying systematic risk exposures is essential for robust financial risk management.
Abstract: Masked Autoencoder (MAE) has shown remarkable potential in self-supervised representation learning for 3D point clouds. However, these methods primarily rely on point-level or low-level ...
Abstract: This article proposes a new underwater thruster fault detection and identification method based on adversarial variational autoencoder (AdvVAE). Adversarial training and variational ...
We introduce ACE-Step, a novel open-source foundation model for music generation that overcomes key limitations of existing approaches and achieves state-of-the-art performance through a holistic ...
The integrative analysis of histopathological images and genomic data has received increasing attention for survival prediction of human cancers. However, the existing studies always hold the ...
Recent advances in high-throughput microbiome profiling have generated expansive data sets that offer unprecedented ...
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