This code aims at quantifying the uncertainty of mooring line fault detection predictions using a multivariate Gaussian mixture variational autoencoder. The scripts included in this code encompass ...

Rose Yu has drawn on the principles of fluid dynamics to improve deep learning systems that predict traffic, model the ...

An 1898 Supreme Court decision cemented the concept of birthright citizenship for children born in the U.S. to non-citizen parents. CBS News Bay Area's Kevin Ko spoke with the great-grandson of the ...

In a new Yale-led study, published in Arthritis Research & Therapy, researchers used a type of AI technology called deep neural network (DNN) analysis to decipher skin involvement and treatment ...

Brain-inspired spiking neural networks bring real-time AI to edge devices, boosting performance, reducing power use, and ...

In a study published in Nature Communications, researchers at the University of Wisconsin–Madison introduced a deep learning method capable of automatically identifying transition states in protein ...

Can machines ever see the world as we see it? Researchers have uncovered compelling evidence that vision transformers (ViTs), ...

Neurosymbolic AI combines the learning of LLMs with teaching the machine formal rules that should make them more reliable and ...

To address these issues, this article develops a new deep autoencoder-based augmented network (DAAN). The proposed DAAN employs the multilinear mixture model (MLMM) to handle the nonlinear influence ...

NEW DELHI: The Enforcement Directorate Friday claimed to have unearthed a "deep-rooted" and systemic "corruption" network involving several consultants across key departments of the Tamil Nadu ...