IEEE

Physics-embedded variational autoencoder with diffusion-based uncertainty estimation for trustworthy fault diagnosis

Abstract: Effective fault diagnosis for industrial robots is imperative to improve their reliability and availability in safety-critical applications. Proprioceptive signals from servo drive systems ...
technologynetworks

Multiomics Data Integration With Machine Learning: Methods, Tools, and Biological Applications

Multiomics data integration with machine learning has become the standard approach for combining genomic, transcriptomic, proteomic, and metabolomic measurements collected from the same biological ...
technologynetworks

Single-Cell RNA-Seq Data Analysis With AI: Tools, Workflows, and Biological Interpretation

Single-cell RNA-seq AI analysis has become the default way to make sense of the millions of expression measurements a single experiment can now generate. Turning raw sequencing counts into ...
Tech Xplore

Ferroelectric memory enables one chip to sample randomness and compute for generative AI

For the first time, a research team has demonstrated an artificial intelligence semiconductor technology that integrates the ...
IEEE

Deep Learning-Driven Autoencoder Models for Robust Underwater Acoustic Communication: A Survey on DCAEs, VAEs, Adaptive Modulation

Abstract: Undersea acoustic communication (UWAC) is crucial for marine applications such environmental monitoring, defense, and undersea exploration. However, it faces challenges like as multipath ...