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 ...

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

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 ...

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

Abstract: Variational Autoencoders (VAEs) are at the forefront of generative model research, combining probabilistic theory with neural networks to learn intricate data structures and synthesize ...

This repository contains training and inference scripts for the Descript Audio Codec VAE variant (.dac-vae), a modified version of the original DAC that replaces the RVQGAN architecture with a ...

PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different ...

Jomo Kenyatta University of Agriculture and Technology, Juja, Kiambu County, Kenya. Where KL denotes the Kullback-Leibler divergence, and p(z) is a prior distribution over the latent space (typically ...