A team of researchers from the University of South Africa has unveiled a new approach that could transform how financial institutions detect and prevent credit card fraud. Their research delivers a ...

Merck & Co. has doubled down on its partnership with Variational AI, striking a deal worth up to $349 million to collaborate on small molecule candidates against two targets. Variational disclosed a ...

Additional visualizations highlighting the comparison between the proposed two-stage AG-VQ-VAE network (without skip connections) and the single-stage AG-UNet (with skip connections) are presented.

1 Auburn University Neuroimaging Center, Department of Electrical and Computer Engineering, Auburn University, Auburn, United States 2 Athinoula A. Martinos Center for Biomedical Imaging, ...

In large public multi-site fMRI datasets, the sample characteristics, data acquisition methods, and MRI scanner models vary across sites and datasets. This non-neural variability obscures neural ...

This repository contains the implementation, benchmarks, and supporting tools for my MSc dissertation project: Self-learning Variational Autoencoder for EEG Artifact Removal (Key code only). Benchmark ...

Computational Biology and Molecular Simulations Laboratory, Department of Biophysics, School of Medicine, Bahçeşehir University, Istanbul 34349, Turkey Lab for Innovative Drugs (Lab4IND), ...

Abstract: Variational Autoencoder(VAE) combines the ideas of autoencoders and variational inference, introducing the concept of latent space and variational inference to endow autoencoders to generate ...

Chinese tech giant Alibaba has released Wan2.2, a major open-source update to its AI video generation models. Unveiled on July 28, the new series directly challenges paid rivals like OpenAI’s Sora and ...