Best AI audio and music making tools

AI music generators are democratizing sound creation—cutting costs, boosting creativity, and helping anyone compose ...
TechNode

Kling AI lowers barriers to making AI-powered content creation more accessible

In 2025, as short videos and digital art continue to thrive, a Chinese AI tool, Kling AI, is reshaping the content creation ...
Gala

Julie Zenatti : son ex Patrick Fiori, ses enfants Ava et Elias… Que sait-on de sa vie privée

À 44 ans, Julie Zenatti cumule les succès musicaux. Mais la chanteuse est également mère de deux enfants et mariée depuis de nombreuses années. Ce qu’il faut savoir sur sa vie privée. Pour la fin de ...
GitHub

Paper Reproduction: Demonstrating the Superiority of QBM-VAE( VS VAE)

Replace the VAE algorithm in the paper《Design of diverse, functional mitochondrial targeting sequences across eukaryotic organisms using variational autoencoder》with the QBM-VAE algorithm, ...
Frontiers

VAE deep learning model with domain adaptation, transfer learning and harmonization for diagnostic classification from multi-site neuroimaging data

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 ...
Pineandlakes

Vae Kaiser

After 96 years of a life well lived, Vae passed peacefully on September 2nd, surrounded by her loving daughters and devoted husband of 75 years. Heaven now has an angel that we will miss with all our ...
C&EN

Mathematical Modeling of Aβ-42 Dimerization Dynamics: Integrating Physics-Based Simulations, Graph-Based Variational Autoencoder-Driven Neural Relational Inference, and Chaos ...

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

Prior Distribution Guided Gaussian Mixture Variational Autoencoder (PDGM-VAE) for Image Generation

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 ...
Frontiers

VAE deep learning model with domain adaptation, transfer learning and harmonization for diagnostic classification from multi-site neuroimaging data

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

Conditional Generative Flow-Induced Variational Autoencoder for Plasma Instances Augmentation

Abstract: In this article, we propose a novel conditional generative flow-induced variational autoencoder (CGlow-VAE) model to address the critical challenge of the small sample issue in plasma ...