This project demonstrates the use of a Variational AutoEncoder (VAE) to learn a latent space representation of simple synthetic data: black-and-white images of circles with varying radius, x, and y ...

Abstract: Transformer outages significantly impact the reliability and cost efficiency of power systems. Studies indicate that approximately 30% of transformer failures stem from issues with on-load ...

we propose a Hierarchical ST variational autoencoder (HiSTaR) to extract multi-level latent features of spots. HiSTaR tends to perform well in identifying spatial domains across multiple datasets from ...

Abstract: Intelligent music generation is a significant application of artificial intelligence. To better achieve the function of video background music generation, finer-grained control is necessary ...

VANCOUVER, BC / ACCESS Newswire / November 25, 2025 / Variational AI, a leading innovator in generative artificial intelligence for drug discovery, is making headlines in biotech with a bold mission: ...