For the past six years, Los Alamos National Laboratory has led the world in trying to understand one of the most frustrating barriers that faces variational quantum computing: the barren plateau.

Deep generative models such as the generative adversarial network (GAN) and the variational autoencoder (VAE) have obtained increasing attention in a wide variety of applications. Nevertheless, the ...

Sharper Shape, a global leader in utility asset intelligence and grid resiliency software, has been named the winner of the Data Visualization Solution of the Year award in the 2025 AI Breakthrough ...

To speed up the optimization process, we transform the corresponding problem into a lower-dimensional latent space learned by a variational autoencoder. This is trained on a total of 6839 different 2D ...

Discover the latest Architecture news and projects on Architectural Visualization at ArchDaily, the world's largest architecture website. Stay up-to-date with articles and updates on the newest ...

In an analysis of 654 presentations on acquisitions, two professors found one factor that stood out: whether a compelling visualization of the strategic rationale for the deal was included.

Variational Feature Extraction Demo About This demo contains an isoline extraction on the earth mantle dataset and a critical line extraction in the ocean data set as shown in our paper.

To overcome the pitfalls of sample size and dimensionality, this study employed variational autoencoder (VAE), which is a dynamic framework for unsupervised learning in recent years.

To address these challenges, we propose a Noise-Consistent hypeRgraph AutoEncoder framework with denoising strategies, termed NCRAE, aimed at achieving robust node embeddings in ceRNA regulatory ...