The new pre-print research paper, out Tuesday, is a joint project between Truthful AI, an AI safety research group in ...

Researchers at the University of Southern California have made a significant breakthrough in understanding how the human ...

An artificial intelligence (AI) model can predict where ancient Latin texts come from, estimate how old they are and restore ...

Fan Wang and Shaoshan Liu introduce the concept of Environmental Embodied AI.

AI image generation—which relies on neural networks to create new images from a variety of inputs, including text prompts—is ...

Matthew Leming, Ph.D., and Hyungsoon Im, Ph.D. of the Center for Systems Biology at Massachusetts General Hospital, are the ...

Deep research’ AI agents combine large language models with sophisticated reasoning frameworks to conduct in-depth, ...

In recent years, clustering methods based on deep generative models have received great attention in various unsupervised applications, due to their capabilities for learning promising latent ...

We propose a Crystal Diffusion Variational Autoencoder (CDVAE) that captures the physical inductive bias of material stability. By learning from the data distribution of stable materials, the decoder ...

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 ...