Researchers at Los Alamos National Laboratory have developed a new approach that addresses the limitations of generative AI ...

While the capabilities of robots have improved significantly over the past decades, they are not always able to reliably and ...

A research team affiliated with UNIST has reported a new simulation tool to better understand how liquid-phase chemical ...

Uncover how an AI system developed at KAIST optimizes injection moulding processes and transfers critical knowledge to ...

Abstract: Diffusion-based image synthesis models have gained a lot of traction in recent years. However, a notable observation is that when trained on smaller datasets, diffusion models tend to ...

SVG Autoencoder - Uses a frozen representation encoder with a residual branch to compensate the information loss and a learned convolutional decoder to transfer the SVG latent space to pixel space.

The National Oceanic and Atmospheric Administration (NOAA) is launching three new AI-driven global weather prediction models designed to significantly advance forecast speed, efficiency and accuracy.

This repository contains the complete codebase for training and evaluating energy-based diffusion models for molecular dynamics simulations. Our approach enables a single model to perform both ...

NVIDIA is breaking from standard AI architecture with the launch of its Nemotron 3 family, introducing a hybrid design that combines Mamba-2 state-space models with traditional Transformers to slash ...

Abstract: Deep generative models, particularly diffusion probabilistic models, have recently shown promise in medical ultrasound image segmentation due to their powerful denoising and detail ...