AlphaGalileo

Machine Learning Prediction of CO2 Diffusion in Brine: Model Development and Salinity Influence Under Reservoir Conditions

A new study published in Applied Sciences (MDPI) demonstrates how artificial intelligence can accurately predict carbon ...
IEEE

Test-Time Adaptation Improves Inverse Problem Solving With Patch-Based Diffusion Models

Abstract: Diffusion models have achieved excellent success in solving inverse problems due to their ability to learn strong image priors, but existing approaches require a large training dataset of ...

Ant Group explores AI inference framework that is 10 times faster than Nvidia’s solution

New framework for diffusion language models highlights China’s focus on algorithmic breakthroughs to bridge the gap with AI ...
IEEE

ExDiffusion: Classifier-Guidance Diffusion Model for Extreme Load Scenario Generation With Extreme Value Theory

Abstract: Extreme load scenario generation is essential for power system planning and security assessment. However, the challenges of limited data and complex external features in extreme events make ...