AI identifies new particle models that may explain neutrinos' tiny mass

Physicists at the University of California, Irvine, have developed an artificial intelligence system that can autonomously ...

Study compares machine learning models of raindrop formation

Raindrops form inside clouds when tiny particles of water collide and stick together, forming larger droplets that eventually ...
GitHub

RLinf: Reinforcement Learning Infrastructure for Embodied and Agentic AI

RLinf is a flexible and scalable open-source RL infrastructure designed for Embodied and Agentic AI. The 'inf' in RLinf stands for Infrastructure, highlighting its role as a robust backbone for ...
IEEE

Graphic Deep Reinforcement Learning for Dynamic Resource Allocation in Space-Air-Ground Integrated Networks

Abstract: Space-Air-Ground integrated network (SAGIN) is a crucial component of the 6G, enabling global and seamless communication coverage. This multi-layered communication system integrates space, ...
IEEE

A Blockchain-Enabled Cold Start Aggregation Scheme for Federated Reinforcement Learning-Based Task Offloading in Zero Trust LEO Satellite Networks

Abstract: The development of 6G enable users in remote and harsh areas to enjoy computation-intensive services including metaverse entertainment, intelligent transportation, and immersive ...