Keeping long-term climate simulations stable and accurate with a new AI approach

Hybrid climate modeling has emerged as an effective way to reduce the computational costs associated with cloud-resolving ...
Communications of the ACMOpinion

When AI Tools Train on AI Output: Model Collapse in Daily Workflows

The degradation is subtle but cumulative. Tools that release frequent updates while training on datasets polluted with ...

AI model reads brain MRIs in seconds, hitting up to 97.5% accuracy

An AI-powered model developed at the University of Michigan can read a brain MRI and diagnose a person in seconds, a study suggests. The model detected neurological conditions with up to 97.5% ...
Nature

Open-source AI tool beats giant LLMs in literature reviews — and gets citations right

Researchers have published the recipe for an artificial-intelligence model that reviews the scientific literature better than ...
IEEE

A Prototype-Aware Learning and Dual-View Regularization Network for Weakly Supervised Change Detection in VHR Remote Sensing Images

Abstract: The change detection (CD) is a critical task for monitoring the spatiotemporal evolution of the Earth’s surface. Recently, due to the advantages of reduced annotation cost and improved ...
IEEE

Proximal Policy Optimization with Entropy Regularization

Abstract: This study provides a revision to the Proximal Policy Optimization (PPO) algorithm, primarily aimed at improving the stability of PPO during the training process while maintaining a balance ...