Machine learning helps solve a central problem of quantum chemistry

By applying new methods of machine learning to quantum chemistry research, Heidelberg University scientists have made significant strides in computational chemistry. They have achieved a major ...
IEEE

Advanced Prognostics and Health Management for Distributed Plasma Control Systems: A Stochastic Timed Colored Petri Net and Machine Learning-Based Approach

Abstract: The LingShu plasma control system (PCS) is a distributed, real-time control system designed for tokamak control, featuring a modular architecture and adaptability to heterogeneous hardware.
IEEE

Improved Distributed Backdoor Attacks in Federated Learning by Density-Adaptive Data Poisoning and Projection-Based Gradient Updating

Abstract: While federated learning enables collaborative model training with preserved data locality, it remains vulnerable to evolving backdoor attacks that exploit its distributed architecture.