Neutron star merger simulations gain new precision with AI-driven r-process heating

Using a novel simulation model based on machine learning, an international research team at GSI/FAIR has succeeded in gaining a deeper understanding of element formation in stellar events such as ...

The weather and climate science AI revolution isn’t revolutionary

But AI is being used in these fields through techniques that researchers have studied for years and whose strengths and ...
IEEE

DP-Norm: Differential Privacy Primal-Dual Algorithm for Decentralized Federated Learning

Abstract: A novel algorithm is proposed for highly privacy-preserving decentralized federated learning (FL). Several studies have reported security risks in decentralized FL by reconstructing data ...
IEEE

Machine Learning-Based Load Balancing Algorithms in Future Heterogeneous Networks: A Survey

Abstract: The massive growth of mobile users and the essential need for high communication service quality necessitate the deployment of ultra-dense heterogeneous networks (HetNets) consisting of ...