There has been growing interest in the adoption of complex systems approaches to tackle major public health challenges such ...
Kinetic theory and mathematical modeling have emerged as indispensable tools for elucidating the collective behaviour of complex systems. This discipline applies statistical mechanics to a diverse ...
In fields ranging from immunology and ecology to economics and thermodynamics, multi-scale complex systems are ubiquitous. They are also notoriously difficult to model. Conventional approaches take ...
A team led by Academician GUO Guangcan from the University of Science and Technology of China (USTC) of the Chinese Academy of Sciences (CAS), with collaborative efforts from the University of ...
Researchers used large language models to efficiently detect anomalies in time-series data, without the need for costly and cumbersome training steps. This method could someday help alert technicians ...
Modelers have demonstrated that artificial intelligence (AI) models can produce climate simulations with more efficiency than ...