Simulation modelling has emerged as a vital tool for understanding and managing the inherent complexity of numerous systems, from healthcare and manufacturing to logistics and business operations. By ...

Scientists have made a significant advancement with quantum technologies that could transform complex systems modelling with an accurate and effective approach that requires significantly re-duced ...

Modeling complex systems When studying complex biological systems such as the immune system, scientists can extract many different types of data. Sequencing cell genomes tells them which gene variants ...

Engineer and applied mathematician Ioannis Kevrekidis has developed computer models that aided scientists in studies of how clusters of neurons synchronize, the swarming patterns of insects, the ...

Objectives There have been recent calls for the application of the complex systems approach in sports injury research. However, beyond theoretical description and static models of complexity, little ...

Artificial intelligence systems based on neural networks—such as ChatGPT, Claude, DeepSeek or Gemini—are extraordinarily ...

Researchers use statistical physics and "toy models" to explain how neural networks avoid overfitting and stabilize learning in high-dimensional spaces.

Correspondence to Dr ST Fonseca, Graduate Program in Rehabilitation Science, Physical Therapy Department, Universidade Federal de Minas Gerais, Minas Gerais, Avenida Presidênte Antônio Carlos, ...

As President Barack Obama rightly noted in one of his first directives, his "highest priority is to keep the American people safe."[1] Addressing homeland security challenges effectively requires ...