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 ...

Abhijeet Sudhakar develops efficient Mamba model training for machine learning, improving sequence modelling and ...

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 ...

What are “complex systems” in this context? These are noncomputer systems, such as a company’s supply chain. A system is “complex” when it has so many variables and interacting forces that it can’t be ...

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 ...

Calvin Hennick is a freelance journalist who specializes in business and technology writing. He is a contributor to the CDW family of technology magazines. NASA has more programs today than at any ...

Model-based systems engineering is widely used when designing complex systems, but the question remains of when is it right for your project or system. Model-based system engineering is widely used by ...

This research introduces a novel approach to uncovering structural variables in complex systems, reshaping how we model the unpredictable behaviour of the real world Connected puzzle pieces (Courtesy: ...