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 ...

Modeling is the first inevitable step in mathematical approaches to solving real-world problems. When dealing with phenomena whose governing laws are complicated and possibly unpredictable, such as ...

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 ...

Polymodeling provides a single specification that can be used throughout the process of algorithmic exploration, fixed-point optimization, and implementation verification. Learn how this approach can ...

Researchers at the University of Toronto have made a significant step towards enabling reliable predictions of complex dynamical systems when there are many uncertainties in the available data or ...

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 ...

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

Utilities worldwide are turning to artificial intelligence (AI) and machine learning to stabilize networks, forecast ...