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 ...

Discover how Markov chains predict real systems, from Ulam and von Neumann’s Monte Carlo to PageRank, so you can grasp ...

New research shows that advances in technology could help make future supercomputers far more energy efficient. Neuromorphic computers are modeled after the structure of the human brain, and researche ...

In this new work, statistical mechanics is used to understand how different mathematical models "compete" when trying to explain a system. This matters because many scientific fields rely on ...

Neuromorphic computers, inspired by the architecture of the human brain, are proving surprisingly adept at solving complex ...

Complex systems such as metabolic pathways, ecosystems, the Internet, or human societies are comprised of large numbers of components that interact according to rules that change over time and that ...

You can probably think of a time when you’ve used math to solve an everyday problem, such as calculating a tip at a restaurant or determining the square footage of a room. But what role does math play ...

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 ...

A research team affiliated with UNIST has unveiled a novel AI system capable of grading and providing detailed feedback on even the most untidy handwritten math answers—much like a human instructor.

Overview: Large Language Models predict text; they do not truly calculate or verify math.High scores on known Datasets do not ...

Kinetic theory and mathematical modelling have emerged as pivotal tools in analysing complex systems – ranging from biological entities and social interactions to financial markets. These methods ...