Using an advanced Monte Carlo method, Caltech researchers found a way to tame the infinite complexity of Feynman diagrams and ...

Researchers are using machine learning, symbolic regression, and high-performance computing to explore and classify string ...

Bet365 had a breakthrough by combining metadata tagging and GraphRAG to give gen AI the all-important context it needed.

Magnetic materials are in high demand. They're essential to the energy storage innovations on which electrification depends ...

In this paper, we explore the applications of graph theory and known graph algorithms for system design (and SoS design), optimization techniques, complexity measures, and novel graph algorithms for ...

Algebraic graph theory is a cornerstone in the study of electrical networks ranging from miniature integrated circuits to continental-scale power systems. Conversely, many fundamental results of ...

Complexity physics finds crucial tipping points in chess games Physicist used interaction graphs to show how pieces attack and defend to analyze 20,000 top matches.

Mathematicians have long sought to develop algorithms that can compare any two graphs. In practice, many ...

Researchers introduced the "Diagram of Thought" (DoT) framework, enhancing large language models' reasoning through a ...

He observed, “My field of computer science, the theory of computation and complexity theory, is one of the most exciting intellectual fields in existence. It’s very diverse, and it’s connected to lots ...