Computational complexity and proof systems are fundamental areas in theoretical computer science that explore the limits of what can be computed and how efficiently problems can be solved. Recent ...

A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...

Computational chemistry has evolved into a cornerstone of modern chemical research, bridging stringent quantum mechanical principles with practical numerical simulations to predict and elucidate ...

Artificial intelligence (AI) is increasingly transforming computational mechanics, yet many AI-driven models remain limited by poor interpretability, weak generalization, and insufficient physical ...

Google researchers have discovered that AI reasoning models like DeepSeek-R1 and QwQ-32B simulate internal debates between ...

Emotions are a fundamental part of human psychology-a complex process that has long distinguished us from machines. Even advanced artificial intelligence (AI) lacks the capacity to feel. However, ...

Knowledge-based economies are increasingly built on data-driven intelligence rather than traditional capital or labor alone.

PENSACOLA, Fla. (WKRG) — The University of West Florida has been approved for a grant worth $32 million to build a center for computational intelligence that will be a hub for the development of ...

The built environment faces increasing pressures from climate change, resource limitations, and rapid urbanisation.

Data-driven approaches offer exceptional computational speed but suffer from limited interpretability and poor generalization outside training data. PINNs improve physical consistency by embedding ...