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

Researchers at Shanghai University have developed a physics-constrained, data-efficient artificial intelligence framework ...

Digital Twin of the Ocean is a continuously updated virtual counterpart of the real ocean that exchanges data in real time ...

From a governance perspective, the use of explainable AI is particularly significant. Infrastructure decisions involve public ...

Network-wide traffic flow, which represents the dynamic traffic volumes on each link of a road network, is fundamental to smart cities. However, the ...

By training statistical and machine-learning models to predict expert visual scores, the study demonstrates that phenomics can match or outperform ...

New research suggests that the way brain networks reorganize moment-to-moment predicts autism severity. Children who spent ...

A new theoretical framework argues that the long-standing split between computational functionalism and biological naturalism misses how real brains actually compute.

Apple’s AI breakthrough is turning heads on Wall Street while SHARP signals a deeper shift toward software-driven innovation. Is AAPL a buy now?

The familiar fight between “mind as software” and “mind as biology” may be a false choice. This work proposes biological computationalism: the idea that brains compute, but not in the abstract, symbol ...

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

A new computational model of the brain based closely on its biology and physiology has not only learned a simple visual ...