I'e very excited about our AI latest paper, which shows that an architecture radically different from standard neural network achieves much better accuracy with fewer parameters for interesting physics and math problems. arXiv:2402.05110

The one-page math paper (with two references) that won John Nash the Nobel

New pre-print by Aria w Joseph Lizier:
'A feature-based information-theoretic approach for detecting interpretable, long-timescale pairwise interactions from time series'
Introduces a new method: uses features to infer time-series interactions
arxiv.org/abs/2404.05929