Author

L. Horesh

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#artificial intelligence Nov 2025

When is a System Discoverable from Data? Discovery Requires Chaos

The deep learning revolution has enabled major AI advances in physical sciences, particularly in discovering dynamical systems from observational data. Yet the reliability of learned surrogates and symbolically discovered models is often undermined by non-uniqueness: models may fit observed trajectories perfectly, but...

Zakhar Shumaylov, P. Zaika, Philipp Scholl et al. · arXiv.org · 11 citations · ⚡1

Open access Sep 2026

AI-Based Synthetic Data in Biomedicine: A Decade of Growth and a Persistent Translation Gap

AI-generated synthetic data are increasingly used to address data scarcity, privacy constraints and experimental limitations in biomedicine, but how far these methods have translated into practice remains unclear. We conducted a systematic mapping and bibliometric analysis of 4,143 publications spanning 2015-2025, comb...

N. Asgari, I. Perez, G. Epelde et al. · medRxiv · 0 citations