Nature

A novel multi-task machine learning classifier for rare disease patterning using cardiac strain imaging data

To provide accurate predictions, current machine learning-based solutions require large, manually labeled training datasets. We implement persistent homology (PH), a topological tool for studying the ...
Nature

Detecting complex-energy braiding topology in a dissipative atomic simulator with transformer-based geometric tomography

Machine learning (ML), an effective data-driven approach in artificial intelligence, is transforming the study of topological matter by enabling automated analysis of complex quantum systems 1,2,3,4,5 ...
EurekAlert!

AI surpasses mathematical limits to decode the mysteries of non-Hermitian topology

Non-zero energy exchange with the environment can transform originally Hermitian systems into non-Hermitian ones. Beyond introducing complexity into the energy spectrum, non-Hermiticity can also ...