PNAS

Sparse identification of nonlinear dynamics and Koopman operators with Shallow Recurrent Decoder Networks

We present sparse identification of nonlinear dynamics with shallow recurrent decoders (SINDy-SHRED), which jointly solves the sensing, model reduction and model identification problem with simple ...
eLife

Movie reconstruction from mouse visual cortex activity

This valuable study uses state-of-the-art neural encoding and video reconstruction methods to achieve a substantial improvement in video reconstruction quality from mouse neural data. It provides a ...
The Lancet

An intelligent composite model incorporating global / regional X-rays and clinical parameters to predict progressive adolescent idiopathic scoliosis curvatures and facilitate ...

aDepartment of Orthopaedics and Traumatology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, China bDepartment of Orthopaedics and Traumatology, Tuen Mun Hospital, Hong Kong, China ...
C&EN

Deep Learning for Reconstructing Low-Quality FTIR and Raman Spectra─A Case Study in Microplastic Analyses

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Herein we report on a deep-learning method for the removal of instrumental noise and ...
C&EN

Generative Adversarial Networks for Crystal Structure Prediction

Chemical Physics Theory Group, Department of Chemistry and Department of Computer Science, University of Toronto, Toronto, Ontario M55S 3H6, Canada Vector Institute for Artificial Intelligence, ...