Calculations show that injecting randomness into a quantum neural network could help it determine properties of quantum ...

Ixana's Wi-R network could help smart glasses stream more reliably to other connected wearables. After seeing a few demos at ...

Neuroscientists have long listened to the brain’s electrical spikes, but those loud crackles are only the final output of a ...

This repo is a fork of chemprop. We apply a set of Bayesian methods to the chemprop directed message passing neural network (D-MPNN). We assess predictive accuracy, calibration and performance on a ...

The final, formatted version of the article will be published soon. In social networks the pattern of ties governs how information, influence, and opportunities circulate. Explaining these flows often ...

The prediction of the properties of crystal materials has always been a core issue in materials science and solid-state physics. With the rapid development of computer simulation techniques and ...

Abstract: Graph Neural Networks (GNNs) exhibit satisfactory performance on homophilic networks, where most edges connect two nodes with the same label. However, their effectiveness diminishes as the ...

One thing that has been missing from the Buffalo Bills' offense this season is big plays in the passing game. According to Next Gen Stats, quarterback Josh Allen is averaging five air yards per ...

Any problems or questions then please get in touch by opening an issue if related to the code, or for more general enquiries contact my email. We present a machine learning approach capable of ...

Reproductive toxicity is a concern critical to human health and chemical safety assessment. Recently, the U.S. Food and Drug Administration announced plans to assess toxicity with artificial ...

State Key Laboratory of Fine Chemicals, Frontiers Science Center for Smart Materials Oriented Chemical Engineering, Department of Pharmaceutical Sciences, Institute of Chemical Process Systems ...