In a future perhaps not too far away, artificial intelligence and its subfield of machine learning (ML) tools and models, ...
Nguyen Xuan Long, a globally recognized expert in statistical inference and machine learning currently based in the United ...
In a recent paper, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and co-author William Gilpin show that a deceptively ...
Researchers at The University of Manchester have created a physics‑informed machine‑learning model that can run molecular simulations for unprecedented lengths of time, even at temperatures as high as ...
In International Journal of Extreme Manufacturing, researchers at the University of Science and Technology Beijing developed ...
In a paper just out in Nature Synthesis, researchers led by Prof. Timothy Noël of the University of Amsterdam's Van 't Hoff ...
A new study published in Genome Research presents an interpretable artificial intelligence framework that improves both the accuracy and transparency of genomic prediction, a key challenge in fields ...
Liquid chromatography-mass spectrometry (LC-MS) was used to perform comprehensive, nontargeted metabolomic profiling on serum ...