Recent advances in computer vision and machine learning underpin a collection of
algorithms with an impressive ability to decipher the content of images. These deep learning …

Data‐driven science is heralded as a new paradigm in materials science. In this field, data is
the new resource, and knowledge is extracted from materials datasets that are too big or …

We report multiple lines of evidence for a stochastic signal that is correlated among 67
pulsars from the 15 yr pulsar timing data set collected by the North American Nanohertz …

We present observations and timing analyses of 68 millisecond pulsars (MSPs) comprising
the 15 yr data set of the North American Nanohertz Observatory for Gravitational Waves …

The first few 100 Myr at z> 10 mark the last major uncharted epoch in the history of the
universe, where only a single galaxy (GN-z11 at z≈ 11) is currently spectroscopically …

PyMC is a probabilistic programming library for Python that provides tools for constructing
and fitting Bayesian models. It offers an intuitive, readable syntax that is close to the natural …

We update the capabilities of the open-knowledge software instrument Modules for
Experiments in Stellar Astrophysics (MESA). The new auto _ diff module implements …

AutoDock Vina is arguably one of the fastest and most widely used open-source programs
for molecular docking. However, compared to other programs in the AutoDock Suite, it lacks …

We report on Bayesian estimation of the radius, mass, and hot surface regions of the
massive millisecond pulsar PSR J0740+ 6620, conditional on pulse-profile modeling of …

A principal challenge in the analysis of tissue imaging data is cell segmentation—the task of
identifying the precise boundary of every cell in an image. To address this problem we …