The era of predictive modeling enhanced with machine learning and artificial intelligence (AI) to aid clinical ...

One computer scientist’s “stunning” proof is the first progress in 50 years on one of the most famous questions in computer ...

In this article, we focus on the scalable distributed data-driven state estimation problem using Gaussian processes (GPs). The framework includes two parts: 1) the data-driven training approach and 2) ...

We present a high-throughput, end-to-end pipeline for organic crystal structure prediction (CSP)─the problem of identifying the stable crystal structures that will form from a given molecule based ...

In recent years, the huge expansion of digital technologies has vastly increased the volume of data to be explored, such that reducing the dimensionality of data is an essential step in data ...

Algorithms implemented in the Data Structures and Algorithm Complexity discipline.