Machine learning pioneer Hao Zhang, who made billions for Two Sigma, plans to launch Hippocampus Capital Management in early ...

Northwestern Engineering faculty and students participated in the annual forum for advances in theory, empirics, and ...

In a new study, published July 18 in the high impact journal Science Advances, Western engineering professor Bing Li and his ...

Achieving high efficiency, long operational lifetime, and excellent color purity is essential for organic light-emitting ...

Machine learning is an integral part of high-stakes decision-making in a broad swath of human-computer interactions. You ...

At the forefront of discovery, where cutting-edge scientific questions are tackled, we often don't have much data. Conversely ...

Magnetic materials are in high demand. They're essential to the energy storage innovations on which electrification depends ...

Ning Lin explains how reinforcement learning methods could help mitigate climate risk, despite uncertainty in climate change risk forecasts.

To build the proposed model, CheXNet deep pre-trained model and hybrid handcrafted techniques were applied to extract features, two different methods: Principal Component Analysis (PCA) and Recursive ...

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...

Machine learning (ML) tools have revolutionized protein structure prediction, engineering, and design, but the best ML tool is only as good as the training data it learns from. To obtain high-quality ...