Gift from Thomas and Susan Dunn supports creation of the Bike Shop @UChicago, which aims to shape AI development and build ...

After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, researchers organized them into a 'periodic table of machine learning' that can help scientists ...

One of the current hot research topics is the combination of two of the most recent technological breakthroughs: machine learning and quantum computing. An experimental study shows that already ...

Neel Somani has built a career that sits at the intersection of theory and practice. His work spans formal methods, mac ...

The workflow encompasses patient datacollection and screening, univariate regression analysis for initial variable selection, systematic comparison of 91 machine learning models,selection and ...

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 ...

This course covers three major algorithmic topics in machine learning. Half of the course is devoted to reinforcement learning with the focus on the policy gradient and deep Q-network algorithms. The ...

A mother's health during pregnancy, childbirth and the postpartum period is the foundation of lifelong well-being, directly ...

A smartwatch used a machine learning algorithm to detect social interactions through sounds in the environment. This ...