An artificial intelligence (AI) machine-learning model has been developed that can predict the risk of early death in trauma ...

Ohio State medical student Brent Henderson's day begins with a virtual patient powered by artificial intelligence, which is a part of a training exercise designed to sharpen his interview skills.

Food scientists at the National University of Singapore (NUS) have used machine learning to sift through more than 2,300 ...

Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.

Chinese scientists have developed a machine learning-based typhoon rapid intensification forecasting model which has been ...

Machine learning models narrow down solutions in synthesis, compounding, product design, and more.

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Harnessing Innovative Technologies to Drive Cultural Mobility and Foster Global ExchangeHONG KONG SAR - Media OutReach ...

Abstract: Machine learning has been successfully applied to drug combination prediction in recent years. However, in some situations, the class imbalance problem still shows highly negative impacts on ...

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle collisions at the LHC. This new approach can reconstruct collisions more quickly ...

A freshman seminar encourages students to behave differently in the world and feel more passionately about biodiversity. Each Harvard University freshman in the “Tree” seminar must choose a single ...