(For more background, check out our first flowchart on "What is AI?" here.) Machine-learning algorithms use ... a final result in the form of the prediction. Neural networks were vaguely inspired ...

In a recent analysis, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and collaborator William Gilpin reported that one ...

Filling gaps in data sets or identifying outliers—that's the domain of the machine learning algorithm TabPFN ... therefore more likely to make correct predictions than the standard algorithms ...

A better signal for an incoming earthquake is needed if prediction will ever become reality. Using machine learning to find such a signal is likely a long way off—if it’s even possible.

Professor Christopher Kadlec commented, "Our team's work not only pushes the boundaries of earthquake prediction but also sets the stage for future advancements in applying machine learning to ...

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 ...