Machine Learning Helps Scientists Peer (a second) Into The Future
The past may be a fixed and immutable point, but with the help of machine learning, the future can at times be more easily divined. Using a new type of machine learning method called next generation reservoir computing, researchers at The Ohio State University have recently found a new way to predict the behavior of spatiotemporal chaotic systems — such as changes in Earth’s weather — that are particularly complex for scientists to forecast. The study, published today in the journal Chaos: An Interdisciplinary Journal of Nonlinear Science, utilizes a new and highly efficient algorithm that, when combined with next generation…
Share