Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News - PULLMAN, Wash. - A new computer model uses a better artificial intelligence process to measure snow and water availab ility more accurately across vast distances in the West, information that could someday be used to better predict water availability for farmers and others. Publishing in the Proceedings of the AAAI Conference on Artificial Intelligence, the interdisciplinary group of Washington State University researchers predict water availability from areas in the West where snow amounts aren’t being physic ally measured. Comparing their results to measurements from more than 300 snow measuring statio ns in the Western U.S., they showed that their model outperformed other models t hat use the AI process known as machine learning. Previous models focused on tim e-related measures, taking data at different time points from only a few locatio ns. The improved model uses both time and space into account, resulting in more accurate predictions.
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