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In late winter, 2025, a new AI tool developed by the Utah Avalanche Center flagged a layer in the snowpack as posing a potential risk. Then, just days later, nearly two-dozen avalanches failed on that same layer. It was a powerful demonstration of the potential benefits of the Utah Computer-Assisted Avalanche Support Tool (UCAAST), the UAC's new AI-powered asset. Travis Morrison and Chad Bracklesberg helped develop UCAAST, and they've built several different models into its programming aimed at improving forecast accuracy and efficiency. Morrison and Bracklesberg join Drew to discuss how the tool could inform the development of the daily forecast and supplement the deep well of expert knowledge already on hand at the UAC.
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면책 조항: 이 페이지에 포함된 팟캐스트와 작품은 Utah Avalanche Center에서 가져온 것입니다. 이 팟캐스트는 소유자의 재산이며 Listen Notes, Inc.와 제휴하거나 보증하지 않습니다.
