New research reveals that “foundation models” trained on vast, general time-series data may be able to forecast river flows accurately, even in regions with little or no local hydrological records. The approach could improve flood warnings, drought planning and water-resource management in parts of the world where monitoring data is limited.
AI shows promise for flood forecasting and water security in data scarce regions
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HighlightsFree Dark Web Monitoring Stamps the $17 Million Credentials Markets
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AppsScreenshots have generated new forms of storytelling, from Twitter fan fiction to desktop film
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HighlightsDarknet markets generate millions in revenue selling stolen personal data, supply chain study finds
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SecurityPrivacy violations undermine the trustworthiness of the Tim Hortons brand
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Featured HeadlinesWhy Tesla’s Autopilot crashes spurred the feds to investigate driver-assist technologies – and what that means for the future of self-driving cars
