📄 中文摘要
谷歌采用一种新方法，通过将定性报告转化为定量数据，解决数据稀缺问题。这一方法利用大型语言模型（LLM）分析历史新闻报道，以提取与闪电洪水相关的信息。这种创新的技术不仅提高了对洪水风险的预测能力，还为应急管理提供了更可靠的数据支持。通过这种方式，谷歌希望能够更有效地应对自然灾害，保护人们的生命财产安全。
谷歌利用旧新闻报道和人工智能预测闪电洪水
出处: Google is using old news reports and AI to predict flash floods
发布: 2026年3月12日
📄 English Summary
Google is using old news reports and AI to predict flash floods
Google has developed a novel approach to address data scarcity by converting qualitative reports into quantitative data using a large language model (LLM). This technique analyzes historical news articles to extract information relevant to flash flood predictions. By leveraging this innovative technology, the accuracy of flood risk assessments is enhanced, providing more reliable data support for emergency management. Google aims to improve disaster response capabilities and safeguard lives and property through this method.