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Google Releases Gemini-Powered Flood Forecasting Model and Groundsource Dataset ===============================================================================
Google Releases Gemini-Powered Flood Forecasting Model and Groundsource Dataset ===============================================================================  ### AIGCLINK
@aigclink
谷歌刚刚新发布了一个洪水预测模型,基于Gemini支持,可提前24小时预测城市突发洪水
Groundsource用Gemini把非结构化的公开信息先变成结构化训练数据
其分析了超过260万条历史洪水事件记录、150+国家,再结合Google Maps确定每起事件的精确地理边界,从而创建了一个专注于突发洪水的数据集,来训练模型
这是一个很不错的用AI解决AI训练数据缺失的方式,比人工标注便宜的多
这套方法不只用于洪水,未来可以预测滑坡、热浪等其他自然灾害
#自然灾害预测模型 #Groundsource Show More
#### Sundar Pichai
@sundarpichai · 11h ago
We trained a new flood forecasting model designed to predict flash floods in urban areas up to 24 hours in advance.
To help address a flash floods data gap, we created Groundsource: a new AI methodology using Gemini to identify 2.6M+ historical events across 150+ countries.
We’re open-sourcing this dataset to advance global research, and urban flash flood forecasts are live now in Flood Hub to help communities stay safe.Show More
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Mar 12, 2026, 11:13 PM View on X
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One Sentence Summary
Google introduces the Gemini-powered Groundsource methodology, capable of predicting urban flash floods up to 24 hours in advance, and open-sources a dataset containing over 2.6 million records.
Summary
Google has released a new predictive model for urban flash floods, powered by Gemini. A core innovation is the AI methodology called Groundsource, which uses Gemini to transform unstructured public information into structured training data, effectively addressing the challenge of scarce training data in the natural disaster domain. The model is now live on Flood Hub, and the associated dataset has been open-sourced. This methodology is expected to expand in the future to predict other natural disasters such as landslides and heatwaves.
AI Score
84
Influence Score 7
Published At Yesterday
Language
Chinese
Tags
Gemini
Flood Prediction
Groundsource
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Google Releases Gemini-Powered Flood Forecasting Model an... ===============