AI Use Case
Predict risk from natural disasters such as wildfires
Predict risk from natural causes such as wildfires, using data from a wide variety of sources such as satellites and environmental sensors and often building on other data models - for example likely weather patterns. Predicting likely wildfire movement for example can have huge impact on human safety and resource deployment.
Function
Benefits
Risk reduction - Reduce environmental physical risk,Operational Support - Process visualisation
Case Studies
Google~Monta Vista High School students build a model to predict wildfires using Google Tensorflow,Harvard University~Harvard university seismologists developed a deep learning algorithm to predict the location of aftershocks with an AUC of .849,Google~Google predicts river floods and their severity using AI based forecasting models,One Concern~One concern optimises emergency crews distribution during natural disasters with machine learning ,Los Alamos National Laboratory~Researchers at Los Alamos National Laboratory identified a sound pattern that indicates slippage and fault failure using machine learning,University of Bristol~University of Bristol Researchers detect possibility of volcanic eruption using neural networks,Technical University of Berlin~Researchers at Technical University of Berlin monitor 17 volcanoes worldwide using machine learning
Potential Vendors
Industry
Public And Social Sector
Government
Data Sets
Images,Time series,Structured / Semi-structured
AI Technologies