Digital Twin: Environmental Remediation
Can we use AI to emulate Amanzi-ATS simulations to deliver rapid and accurate results to practitioners and enable decision-making on future climate scenarios without a supercomputer?
Portfolio
Clouds
Automation of classificaiton of fluffy cloud in the air identify different cloud types, and the properties to improve understanding of cloud dynamics and feedback. We are developing unsupervised machine learning methods capable of clustering several hundreds of TB of satellite cloud imagery without any assumptions concerning artificial cloud categories.