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Found 6 papers, 1 papers with code
HAiVA: Hybrid AI-assisted Visual Analysis Framework to Study the Effects of Cloud Properties on Climate Patterns
Clouds have a significant impact on the Earth's climate system.
Improving CFD simulations by local machine-learned correction
High-fidelity computational fluid dynamics (CFD) simulations for design space explorations can be exceedingly expensive due to the cost associated with resolving the finer scales.
Climate Intervention Analysis using AI Model Guided by Statistical Physics Principles
Our model, AiBEDO, is capable of capturing the complex, multi-timescale effects of radiation perturbations on global and regional surface climate, allowing for a substantial acceleration of the exploration of the impacts of spatially-heterogenous climate forcers.
Accelerating exploration of Marine Cloud Brightening impacts on tipping points Using an AI Implementation of Fluctuation-Dissipation Theorem
Here, we describe an AI model, named AiBEDO, that can be used to rapidly projects climate responses to forcings via a novel application of the Fluctuation-Dissipation Theorem (FDT).
Proceedings of AAAI 2022 Fall Symposium: The Role of AI in Responding to Climate Challenges
These applications have implications in areas ranging as widely as energy, agriculture, and finance.
Pedestrian Collision Avoidance System (PeCAS): a Deep Learning Framework
We propose a new deep learning based framework to identify pedestrians, and caution distracted drivers, in an effort to prevent the loss of life and property.
