HAiVA: Hybrid AI-assisted Visual Analysis Framework to Study the Effects of Cloud Properties on Climate Patterns

no code implementations • 13 May 2023 • Subhashis Hazarika, Haruki Hirasawa, Sookyung Kim, Kalai Ramea, Salva R. Cachay, Peetak Mitra, Dipti Hingmire, Hansi Singh, Phil J. Rasch

Clouds have a significant impact on the Earth's climate system.

Climate Intervention Analysis using AI Model Guided by Statistical Physics Principles

1 code implementation • 7 Feb 2023 • Soo Kyung Kim, Kalai Ramea, Salva Rühling Cachay, Haruki Hirasawa, Subhashis Hazarika, Dipti Hingmire, Peetak Mitra, Philip J. Rasch, Hansi A. Singh

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

no code implementations • 3 Feb 2023 • Haruki Hirasawa, Sookyung Kim, Peetak Mitra, Subhashis Hazarika, Salva Ruhling-Cachay, Dipti Hingmire, Kalai Ramea, Hansi Singh, Philip J. Rasch

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).

Conversational User Interfaces for Blind Knowledge Workers: A Case Study

no code implementations • 13 Jun 2020 • Kyle Dent, Kalai Ramea

We present a case study of our work to develop a conversational user interface for accessibility for multifunction printers.

Unsupervised Temporal Clustering to Monitor the Performance of Alternative Fueling Infrastructure

no code implementations • 5 Jun 2019 • Kalai Ramea

Zero Emission Vehicles (ZEV) play an important role in the decarbonization of the transportation sector.

BIG-bench Machine Learning Clustering