This $274,916 Project Grant award from the National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) program supports the development of an innovative, scalable ocean carbon sensing grid by Subtidal, Inc. The goal is to enhance measurement, reporting, and verification (MRV) capabilities for ocean-based carbon dioxide removal (CDR) strategies, which have the potential to extract up to 5 gigatons of CO2 annually from the atmosphere. The research objectives include...
This $420,000 Project Grant awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will develop a novel AI surrogate cyberinfrastructure for large-scale spatiotemporal simulations of coastal circulation. The project aims to create AI-driven tools to generate coastal ocean current simulations with faster speed and lower energy consumption compared to traditional numerical models. Key research deliverables include...
This $807,744 Project Grant award from the National Science Foundation's (NSF) Office of Advanced Cyberinfrastructure, with joint support from the Division of Research, Innovation, Synergies, and Education (RISE) and the Division of Ocean Sciences (OCE), aims to enhance community access to high-fidelity ocean modeling and observational capabilities. The award will fund the development of software infrastructure to enable rapid configuration, deployment, and analysis of the Modular Ocean Model...
This Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) provides $612,291 to the University of California, Davis to develop an advanced artificial intelligence (AI) system to analyze satellite data and ocean model outputs. The key products and services to be delivered include: Designing a sophisticated AI technique, specifically a physics-informed vision transformer (VIT) algorithm, to detect and measure ocean fronts (boundaries between water masses)...
This National Science Foundation (NSF) Cooperative Agreement award under the NSF Technology, Innovation, and Partnerships (CFDA 47.084) program provides $999,977 to Ocean Motion Technologies Inc., a minority-owned small disadvantaged business, to develop an artificial intelligence (AI) system that optimizes energy capture from ocean wave energy devices. The project aims to create a market-ready AI system that can dynamically adjust wave energy device settings to increase power output by 27-33%...
This $328,081 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will enable researchers at Columbia University to use artificial intelligence and machine learning to better understand the extreme marine heatwaves that occurred globally in 2023. The project aims to analyze observational data, climate models, and integrate them using AI to formulate hypotheses on the drivers behind these record-breaking...
This $536,577 project grant awarded by the National Science Foundation's Geosciences Program (CFDA 47.050) will support an innovative research effort at the University of California, Santa Cruz (UCSC) to leverage artificial intelligence (AI) techniques to analyze satellite and ocean model data. The goal is to gain new insights into ocean dynamics, particularly the drivers of mixed layer heat inventory variability. The researchers plan to develop a physics-informed vision transformer AI system to...
The National Science Foundation (NSF) awarded a $529,636 Project Grant under its Geosciences (CFDA 47.050) program to the University of Louisiana at Lafayette (ULL) to develop artificial intelligence (AI) methods for analyzing satellite hyperspectral imagery to characterize phytoplankton community dynamics in coastal ecosystems. The 3-year project, starting January 1, 2025, aims to construct a large-scale database of phytoplankton observations, build AI foundation models for predicting changes...
The National Science Foundation awarded a $255,558 Project Grant to Ocean Motion Technologies Inc. under the NSF Technology, Innovation, and Partnerships program (CFDA 47.084). The grant supports the company's efforts to leverage machine learning techniques to optimize the efficiency and energy capture of ocean-based renewable power generation. Specifically, the company will utilize reinforcement learning to develop an advanced control model that adjusts wave energy capture device hardware based...
The National Science Foundation awarded a $747,174 Project Grant to the Monterey Bay Aquarium Research Institute under the Integrative Activities federal grant program (CFDA 47.083). The award period is from October 1, 2021 to September 30, 2022. Through this funding, Mbari will develop algorithms to analyze video observations of ocean life from the FathomNet data repository. Cvision AI and the University of California, Santa Cruz will provide expertise and services as sub-awardees. Cvision AI...