Project Grant N000142412688

This federal Project Grant award of $1,265,561.00, issued by the Office of Naval Research (ONR) under the Basic and Applied Scientific Research (CFDA 12.300) program, supports the development of advanced ocean bottom mapping and 3D photogrammetric technologies to enhance unmanned maritime vehicle navigation. The primary recipient, Concept To Capability Research LLC, is a for-profit limited liability company that specializes in cutting-edge research and development for defense-related...

This $100,000 Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will support research at the University of Michigan to develop new capabilities for marine robotic systems to autonomously map, visualize, and navigate underwater environments. The project will leverage innovative machine learning methods to fuse acoustic and visual data from the robots, enabling improved mapping and localization in...

The National Science Foundation's Geosciences Program (CFDA 47.050) has awarded a $871,084 Project Grant to the Woods Hole Oceanographic Institution (WHOI) to develop a novel observing system that uses artificial intelligence (AI) to coordinate multiple autonomous underwater vehicles (AUVs). The system will characterize the three-dimensional structure of tidally-driven coastal headland eddies, investigate the spatiotemporal variability of small-scale flow convergence within the eddies, and...

This Project Grant award of $592,981 from the National Science Foundation's (NSF) Geosciences Program (CFDA 47.050) will support collaborative research at the University of California, Santa Cruz (UCSC) to develop advanced machine learning models for analyzing flow cytometry data and mapping the geographic distribution of ocean microbes. The project aims to combine large datasets of flow cytometry measurements with novel neural network models to reveal patterns in the geographical distribution...

This $541,276 Project Grant awarded by the National Science Foundation's Geosciences Program (CFDA 47.050) will fund collaborative research by Oregon State University to develop artificial intelligence (AI) models that leverage gene sequence data to understand ecosystem processes in methane seep habitats. The research will focus on building two new AI models - one that codes genes and classifies them into pathways, and another that uses text and sequence protein representation to identify...

This National Science Foundation (NSF) Project Grant award under the Geosciences program (CFDA 47.050) provides $118,725 to Pacific Lutheran University (PLU) to develop a novel observing system that uses artificial intelligence (AI) to coordinate multiple autonomous underwater vehicles (AUVs). The system will be used to characterize the three-dimensional structure of tidally-driven coastal headland eddies, investigate the spatiotemporal variability of small-scale flow convergence within the...

This federal Project Grant award from the National Science Foundation's Geosciences program (CFDA 47.050) provides $374,799 to the University of Maryland Baltimore County (UMBC) for a collaborative research project titled "CAIG Deep Learning for Deep Chlorophyll Maxima: Predicting Vertical Distributions of Biogeochemical and Physical Properties". The project aims to leverage satellite data and observations from the Biogeochemical-Argo float network to develop physics-informed deep...

This Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) will support a collaborative research effort to develop novel artificial intelligence (AI) methods for automated sea ice classification. The University of Colorado will receive $317,922 to apply weakly supervised learning techniques that can effectively utilize existing, irregularly-labeled data to improve the performance of sea ice mapping and monitoring. The project aims to address key...

Geometric Data Analytics Inc. received a $299,804 project grant award from the National Oceanic and Atmospheric Administration under the Small Business Innovation Research Program to develop artificial intelligence capabilities that improve modeling of complex ocean dynamics and assist in logistical management and planning of uncrewed deployment campaigns. Specifically, the awardee will enhance their Float Field Geometric Health software to better predict future positions of floating sensor...

This $705,374 Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) supports collaborative research conducted by the University of Maryland Center for Environmental Science (UMCES) to develop deep learning models for predicting the vertical distribution of biogeochemical and physical properties related to marine phytoplankton. The project will leverage satellite data, validated with observations from autonomous ocean floats, to detect signatures of ocean...