Project Grant 2509340
Award Date 10/1/25
Completion Date 9/30/28
Dollars Obligated $291K
Funding Federal Agency
Awarding Federal Agency
Federal Grant Program
Assistance Type
Project Grant
Place of Performance
Providence, RI 02912, USA
Similar Awards
- The National Science Foundation (NSF) awarded a $360,405 Project Grant under the Mathematical and Physical Sciences (CFDA 47.049) federal grant program to the University of New Mexico (UNM). The grant will fund the development of AI/ML-based computational tools to enable novel searches for the physical origin and properties of the "invisible" dark matter and dark energy components that dominate the universe's energy budget. The project aims to determine if neutrinos have nonstandard...
- The National Science Foundation (NSF) Division of Astronomical Sciences awarded a $349,660 Project Grant to the University of Wisconsin - Madison (UW-Madison) under the NSF's Mathematical and Physical Sciences program (CFDA 47.049). The grant will fund a three-year research project to develop novel probabilistic machine learning techniques, such as normalizing flows, to model cosmological data from upcoming galaxy surveys. The goal is to enable more precise measurements of fundamental physics...
- This $457,976 Project Grant awarded by the National Science Foundation's (NSF) Division of Astronomical Sciences under the Mathematical and Physical Sciences program (CFDA 47.049) supports research to develop a novel framework for constraining models of baryonic feedback in the universe. The research team at the University of Chicago will apply artificial intelligence and machine learning techniques to data from cosmic microwave background and galaxy surveys to gain insights into the...
- The National Science Foundation awarded a $280,576 Project Grant to Princeton University under the Mathematical and Physical Sciences program (CFDA 47.049) for the period of September 1, 2021 through August 31, 2024. The grant will support collaborative research on "COSMOLOGY AND ASTROPHYSICS WITH MACHINE LEARNING SIMULATIONS (CAMELS) TO MAXIMIZE THE SCIENCE RETURN OF NEXT-GENERATION COSMOLOGICAL EXPERIMENTS." Specifically, Princeton University will leverage machine learning techniques...
- The National Science Foundation (NSF) awarded a $309,517 project grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the University of California, Berkeley. The grant supports the development of artificial intelligence (AI) methods for analyzing data from weak gravitational lensing surveys, which can provide insights into the nature of dark matter and the structure of the universe. The research aims to advance simulation-based inference techniques, including...
- This National Science Foundation (NSF) Division of Astronomical Sciences Project Grant, CFDA #47.049 Mathematical and Physical Sciences, is funding Drexel University to develop cutting-edge artificial intelligence (AI) systems that will optimize the search for electromagnetic signals accompanying gravitational wave events detected by advanced detectors. The $341,248 project, running from September 1, 2023 to August 31, 2026, aims to create an AI agent that can adaptively learn to make the best...
- Brown University received a $431,665 Project Grant award from the National Science Foundation Division of Astronomical Sciences under the Mathematical and Physical Sciences federal grant program (CFDA 47.049). The award, made on July 1, 2021 for a period of performance through June 30, 2024, will support the COLLABORATIVE RESEARCH: LOVOCCS: THE LOCAL VOLUME COMPLETE CLUSTER SURVEY. This survey aims to promote progress in the mathematical and physical sciences by increasing the store of...
- This $600,000 federal Project Grant awarded by the National Science Foundation (NSF) under the Mathematical and Physical Sciences (CFDA 47.049) program supports research in gravitational-wave astrophysics and cosmology related to mergers of compact remnants of stellar deaths, such as black holes and neutron stars. The project at Northwestern University aims to develop new statistical frameworks and machine learning algorithms to analyze the growing population of detected gravitational wave...
- This $395,378 Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences Federal Grant Program (CFDA 47.049) will support the development of software using machine learning and artificial intelligence (AI) methods to detect anomalous phenomena in data from the Legacy Survey of Space and Time (LSST) conducted by the Vera C. Rubin Observatory. The key objectives are to develop new methodologies and a software package specifically designed for LSST data to...
- The National Science Foundation (NSF) awarded a $163,000 Project Grant under the Mathematical and Physical Sciences program (CFDA 47.049) to The Trustees of Columbia University in the City of New York, doing business as Columbia University. The goal of this 3-year research project, from October 1, 2025 to September 30, 2028, is to build mathematical foundations for reasoning about the behavior of modern machine learning systems. The research focuses on understanding how artificial intelligence...