Project Grant 2441635
Award Date
4/1/25
Completion Date
3/31/30
Dollars Obligated
$256K
Federal Agency
Division of Computing and Communication Foundations
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
Boston, MA 02134, USA
Similar Awards
This $600,000 Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program supports research by the University of Illinois to develop a theoretical control framework for understanding and improving diffusion-based generative machine learning models. The project aims to establish connections between generative modeling, optimal control theory, and partial/stochastic differential equations. Key technical objectives include...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Project Grant award for $174,999 supports research on trustworthy diffusion models, a type of large generative artificial intelligence (AI) model. The key objectives are to improve the privacy, fairness, and explainability of these AI models, which are critical for their safe and ethical deployment in areas like healthcare, media, law, and education. The project involves implementing differential...
This $499,999 federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will support collaborative research to investigate the theoretical foundations of compositional learning in large language models (LLMs) based on transformer architectures.
The research aims to advance the understanding of how LLMs, such as GPT-4, LLAMA 2, and CLAUDE 3, can decompose complex tasks into simpler intermediate steps...
This $300,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports research into the fundamental theories and algorithms for reconstructing diffusion history in cyber and human networks. The research aims to develop new deep learning-based methods for tracing the spread of information, diseases, and cyber threats, with applications in epidemiology and cybersecurity. The 3-year project is led by the Regents of...
This $352,236 National Science Foundation (NSF) Computer and Information Science and Engineering (CFDA 47.070) project grant was awarded to the Trustees of the Stevens Institute of Technology in Hoboken, New Jersey. The project aims to develop new structured generative modeling and learning frameworks to advance artificial intelligence (AI) for more informative, controllable, and cross-domain representations. Key technical objectives include creating context-aware generative models that...
This National Science Foundation (NSF) Project Grant under the Computer and Information Science and Engineering (CISE) program awards $602,466 to President and Fellows of Harvard College to develop new theoretical frameworks and mathematical models that elucidate how neural networks in the brain learn.
The 5-year project, starting on October 1, 2023, aims to advance the understanding of brain function and integrate the research findings into educational and outreach efforts. Key focus areas...
This $248,136 federal Project Grant, awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), will support the development of new AI methods for learning symbolic knowledge represented as computer code. The project aims to combine ideas from statistics, large language models, and program synthesis to create AI systems that can learn more abstract forms of knowledge from fewer examples and describe their knowledge in...
This $100,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to develop a novel algorithmic framework based on Hamiltonian dynamics for solving optimization, random sampling, and game theory problems arising in modern AI and machine learning systems. The project, awarded to the University of California, San Diego (UCSD), will explore a "Lift, Conserve, and Project" (LCP) scheme that...
This $122,000 NSF CAREER Award under the Computer and Information Science and Engineering (CFDA 47.070) program supports research to develop new mathematical tools for analyzing sampling algorithms used to manipulate and understand complex, high-dimensional probability distributions. The project aims to address several foundational open problems in theoretical computer science related to the design of efficient sampling algorithms with rigorous guarantees. The research will be conducted in...
The National Science Foundation (NSF) awarded a $300,000 Project Grant under the Computer and Information Science and Engineering (CISE) program to the University of Illinois. The 3-year grant, effective October 1, 2023, will fund research on reconstruction of diffusion history in cyber and human networks, with applications in epidemiology and cybersecurity. The research aims to develop fundamental theories and efficient, data-driven algorithms for identifying diffusion processes that best...