Project Grant 2552007
Award Date 9/1/26
Completion Date 8/31/30
Dollars Obligated $750K
Funding Federal Agency
Awarding Federal Agency
Federal Grant Program
Assistance Type
Project Grant
Place of Performance
Atlanta, GA 30332, USA
Similar Awards
- The National Science Foundation Division of Computing and Communication Foundations awarded The Ohio State University $250,000 on September 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop sample-efficient, scalable bilevel optimization algorithms and computational tools for integration into modern machine learning systems. The project addresses computational bottlenecks in bilevel optimization—a mathematical structure where an overarching goal...
- Federal Grant Award Summary Georgia Tech Research Corporation received a $661,515 Project Grant award from the National Science Foundation's Division of Computing and Communication Foundations under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), effective October 1, 2025, through September 30, 2029. This collaborative research initiative delivers fundamental algorithmic research and complexity analysis focused on optimization techniques applicable to...
- This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) (CFDA 47.070) Project Grant award of $108,000 to the Georgia Tech Research Corp, Office of Sponsored Programs, will fund collaborative research to develop a unified framework for analyzing adaptive stochastic optimization methods for machine learning applications. The research aims to produce self-tuning optimization algorithms with rigorous guarantees to reduce wasteful computation required by current...
- The National Science Foundation Division of Computing and Communication Foundations awarded Georgia TECH Research Corp $354,774 on August 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070). The award funds development of computational tools that connect natural animal behavior to brain activity, with the goal of understanding how the brain supports flexible decision-making in complex environments. The work will employ inverse reinforcement learning...
- The National Science Foundation awarded a $539,926 project grant under the Computer and Information Science and Engineering federal grant program (CFDA 47.070) to the Georgia Tech Research Corporation from September 1, 2022 to August 31, 2025. The grant will support the development of new computational frameworks to improve the generalization of deep transfer learning and reduce model sizes when applying massive pre-trained deep learning models to domains with limited labeled data, such as...
- Georgia Tech Research Corporation will receive $299,703 under a three-year Project Grant from the National Science Foundation Division of Computing and Communication Foundations' Computer and Information Science and Engineering program (CFDA 47.070). The grant will fund research to develop new techniques in algorithms and complexity analysis to understand how global constraints influence the tractability of sampling and optimization problems on probabilistic graphical models. Specifically, the...
- The National Science Foundation Division of Information and Intelligent Systems awarded Georgia TECH Research Corp $386,963 on July 15, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to conduct research treating artificial intelligence data center infrastructure as a cyber-physical system that responds to hardware thermal and power constraints during distributed training. The project addresses a fundamental gap in AI training systems: current software...
- Federal Grant Award Summary Georgia TECH Research Corp received a $270,000 Project Grant from the National Science Foundation's Division of Computing and Communication Foundations (CISE Program, CFDA 47.070) effective October 1, 2025, through September 30, 2028. This collaborative research initiative focuses on developing scalable GPU (Graphics Processing Unit) simulation techniques and advanced memory management strategies specifically optimized for large-scale machine learning workloads. The...
- The National Science Foundation Division of Computing and Communication Foundations awarded The Johns Hopkins University $188,168 on July 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) for collaborative research in large-scale bilevel optimization theory, algorithms, and applications. The award extends through July 31, 2027, with performance at Baltimore, Maryland. The project develops fast and scalable Hessian-free bilevel algorithms with convergence...
- The National Science Foundation awarded a $500,000 Project Grant to the Georgia TECH Research Corporation from July 1, 2021 through June 30, 2025 under the Computer and Information Science and Engineering program (CFDA 47.070). The grant supports research to develop models for learning, refining, and understanding through relational feedback. The Computer and Information Science and Engineering program aims to advance computing and communication sciences through investigator-initiated research...