Project Grant 2504016
Award Date 8/1/25
Completion Date 7/31/29
Dollars Obligated $528K
Federal Agency
Federal Grant Program
Assistance Type
Project Grant
Place of Performance
Philadelphia, PA 19104, USA
Similar Awards
- The Trustees of the University of Pennsylvania received a $392,992 Project Grant from the National Science Foundation Division of Information and Intelligent Systems under the Computer and Information Science and Engineering program (CFDA 47.070). The grant will support research and education activities aimed at developing machine learning techniques that break through the fairness-accuracy tradeoff paradigm. Specifically, the university researchers will draw on ideas from learning theory and...
- This Project Grant from the National Science Foundation's Division of Information and Intelligent Systems, under the Computer and Information Science and Engineering program (CFDA 47.070), provides $287,594 to support collaborative research addressing challenges in learning and inference from large-dimensional data. The awardee, The Trustees of the University of Pennsylvania doing business as the Clinical Practices of the University of Pennsylvania, will conduct the research from January 2022...
- The Trustees of the University of Pennsylvania received a $500,000 Project Grant award from the National Science Foundation Division of Electrical, Communications and Cyber Systems on February 15, 2021 to support research titled "CAREER: TOWARDS A THEORY OF ROBUST LEARNING & CONTROL FOR SAFETY-CRITICAL AUTONOMOUS SYSTEMS" through January 31, 2026. This award will fund research under the NSF Engineering program (CFDA #47.041) to develop a theoretical framework for robust learning...
- This $1.6 million Project Grant from the National Science Foundation's Computer and Information Science and Engineering program will fund research at the University of Pennsylvania from October 2022 through September 2026. The research focuses on developing theoretical tools to build an understanding of why deep neural networks (DNNs) work and when they can fail. Investigators will seek to identify common themes in how artificial and biological systems like the human brain learn. They will...
- The National Science Foundation (NSF) awarded a $134,150 CAREER (Faculty Early Career Development) Project Grant under the Mathematical and Physical Sciences Federal Grant Program (CFDA 47.049) to The Trustees of the University of Pennsylvania, doing business as the Clinical Practices of the University of Pennsylvania. The grant funds a research project to design and analyze non-convex optimization algorithms for statistical estimation and machine learning tasks, with the goal of developing...
- The Trustees of the University of Pennsylvania received a $275,000 project grant from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) to conduct research on geometrization approaches toward understanding deep learning. Specifically, the three-year award funds research projects analyzing symmetries in trained deep neural networks, examining dynamics of deep learning training, and investigating how deep learning separates data across neural network...
- This NSF CISE program Project Grant awarded to The Trustees of the University of Pennsylvania, doing business as the Clinical Practices of the University of Pennsylvania, is providing $533,411 to fund collaborative research focused on maintaining the safety of learning-enabled systems that navigate in unknown environments. The key objectives are to: (i) develop a two-phase design and deployment process that integrates offline robustness synthesis with online safety monitoring and adaptation,...
- The Pennsylvania State University, doing business as Penn State, was awarded a $599,096 Project Grant from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070). The three-year award, effective June 1, 2024, will fund research towards "Efficient Adaptive Federated Learning: Algorithms, Theories, and Applications." The project aims to (1) improve the communication efficiency of adaptive federated learning...
- This $431,250 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports research by Carnegie Mellon University to develop robust machine learning (ML) systems that can operate reliably in complex, real-world environments. The 5-year project (8/1/2025 - 7/31/2030) aims to bridge theoretical analysis and practical experimentation to address the brittleness of current ML models, which can fail unexpectedly under...
- This National Science Foundation (NSF) Project Grant award under the Mathematical and Physical Sciences program (CFDA 47.049) provides $250,000 to The Trustees of the University of Pennsylvania to develop advanced statistical methods for integrating and analyzing large-scale data from multiple sources, such as electronic health records and genomics data. The project aims to devise new data-driven algorithms with theoretical optimality guarantees for transfer learning, as well as adversarially...