Project Grant 2602079
- The National Science Foundation Division of Computing and Communication Foundations awarded $426,864 to the Regents of the University of California, doing business as University of California, Berkeley, on July 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070). The award funds development of machine learning methods to accelerate large-scale quantum mechanical simulations, bridging the computational gap between small-scale theoretical models and the...
- The University of California, Santa Barbara will receive $334,786 from the National Science Foundation under a Project Grant award titled "COLLABORATIVE RESEARCH: A UNIFYING DEEP LEARNING FRAMEWORK USING CELL COMPLEX NEURAL NETWORKS." The funding period is from December 1, 2021 to November 30, 2024. The grant will support research into developing a unified deep learning framework using cell complex neural networks. This work aligns with the goals of the National Science Foundation's...
- The University of California Santa Cruz will receive $458,486 under a two-year Project Grant from the National Science Foundation Division of Computing and Communication Foundations. The grant will fund research titled "Collaborative Research: Algebraic Framework of Compositional Functions for New Structure, Training, and Explainability of Deep Learning" from January 1, 2022 to December 31, 2024. The research aims to develop new techniques for deep learning model structure, training...
- The University of California, Santa Barbara (UCSB) received a three-year, $124,971 Project Grant from the National Science Foundation (NSF) under the Computer and Information Science and Engineering program (CFDA 47.070). The grant supports the development of new machine learning techniques and software tools for data-driven modeling, simulation, and design of soft materials with targeted properties. Specifically, UCSB will apply adversarial training methods and deep neural networks to...
- The National Science Foundation (NSF) Division of Information and Intelligent Systems awarded a $600,000 Project Grant to the University of California, San Diego (UCSD) under the Computer and Information Science and Engineering (CFDA 47.070) program. The 3-year grant, effective July 1, 2023, supports research to develop dynamic neural network architectures that can efficiently enable multimodal perception, including vision, audio, and language processing. The research aims to address...
- The National Science Foundation Division of Information and Intelligent Systems awarded a $1.2 million Project Grant to the International Computer Science Institute of Berkeley, California from October 1, 2021 to September 30, 2025. The grant supports research under the Computer and Information Science and Engineering program (CFDA 47.070) to develop scalable second-order methods for training, designing, and deploying machine learning models. The CFDA program aims to advance computing and...
- The National Science Foundation Division of Computing and Communication Foundations awarded a $500,000 Project Grant to Princeton University from January 1, 2022 to December 31, 2024 to support collaborative research on probabilistic, geometric, and topological analysis of neural networks. This award falls under the Mathematical and Physical Sciences program (CFDA 47.049), which aims to strengthen the Nation's scientific enterprise through advancing knowledge and understanding of major problems....
- The National Science Foundation Division of Computing and Communication Foundations awarded a $300,000 Project Grant to Columbia University for research titled "Collaborative Research: Foundations of Deep Learning: Theory, Robustness, and the Brain" under the Mathematical and Physical Sciences program (CFDA 47.049). The three-year award running from December 2021 through November 2024 will support research into the theoretical foundations of deep learning techniques with a focus on...
- The National Science Foundation Division of Computing and Communication Foundations awarded $800,000 under the Computer and Information Science and Engineering federal grant program (CFDA 47.070) to the University of California, Berkeley for a four-year collaborative research project grant. The project aims to improve the sample efficiency of reinforcement learning algorithms in both offline and online settings through techniques like optimistic exploration and pessimistic exploitation. It...
- The National Science Foundation Division of Computing and Communication Foundations awarded the University of New Mexico $105,454 on December 1, 2025, to develop scalable formal verification algorithms and software tools for artificial neural network-controlled cyber-physical systems under the Computer and Information Science and Engineering program (CFDA 47.070). The project addresses the challenge of rigorously verifying the safety and reliability of autonomous systems—including autonomous...
The National Science Foundation Division of Computing and Communication Foundations awarded the University of California, Santa Barbara $200,000 on September 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop foundations for discovering higher-order scientific laws with deep learning. The award funds research on extending graph neural networks to model higher-order interactions in physical systems—interactions among components that extend beyond pairwise relations typically represented in graphs. The project addresses the combinatorial challenge of identifying which higher-order interactions matter in a given physical system across molecules, brain regions, and cosmological simulations by integrating topological neural networks with deep learning approaches. Research is performed in Santa Barbara, California, with performance concluding August 31, 2029.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $200.0k | 7/28/26 |