Project Grant 2607344
- Federal Project Grant Award Summary The National Science Foundation's Division of Computing and Communication Foundations awarded the University of Southern California $411,682 under the Computer and Information Science and Engineering program (CFDA 47.070) to develop memory-efficient algorithms and hardware designs for spike-based edge computing systems. The two-year collaborative research project, which commenced October 1, 2025 and concludes September 30, 2027, focuses on integrating...
- Federal Grant Award Summary The National Science Foundation's Division of Electrical, Communications and Cyber Systems awarded a $199,829 Engineering Research Initiation (ERI) Project Grant to Kennesaw State University Research and Service Foundation, Inc. on October 1, 2025, with completion scheduled for September 30, 2027. This project delivers fundamental research and development outputs focused on federated spiking neural networks (SNNs) optimized for distributed learning in wireless edge...
- Federal Grant Award Summary The University of South Carolina received a $370,687 CAREER award from the National Science Foundation's (NSF) Division of Information and Intelligent Systems under the Computer and Information Science and Engineering (CFDA 47.070) program, effective July 1, 2025 through June 30, 2030. This project grant supports the development of a novel multiscale modeling framework designed to integrate heterogeneous sources of neuroscience data across cellular, mesoscale, and...
- Federal Grant Award Summary The National Science Foundation (NSF), through its Computer and Information Science and Engineering (CISE) program (CFDA 47.070), awarded $425,875 to The Leland Stanford Junior University on August 1, 2025, for a five-year CAREER grant extending through July 31, 2030. This project delivers novel computational and statistical methods for analyzing neural and behavioral data through the development of state space models (SSMs). The research addresses a critical...
- Federal Project Grant Award Summary The University of Southern California received a $310,000 Project Grant award from the National Science Foundation's Division of Behavioral and Cognitive Sciences under the Social, Behavioral, and Economic Sciences program (CFDA 47.075), effective October 1, 2025, through September 30, 2028. This award supports research into the theoretical foundations of NeuroAI, a brain-inspired artificial intelligence approach motivated by biological neuronal network...
- Federal Grant Award Summary The National Science Foundation (NSF) Division of Computing and Communication Foundations awarded a five-year CAREER project grant of $282,156 to the University of South Carolina, effective September 1, 2026 through August 31, 2031, under the Computer and Information Science and Engineering program (CFDA 47.070). This project develops novel artificial intelligence (AI) algorithms to solve pathfinding problems based on high-level goal specifications—situations where...
- Federal Project Grant Award Summary The National Science Foundation (NSF) Division of Computing and Communication Foundations awarded the University of Southern California a $361,264 Project Grant (CFDA 47.070: Computer and Information Science and Engineering) on June 15, 2026, to support a CAREER research initiative examining human-artificial intelligence (AI) interaction and its effects on human cognition. The project, which runs through May 31, 2031, will conduct empirical studies analyzing...
- Federal Grant Award Summary Award Details: The National Science Foundation (NSF) Division of Computing and Communication Foundations awarded a CAREER Project Grant of $460,590 to Trustees of Dartmouth College on July 1, 2026, with a completion date of June 30, 2031. This award funds research under the Computer and Information Science and Engineering (CFDA 47.070) program. Products and Services: The project delivers research and development in artificial intelligence (AI) systems designed to...
- Federal Grant Award Summary The National Science Foundation's Division of Computing and Communication Foundations awarded a CAREER grant totaling $342,196 to the University of Chicago, effective August 1, 2026 through July 31, 2031, under the Computer and Information Science and Engineering program (CFDA 47.070). This project delivers research and development in active representation learning for adaptive experimental design, creating an integrated learning framework that enables systems to both...
- Federal Grant Award Summary The University of Southern California received a $317,826 Project Grant award dated October 1, 2025, from the National Science Foundation (NSF) Directorate for Engineering (CFDA 47.041) to conduct collaborative research on indium selenide-based back-end-of-line neuromorphic accelerators. The project, scheduled for completion by September 30, 2026, focuses on integrating two-dimensional (2D) materials—specifically indium-based chalcogenides such as InSe and In2Se3—with...
The National Science Foundation's Division of Computing and Communication Foundations awarded $369,386 to the University of Southern California under the Computer and Information Science and Engineering program (CFDA 47.070) for a CAREER grant initiative running from October 1, 2025, through December 31, 2027. This project focuses on developing fundamental optimization strategies and neural architecture search (NAS) techniques for spiking neural networks (SNNs)—a low-power alternative to conventional artificial intelligence systems. The research deliverables include novel SNN architectures incorporating temporal feedback connections and distributed learning methodologies optimized for edge computing applications in computer vision tasks, addressing the persistent challenge of training large-scale SNNs for realistic applications while achieving significant energy-efficiency gains. The project supports both research innovation and workforce development outcomes. Beyond technical deliverables, the award funds interdisciplinary Ph.D. and undergraduate student training, providing educational infrastructure to develop the next generation of electrical and computer engineering researchers. The research specifically advances temporal feature utilization in SNNs to create networks with diverse connectivity and sparsity patterns, directly supporting NSF's mission to advance investigator-initiated research and education in computing and information science engineering disciplines.Federal Grant Award Summary
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $369.4k | 1/8/26 |