Project Grant 2501413
- This $500,000 Project Grant awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program supports a collaborative research effort between Yale University and its partners to develop energy-efficient algorithms and hardware for spike-based edge computing. The project aims to integrate spiking neural networks (SNNs), a brain-inspired computing paradigm, with modern integrated circuits to enable practical deployment of neuromorphic...
- This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Project Grant, award ID 2403723, provides $500,000.00 to Cornell University to develop novel algorithms and hardware designs for energy-efficient, memory-optimized spiking neural network (SNN) systems on edge computing devices. The project aims to advance the practical deployment of neuromorphic computing for applications like drones, autonomous robots, portable medical devices, and wearable...
- This Project Grant from the National Science Foundation's Division of Computing and Communication Foundations, under the Computer and Information Science and Engineering program (CFDA 47.070), provides $173,894 to Kennesaw State University Research And Service Foundation, Inc. to develop a neuromorphic processing framework for spatiotemporal fusion of visual sensors. The awardee will design a hybrid neuromorphic framework composed of spiking neural networks and conventional artificial neural...
- The National Science Foundation awarded a $599,304 three-year Project Grant to the University of California, Santa Barbara under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The grant will support the development of novel methods and hardware architectures for optimization and acceleration of spiking neural networks. Key products will include algorithms, software design tools, and field-programmable gate array hardware architectures and...
- Kennesaw State University Research And Service Foundation, Inc. was awarded a $173,918 Project Grant from the National Science Foundation Division of Computer and Network Systems on July 1, 2021 to support research efforts concluding on June 30, 2023. The grant funding supports research and development activities under the Computer and Information Science and Engineering federal grant program (CFDA #47.070) to advance edge computing technologies through data-driven learning and control...
- The National Science Foundation (NSF) awarded a $174,229 Project Grant under the Computer and Information Science and Engineering (CISE) program to Michigan Technological University. The grant, awarded on October 1, 2023, with a completion date of September 30, 2025, is focused on developing a self-learning neuromorphic robot system that can operate efficiently in resource-constrained environments. The key objectives of this research project are to: 1) create a neuromorphic robot that utilizes...
- This $211,129 Project Grant was awarded on January 1, 2025 by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program to Northeastern University. The project, titled "CAREER: NEURAL NETWORK-INSPIRED INFORMATION PROCESSING BEYOND THE BINARY DIGITAL ABSTRACTION", aims to develop a design framework for efficient information processing using non-binary representations and in-memory memory/computation. Key research thrusts...
- This $2 million Project Grant from the National Science Foundation's Office of Emerging Frontiers and Multidisciplinary Activities will fund research at Cornell University from October 2022 through September 2026 under the federal Engineering program (CFDA 47.041). The grant aims to advance neuromorphic computing by developing algorithms and computational models inspired by biological neural circuits. Researchers will extract principles from neuroscience to design a neural network architecture...
- The National Science Foundation Division of Information and Intelligent Systems awarded a $143,624 Project Grant to the University of Georgia Research Foundation, Inc. under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The award will support a collaborative research project between multidisciplinary investigators to leverage advances in neuroscience data and develop brain-inspired artificial intelligence. Specifically, the researchers will analyze...
- The National Science Foundation (NSF) awarded a $2,000,000 Project Grant under the Engineering program (CFDA 47.041) to the University of California, Irvine to develop and assess the feasibility of 3D biological neural networks (3DNNs) for intelligent biomedical motor control systems. The objectives are to establish methods to fabricate robust, reliable, and reproducible 3DNNs, and to develop core principles to program them with intelligent behavior. This research aims to demonstrate...
This $199,829 Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) aims to advance the understanding of distributed Spiking Neural Network (SNN) learning systems for energy-efficient wireless edge networks. The project, titled "Towards Efficient and Robust Federated Neuromorphic Learning in Wireless Edge Networks," seeks to address challenges in integrating SNNs with distributed learning to optimize for efficiency, robustness, and utility in wireless edge environments. The research will be conducted by Kennesaw State University Research And Service Foundation, Inc., a non-profit organization supporting research and educational initiatives at Kennesaw State University. The project duration is from Oct 1, 2025 to Sep 30, 2027 and is expected to contribute to the development of wireless edge AI systems for applications such as power systems, environmental monitoring, healthcare, manufacturing, and robotics.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $199.8k | 8/21/25 |