Project Grant N000142612161

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...

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...

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...

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...

This $1,999,112 project grant from the National Science Foundation's Engineering Directorate (NSF ENG) will fund research at The Johns Hopkins University to develop new artificial intelligence techniques inspired by neuroscience models of visual attention. Specifically, the grant aims to translate models of visual attention in mammalian brains into new deep learning algorithms that can greatly reduce the number of variables updated during machine learning. If successful, these brain-inspired...

This $255,999 National Science Foundation award under the Technology, Innovation, and Partnerships program will support Zenoleap LLC's development of novel superconducting neuromorphic computing circuits. The awardee will design, fabricate, and characterize atomic-tunable memristors and superconducting quantum interference device neurons to enable true biological brain-inspired deep learning network algorithms. This superconducting neuromorphic circuit aims to significantly improve energy...

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...

This $1.7 million National Science Foundation project grant supports research at West Virginia University and the University of Arkansas, Fayetteville to develop unsupervised continual learning algorithms inspired by neuroplasticity mechanisms observed in electric fish. Funded through NSF's Engineering Directorate (ENG) under the Established Program to Stimulate Competitive Research and Emerging Frontiers in Research and Innovation Brain-Inspired Dynamics for Engineering Energy-Efficient...

This three-year, $402,690 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), will fund research at Virginia Polytechnic Institute and State University exploring brain-inspired computer architecture approaches. Specifically, the university will conduct experiments demonstrating problems that can be solved through multiple algorithmic solutions with varying...

The Massachusetts Institute of Technology (MIT) received a $500,000 Project Grant award from the National Science Foundation Division of Computing and Communication Foundations on June 1, 2022 to support research titled "AF: SMALL: AN ALGORITHMIC THEORY OF BRAIN BEHAVIOR: CONCEPT REPRESENTATION AND LEARNING IN SPIKING NEURAL NETWORKS." The three-year project will investigate concept representation and learning in spiking neural networks through the lens of algorithmic theory. The award...