Project Grant 2245712
Award Date
10/1/23
Completion Date
9/30/25
Dollars Obligated
$174K
Federal Agency
Division of Information and Intelligent Systems
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
Houghton, MI, USA
Similar Awards
The University of Michigan was awarded a $390,000 Project Grant from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to develop highly efficient bio-inspired edge computing systems. The project aims to leverage internal ionic, electronic, and thermal dynamic processes in emerging devices and networks to directly process spatiotemporal data with high performance, energy efficiency, and reliability. The research will focus on...
The University of Michigan will receive $393,983 from the National Science Foundation under a three-year Project Grant to develop scaled non-volatile bulk analogue memory for neuromorphic computing. The NSF Division of Electrical, Communications and Cyber Systems awarded the grant through its Engineering program (CFDA 47.041), which seeks to foster innovation in engineering research. Specifically, the University will work to advance memory technologies that can support neuromorphic computing...
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 award of $238,794 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program supports research to develop efficient and robust artificial intelligence (AI) hardware systems inspired by the human brain. The project aims to leverage novel magneto-electronic (spintronic) technologies to create computational components that emulate neural stochastic functionality. These components will be integrated into in-memory...
This $100,000 Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will support research at the University of Michigan to develop new capabilities for marine robotic systems to autonomously map, visualize, and navigate underwater environments. The project will leverage innovative machine learning methods to fuse acoustic and visual data from the robots, enabling improved mapping and localization in...
The University of Michigan was awarded a $986,380 Project Grant from the National Science Foundation Division of Computer and Network Systems under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The grant will support research from October 2021 through September 2024 on developing a learning-aided integrated control and semantic perception architecture to enable legged robot locomotion and navigation in unstructured outdoor environments. The project...
This Project Grant award of $476,440 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program supports research into developing new algorithms and approaches for unsupervised and autonomous reinforcement learning of skills by artificial intelligence (AI) models. The key objectives of the research are to: 1) create new algorithms to discover small, reusable skills that can be rapidly combined to solve complex tasks; 2) develop...
The National Science Foundation (NSF) Directorate for Engineering (CFDA 47.041) awarded a $360,000 project grant to the Regents of the University of Michigan to conduct research advancing key knowledge and techniques for creating electronic devices for fabrication of future artificial intelligence systems. The grant supports fundamental research to explore critical device physics knowledge for the realization of new memristive switching devices (memristors) based on 2D nanomaterials, which could...
The National Science Foundation (NSF) awarded a $250,000 Project Grant under the Engineering program (CFDA 47.041) to the University of Arizona for the period of June 1, 2024 to May 31, 2027. The project, titled "COLLABORATIVE RESEARCH: SPINTRONICS ENABLED STOCHASTIC SPIKING NEURAL NETWORKS WITH TEMPORAL INFORMATION ENCODING," aims to develop novel neuromorphic computing architectures that leverage the temporal information encoding capabilities of stochastic magnetic devices. The...
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...