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 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 $356,135 over three years from the National Science Foundation under the Engineering federal grant program (CFDA 47.041) to develop dynamic properties of elastic media using self-trained convolutional neural networks. The project aims to improve understanding of material behavior through computational modeling with neural networks. As the awardee, the University of Michigan will conduct this research from July 2021 through June 2024 at its Ann Arbor...
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 University of Michigan was awarded a $1.1 million Project Grant from the National Science Foundation Division of Mathematical Sciences under the Computer and Information Science and Engineering program (CFDA 47.070). The grant will fund research from September 2021 through August 2025 to develop new statistical learning methods for brain-computer interfaces. As part of the Computer and Information Science and Engineering program's goals of supporting investigator-initiated research and...
The National Science Foundation (NSF) awarded a $189,000 Project Grant under the Integrative Activities (CFDA 47.083) program to the University of Oklahoma. The funding will support the development of a novel hybrid CMOS+X-based in-memory analog computing framework that utilizes 3D NAND flash memory technology and molecular memristors to create an energy-efficient neuromorphic computing system. The project aims to emulate the efficiency of the human brain by incorporating bio-inspired learning...
This three-year National Science Foundation Project Grant of $418,907 will support the development of an energy-efficient, customizable mixed-signal deep neural network system using a novel reconfigurable crossbar architecture and new memory technology at Wayne State University. Funded through the NSF's Engineering program (CFDA 47.041), the university aims to address challenges in reliably implementing analog computation for deep learning through innovations at the technology, circuit,...
The National Science Foundation awarded a $250,000 Project Grant to the University of Michigan under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The three-year award will support research into a new paradigm for distributed information processing, simulation and inference in networks through application of the "law of small numbers." The University of Michigan will leverage its expertise in computing and communications foundations to...
Wayne State University received a $174,889 Project Grant award from the National Science Foundation under the Computer and Information Science and Engineering program (CFDA 47.070). The grant will support the development of a data-driven, high-throughput and customizable manufacturing platform for neuromorphic circuits based on nanoscale 3D printing. This platform aims to enable design freedom in materials and device architecture for neuromorphic technology. Specifically, the university will...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE, CFDA 47.070) program grant for $174,861 awarded to Oakland University in Rochester, Michigan will support research into in-memory machine learning using memristor crossbars. The project aims to develop algorithms and techniques to enable energy-efficient and radiation-hardened machine learning computations by leveraging sneak paths in 3D memristor crossbar architectures. Key objectives include...