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 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...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Award (CFDA 47.070) provides $269,579 to Arizona State University (ASU) to develop an energy-efficient, dynamic, and robust in-memory computing system integrated with advanced deep learning algorithms. The goal is to create a new hybrid computing platform that combines the benefits of non-volatile resistive memory (RRAM) and static random-access memory (SRAM) technologies, optimized for...
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 (NSF) awarded a $496,390 project grant under the Computer and Information Science and Engineering (CISE) program to the Illinois Institute of Technology (IIT) to develop a unified memory-centric computing system with cross-layer support. The 3-year project aims to enable next-generation data-centric applications, from scientific simulation to machine learning and data mining algorithms, by overcoming performance bottlenecks through memory-centric computing...
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 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 $416,516 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports an interdisciplinary research project at Arizona State University (ASU) focused on developing an energy-efficient artificial intelligence (AI) processing-in-memory (PIM) system. The project aims to leverage emerging spin-orbit torque magnetic random access memory (SOT-MRAM) technology to implement highly efficient AI data processing...
This $189,000 federal Project Grant award from the National Science Foundation's Integrative Activities program (CFDA 47.083) supports the development of a novel hybrid CMOS+X-based in-memory analog computing framework. The project aims to enable high-performance, energy-efficient, and sustainable in-memory computing by leveraging industry-scale 3D NAND flash memory chips and academic laboratory-scale molecular memristors as artificial synapses and neurons, respectively. The research will...
The National Science Foundation (NSF) awarded a $268,000 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the University of Notre Dame DU Lac's Notre Dame Research Division for a 4-year collaborative research project on developing a compact and energy-efficient compute-in-memory accelerator for deep learning using ferroelectric vertical NAND memory. The objective is to design, evaluate, and prototype a novel vertical NAND memory technology based...