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...
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 $392,619 National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) federal grant award (CFDA 47.070) will support Arizona State University's (ASU) research on developing an energy-efficient, dynamic, and robust in-memory computing system for artificial intelligence (AI) applications. The key objectives are to: Design and fabricate a hybrid resistive random-access memory (RRAM) and static random-access memory (SRAM) based in-memory computing chip. Develop...
This $416,516 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will fund a collaborative research project titled "FUSE: Efficient Situation-Aware AI Processing in Advanced 2-Terminal SOT-MRAM." The project aims to develop an AI processing-in-memory (AI-PIM) system that leverages emerging spin-orbit torque magnetic random access memory (SOT-MRAM) technology to enable efficient, adaptive AI data...
This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $1,200,000 to Purdue University to develop scalable and ultra-low-power neural accelerators based on 2D ferroelectric semiconductors. The research aims to address hardware needs for future artificial intelligence (AI) platforms by utilizing the unique properties of ferroelectric semiconductors to design energy-efficient circuits and...
This $300,000 Project Grant award from the National Science Foundation (NSF) Integrative Activities program (CFDA 47.083) supports research led by the University of South Alabama (USA) to investigate memristor-based computing-in-memory (CIM) for neuromorphic systems. The primary goals are to advance the design, optimization, and fabrication of these energy-efficient AI computing architectures. The two-year project will establish a long-term collaboration between USA and the Georgia Institute...
The National Science Foundation (NSF) awarded a $400,000 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to Arizona State University, Division (doing business as Orspa), for the project "COLLABORATIVE RESEARCH: SHF: MEDIUM: TINY CHIPLETS FOR BIG AI: A RECONFIGURABLE-ON-PACKAGE SYSTEM". This 4-year project (7/1/2024 - 6/30/2028) aims to pioneer a computing system for massive AI workloads, including new architectural and design automation...
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 $305,999 federal Project Grant award from the National Science Foundation's Engineering (CFDA 47.041) program supports the development of a novel hybrid CMOS+X-based in-memory analog computing framework. The project aims to create an energy-efficient neuromorphic computing system by leveraging industry-scale 3D NAND flash memory chips and academic laboratory-scale molecular memristors to emulate the human brain's remarkable efficiency. The framework will utilize 3D NAND flash memory to...
This National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) project grant award provides $650,000 to The Trustees of Columbia University in the City of New York to develop energy-efficient optical brain-inspired (neuromorphic) computing devices. The project aims to establish a 3D nanofabrication platform that combines DNA-programmable assembly and conventional lithographic methods to create novel optical metamaterials and integrate them into neuromorphic...
This Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) will provide $599,980 to the University of Arizona to develop a new type of neuromorphic device called Moiré Synaptic Transistors (MSTs) using two-dimensional materials. The goal is to create MST devices that can achieve lower power consumption, higher memory state density, more tunability, and more biomimetic functionalities compared to existing semiconductor devices. This is intended to address limitations in processing complex analog data for artificial intelligence (AI) applications like AI-powered robots, autonomous drones, and personalized wearable electronics. The project will also integrate the MST devices with CMOS circuits and neuromorphic computing frameworks to advance analog computing systems. Additionally, the educational component aims to enhance semiconductor device fabrication, characterization, and co-design training for the next generation of STEM leaders. The award period is from July 1, 2025 to June 30, 2030.