Project Grant 2345655

Award Date 3/1/24
Completion Date 2/28/27
Dollars Obligated $1M
Federal Grant Program
47.084
Assistance Type
Project Grant
Place of Performance
Stanford, CA 94305, USA
Similar Awards
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 $360,000 Project Grant award from the National Science Foundation's (NSF) Division of Materials Research under the Mathematical and Physical Sciences program (CFDA 47.049) aims to revolutionize computer memory by developing new materials and devices for energy-efficient magnetic random-access memory (MRAM). The project will focus on enabling these devices using thin layers of special materials called van der Waals heterostructures grown on a wafer scale, which is crucial for practical...
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) 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 $266,000 Project Grant to the Georgia Tech Research Corporation, doing business as the Office of Sponsored Programs, under the Computer and Information Science and Engineering program (CFDA 47.070). The grant supports the development of a compact and energy-efficient "compute-in-memory" accelerator for deep learning applications leveraging ferroelectric vertical NAND memory technology. Key objectives include designing and evaluating...
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 $500,000 Project Grant to Northwestern University under the Computer and Information Science and Engineering program (CFDA 47.070). The grant supports the development of application-specific integrated circuit (ASIC) prototypes that leverage complementary metal-oxide semiconductor (CMOS) circuits integrated with voltage-controlled magnetic memory devices to enable probabilistic computing. The key products to be delivered through this 3-year project...
This $360,000 federal Project Grant awarded by the National Science Foundation (NSF) under the Mathematical and Physical Sciences program (CFDA 47.049) aims to develop new materials and devices for high-density, energy-efficient magnetic random-access memory (MRAM). The project focuses on creating wafer-scale epitaxial van der Waals spin heterostructures, consisting of a 2D ferromagnetic material (Fe3GaTE2) and a topological quantum material with strong spin-orbit coupling. This innovative...
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 National Science Foundation (NSF) project grant award under the Engineering program (CFDA 47.041) provides $275,000 to develop a novel brain-inspired processor-in-memory system powered by environmentally-sustainable carbohydrate-based memristors. The key objectives are to create an energy-efficient, renewable, and ecologically-friendly computing solution to address sustainability challenges in artificial intelligence (AI) systems and computing devices. The project will leverage innovative...

The National Science Foundation (NSF) awarded a $1,000,000 Project Grant under the Technology, Innovation, and Partnerships (CFDA 47.084) program to The Leland Stanford Junior University. The grant, with a performance period from March 1, 2024 to February 28, 2027, aims to develop resilient, fast-switching, and energy-efficient magnetoresistive random access memory (MRAM) chips to revolutionize mobile artificial intelligence (AI). The research seeks to address technical hurdles around thermal robustness, switching speed, and energy efficiency of MRAM to enable secure and efficient AI applications on mobile devices. This work is expected to advance the state-of-the-art in mobile AI by leveraging MRAM-based associative memories and embeddings-based neural networks, preserving battery power and safeguarding user privacy. No sub-awards are planned under this grant.

Generated 10/29/24, 3:43 AM