Project Grant 1843483

This $255,999 National Science Foundation award under the Technology, Innovation, and Partnerships program will support Zenoleap LLC's development of novel superconducting neuromorphic computing circuits. The awardee will design, fabricate, and characterize atomic-tunable memristors and superconducting quantum interference device neurons to enable true biological brain-inspired deep learning network algorithms. This superconducting neuromorphic circuit aims to significantly improve energy...

This Project Grant award, valued at $189,000.00 and funded by 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 key products and services to be delivered under this grant include: The framework will utilize industry-scale 3D NAND flash memory chips to create massive arrays of artificial synapses, mimicking the human brain's 100 trillion synapses. These artificial...

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...

The National Science Foundation awarded a $525,000 Project Grant to the University of California, San Diego under the Computer and Information Science and Engineering program (CFDA 47.070) to support research investigating energy-efficient persistent learning-in-memory with quantum tunneling dynamic synapses from October 1, 2022 to September 30, 2025. The award will fund the development of novel learning hardware and software tools to significantly improve the energy efficiency of artificial...

This $618,159 National Science Foundation project grant supports research into developing energy-efficient hardware and software for machine learning and artificial intelligence systems. Funded under the Computer and Information Science and Engineering program, the award supports The Washington University in investigating frameworks using quantum-tunneling dynamic-analog memory devices and novel online learning algorithms. Specific objectives include exploring Fowler-Nordheim dynamic analog...

This Project Grant award of $210,000.00 from the National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) program supports an interdisciplinary research effort at Arizona State University (ASU) to develop an efficient, situation-aware artificial intelligence (AI) processing system leveraging emerging spin-orbit torque magnetic random access memory (SOT-MRAM) technology. The key products and services to be delivered under this award include: 1) exploring novel...

Wolfzyc LLC was awarded a $255,646 Project Grant from the National Science Foundation under the NSF Technology, Innovation, and Partnerships program to develop a neuromorphic computing platform using superconducting neural units with adjustable weights. This Small Business Innovation Research Phase I award will support the company's efforts over 11 months to advance the technological frontier with a high-speed superconductor electronics-based neuromorphic computer centered around a disordered...

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...

This Project Grant award of $731,058, funded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program, aims to design and evaluate an energy-efficient hardware/software framework for on-chip implementation of deep neural networks (DNNs). The primary objectives are to: (1) develop a radically innovative near-memory CMOS+X architecture to significantly reduce DNN energy consumption by 10-100x, and (2) customize this framework for new DNNs to enable...

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...