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 $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...
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) Engineering (CFDA 47.041) project grant, awarded to the University of Oklahoma for $305,999, aims to develop a novel hybrid CMOS+X-based in-memory analog computing framework. The project will leverage industry-scale 3D NAND flash memory chips and academic-scale molecular memristors to create a highly energy-efficient neuromorphic computing system. This system will utilize bio-inspired learning algorithms, such as equilibrium propagation and spiking...
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 $300,000 project grant, awarded by the National Science Foundation's (NSF) Integrative Activities (IA) program (CFDA 47.083), supports research into memristor-based computing-in-memory (CIM) for neuromorphic systems. The goal is to investigate the design, optimization, and fabrication of these energy-efficient AI computing systems at the University of South Alabama (USA), in collaboration with the Georgia Institute of Technology.
The two-year award period will enable the principal...
This is a Project Grant awarded by the National Science Foundation (NSF) under the NSF Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084). The $275,000 award, granted on Sep 15, 2024, supports the development of a novel manufacturing process for integrating two-dimensional molybdenum disulfide (MoS2) material into complex silicon trench structures to create high-density, energy-efficient artificial intelligence (AI) hardware. The project aims to demonstrate the feasibility...
This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) provides $731,058 to Arizona State University to design and evaluate an innovative energy-efficient hardware/software framework for on-chip implementation of deep neural networks (DNNs). The goal is to significantly reduce the energy consumption of DNNs and enable rapid identification of wireless transmissions in next-generation...
This National Science Foundation (NSF) Integrative Activities (CFDA 47.083) program Project Grant award of $252,210 to Iowa State University of Science and Technology (Iowa State University) focuses on developing energy-efficient intelligent computing systems that leverage stochastic processing. The goal is to create scalable and versatile hardware architectures that integrate emerging spintronics devices with conventional silicon components to accelerate key AI operations. The award supports...
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...
The National Science Foundation (NSF) awarded a $210,000 Project Grant under the NSF Technology, Innovation, and Partnerships (CFDA 47.084) program to Arizona State University. The grant funds 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 leveraging emerging non-volatile magnetic memory technology to significantly improve the energy efficiency of AI data processing by up to 100x compared to state-of-the-art solutions. Key products and services to be delivered include: 1) Exploration of novel spin-orbit torque magnetic random access memory (SOT-MRAM) materials and device geometries to enable high-performance, low-power, and highly scalable memory; 2) Design and fabrication of an AI-PIM chip implementing digital in-memory sparse multiplication-and-accumulation operations; and 3) Development of automated neural network architecture search and situation-aware continual learning algorithms optimized for the AI-PIM system. The project will also involve educational and workforce development activities, including K-12 STEM outreach, undergraduate/graduate training, and industry internships. Performance location is at Arizona State University's campus in Tempe, Arizona. The award period is from October 1, 2024 to October 31, 2026.