This $607,900 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program will fund research and development on domain-specific probabilistic computing using stochastic antiferromagnetic tunnel junctions. The project aims to address the growing energy consumption and optimization challenges facing conventional computing systems by developing a new type of probabilistic computing architecture. The award brings together experts...
This Project Grant award of $238,794 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program supports research to develop efficient and robust artificial intelligence (AI) hardware systems inspired by the human brain. The project aims to leverage novel magneto-electronic (spintronic) technologies to create computational components that emulate neural stochastic functionality. These components will be integrated into in-memory...
This $1,000,000 Project Grant awarded by the National Science Foundation (NSF) under the NSF Technology, Innovation, and Partnerships program (CFDA 47.084) aims to develop novel materials and devices for probabilistic computing, a promising approach to accelerating complex, inherently probabilistic algorithms. The primary awardee, Purdue University, will lead an interdisciplinary effort to design and optimize magnetic tunnel junction devices known as "probabilistic bits" (p-bits) based...
The National Science Foundation (NSF) Division of Electrical, Communications and Cyber Systems awarded a $385,000 Project Grant to Northwestern University to develop cross-layer techniques from device to circuit and architecture for the large-scale integration of ferroelectric field effect transistors (FeFET) with complementary metal-oxide-semiconductor (CMOS) technology. This research aims to enable emerging computing applications, such as AI, robotics, augmented/virtual reality, and autonomous...
The National Science Foundation (NSF) awarded a $300,000 Project Grant under the Integrative Activities program (CFDA 47.083) to the University of South Alabama. The two-year award, effective January 1, 2025, supports research on memristor-based computing-in-memory (CIM) for neuromorphic systems. The project aims to investigate the design, optimization, and fabrication of memristor-based CIM technology for energy-efficient artificial intelligence (AI) computation, with a focus on emerging AI...
This Project Grant award from the National Science Foundation (CFDA 47.070 - Computer and Information Science and Engineering) to Northeastern University, totaling $211,129, aims to develop a design framework for efficient information processing that leverages insights from biological systems. The key objectives are to: Advance analog/mixed-signal (AMS) design automation and create novel neural network-inspired model abstractions and hardware substrates to enable a streamlined design flow...
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 $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...
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 $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...