Project Grant 2433871
Award Date
6/15/25
Completion Date
5/31/28
Dollars Obligated
$352K
Federal Agency
Division of Computing and Communication Foundations
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
Charlottesville, VA, USA
Similar Awards
This $607,900 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports the development of novel probabilistic computing approaches using stochastic antiferromagnetic tunnel junctions. The principal investigator and lead institution, Northwestern University, will co-design these specialized "p-bits" with materials, device, circuit, and architecture experts to create energy-efficient,...
The University of California, Santa Barbara will conduct collaborative research on probabilistic computing through integrated nano-devices from July 2021 to June 2024 through a $270,000 Project Grant from the National Science Foundation. The research aims to advance a device-to-systems approach for probabilistic computing through integrated nano-devices. It will support investigator-initiated work under the NSF's Computer and Information Science and Engineering program, which seeks to advance...
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) 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 $875,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) is developing a probabilistic programming framework for modeling hybrid systems that combine continuous state evolution and discrete state changes. The project is applying this framework to domains such as epidemiology, medical devices, and autonomous systems, with the goal of enabling rigorous model-based decision-making. Key project...
Purdue University was awarded a $783,896 Project Grant from the National Science Foundation Division of Computing and Communication Foundations under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The three-year grant will support collaborative research titled "COLLABORATIVE RESEARCH: FET: MEDIUM: PROBABILISTIC COMPUTING THROUGH INTEGRATED NANO-DEVICES ? A DEVICE TO SYSTEMS APPROACH" from July 1, 2021 through June 30, 2024. The research aims...
This National Science Foundation (NSF) Project Grant award under the Computer and Information Science and Engineering (CFDA 47.070) program provides $600,000 in funding to Northeastern University to develop a new analog computing system called "N-Sphere" for solving large-scale combinatorial optimization problems. The project aims to create a low-power, CMOS-based "hyperspin" circuit that can accurately solve quadratic unconstrained binary optimization (QUBO) problems with...
The University of California, Santa Barbara (UCSB) received a $592,720 Project Grant from the National Science Foundation (NSF) under the Computer and Information Science and Engineering program (CFDA 47.070). The grant funds research to verify the safety and reliability of deep neural networks through innovative domain-specific architectures such as quantum and probabilistic computing platforms. At the device level, UCSB will improve the energy efficiency of existing probabilistic-bit designs...
This $389,494 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) is funding research at Northeastern University to advance the design and implementation of probabilistic programming languages (PPLs). The key objectives are to: Develop new high-level, ergonomic PPLs that can compile to low-level, tractable probabilistic models to enable scalable probabilistic inference. Create new compilation targets...
This $150,000 federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports collaborative research to advance the "structure vs. randomness" paradigm - a prominent concept used in mathematics and computer science. The project aims to develop new quantitative techniques, such as "spreadness" and "mixing," that can significantly improve bounds for important problems...