Project Grant 2504809
Award Date
10/1/25
Completion Date
9/30/29
Dollars Obligated
$900K
Federal Agency
Division of Computing and Communication Foundations
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
Irvine, CA 92697, USA
Similar Awards
This National Science Foundation (NSF) Project Grant award under the Engineering program (CFDA 47.041) provides $249,999 to the University of California, Irvine (UCI) to develop a novel neuro-symbolic framework that combines advanced hyperdimensional mathematics with deterministic finite automata and knowledge graphs. The goal is to create robust, interpretable models for efficient, data-driven knowledge transfer across diverse cyber-physical systems. The framework aims to reduce data...
This $333,667 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program will support the development of a novel neurosymbolic programming framework called "Foundation Model Programming." This framework aims to generate symbolically interpretable scientific hypotheses from high-dimensional observational data across disciplines such as neuroscience, genomics, biomechanics, and ecology. The key objectives are to create...
This Project Grant from the National Science Foundation's Division of Computing and Communication Foundations, under the Computer and Information Science and Engineering program (CFDA 47.070), provides $800,000 to Rice University from August 1, 2022 to July 31, 2025. The funding supports the development of a neurosymbolic program-synthesis framework that closely couples deep learning and classical symbolic methods for program synthesis. Specifically, the university researchers will explore new...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Award (CFDA 47.070) provides $597,224 to the University of California, Los Angeles (UCLA) from October 1, 2024 to September 30, 2027 to develop a novel class of feedforward neural networks called "Adaptive Synaptic Dynamics Neural Networks." The project aims to incorporate short-term synaptic plasticity into these networks in order to optimize the processing of temporal...
The National Science Foundation awarded a $800,000 Project Grant to the University of Texas at Austin under the Computer and Information Science and Engineering program (CFDA 47.070). The three-year award will support the development of a neurosymbolic program-synthesis framework that closely couples deep learning and classical symbolic methods for program synthesis. Researchers will explore new learning algorithms exposing neural models of code to explicit knowledge about program semantics....
The National Science Foundation awarded University of California Irvine a $499,793 Project Grant under the federal Computer and Information Science and Engineering grant program (CFDA 47.070). The grant will support the development of brain-inspired machine learning algorithms to provide real-time feedback to sensors and intelligently control data generation rates. This is expected to reduce sensor data outputs by up to four orders of magnitude for applications in infrastructure, mobile devices,...
The National Science Foundation (NSF) Division of Information and Intelligent Systems awarded a $600,000 Project Grant to the University of California, San Diego (UCSD) under the Computer and Information Science and Engineering (CFDA 47.070) program. The 3-year grant, effective July 1, 2023, supports research to develop dynamic neural network architectures that can efficiently enable multimodal perception, including vision, audio, and language processing. The research aims to address...
This $333,000 Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program supports the development of a novel neurosymbolic programming framework called "Foundation Model Programming." The project aims to enable the generation of symbolically interpretable scientific hypotheses from high-dimensional observational data, such as images and videos, across domains like neuroscience, genomics, and ecology. The framework will...
The National Science Foundation (NSF) awarded a $296,578 five-year Project Grant under the Integrative Activities (IA) program to the University of South Carolina (USC) to develop heterogeneous neuromorphic and edge computing systems for real-time machine learning applications. The project aims to enable computer vision and language models on resource- and energy-constrained devices, with a focus on American Sign Language translation to empower those with hearing and speech impairments. Key...
This Project Grant award of $400,000 from the National Science Foundation (NSF) under CFDA 47.041, the Engineering program, supports the development of a new hardware system designed to accelerate computational neuroscience models. The project aims to bridge the time scales involved in simulating complex cognitive phenomena like learning and memory, which span from milliseconds to years. The proposed convergent simulator architecture leverages neuromorphic hardware principles to efficiently...