Project Grant 2527046
- This federal Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) will support a $1,958,603 research project at the University of California, Santa Cruz (UCSC) from August 1, 2025 to July 31, 2029. The project aims to explore whether human brain organoids, lab-grown tissue models of the human brain, can perform computations similar to artificial intelligence (AI) systems. The research team will design new tools to allow the brain organoids to...
- This Project Grant award from the National Science Foundation's Division of Information and Intelligent Systems (CFDA 47.070 - Computer and Information Science and Engineering) supports research into probing the inner workings of artificial intelligence (AI) systems and comparing them to human cognition during speech recognition. The $50,000 award to the University of Southern California (USC) will fund the development of novel mathematical models and experimental methods to examine how AI...
- The National Science Foundation Division of Information and Intelligent Systems awarded a $143,624 Project Grant to the University of Georgia Research Foundation, Inc. under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The award will support a collaborative research project between multidisciplinary investigators to leverage advances in neuroscience data and develop brain-inspired artificial intelligence. Specifically, the researchers will analyze...
- This federal Project Grant award of $750,000, awarded by the National Science Foundation (NSF) under its Social, Behavioral, and Economic Sciences program (CFDA 47.075), supports research by Brown University to develop and test a novel computational theory of how cognitive control works in the human brain. The project aims to build recurrent neural network models that can learn about the demands of different tasks and how to allocate control to rapidly improve performance, with potential...
- This National Science Foundation (NSF) Project Grant award under the Computer and Information Science and Engineering (CFDA 47.070) program provides $225,000.00 to the University of Massachusetts to develop closed-loop hybrid intelligence (HI) systems that integrate high-resolution optoelectronic neuromodulation and neuromorphic hardware. The research aims to demonstrate the ability of these co-designed HI systems to interface with biological neural networks and organoid models, with potential...
- This $370,687 five-year Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports research to develop a multiscale modeling framework for studying the brain and brain disorders, particularly related to autism. The project aims to establish an integrated modeling approach linking cellular-level mechanisms to whole-brain dynamics using spiking neural networks and neural masses. It will also leverage deep Bayesian...
- This National Science Foundation (NSF) Project Grant award under the Engineering program (CFDA 47.041) aims to transform the way artificial intelligence (AI) transfers learned knowledge from simulated environments to real-world applications. The $249,999 project, awarded on June 1, 2025, with a completion date of May 31, 2028, will develop a novel neuro-symbolic framework that integrates advanced hyperdimensional computing and symbolic reasoning. This approach will enable transparent and...
- This federal Project Grant award of $225,000 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CFDA 47.070) program supports a collaborative research project between U.S. and French researchers to study how astrocytes, a type of brain cell, contribute to neural dynamics and information processing in the brain. The project combines computational modeling and experimental observations to investigate the role of astrocytes in modulating neuronal activity...
- This $1,999,112 project grant from the National Science Foundation's Engineering Directorate (NSF ENG) will fund research at The Johns Hopkins University to develop new artificial intelligence techniques inspired by neuroscience models of visual attention. Specifically, the grant aims to translate models of visual attention in mammalian brains into new deep learning algorithms that can greatly reduce the number of variables updated during machine learning. If successful, these brain-inspired...
- 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 Project Grant award from the National Science Foundation's Social, Behavioral, and Economic Sciences (CFDA 47.075) program provides $310,000.00 to the University of Southern California (USC) to conduct research on the theoretical foundations of "NeuroAI" - brain-inspired artificial intelligence (AI) architectures. The goal is to better understand how biological neurons operate during learning and decision-making, with the aim of replicating the energy-efficient computational capabilities of the human brain in future AI systems. The research leverages advanced neuroimaging and sensing techniques to identify living neurons, measure their network growth and biophysical parameters, and develop new computational frameworks for modeling complex neuronal interactions. This 3-year project, running from Oct 2025 to Sep 2028, seeks to lay the scientific and engineering foundations for NeuroAI to enable advancements in AI, biotechnology, and national security applications.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $310.0k | 8/26/25 |