Project Grant 2223725
- The National Science Foundation (NSF) Engineering program (CFDA 47.041) has awarded The Johns Hopkins University a $1,999,508.00 Project Grant to advance the field of Organoid Intelligence (OI). The project seeks to incorporate reward-based learning mechanisms into lab-grown brain organoids to enable more complex and adaptive behaviors, with the goal of creating computing devices that use substantially less energy than today's AI systems. The research team will connect the brain organoids to...
- This $1,090,678 Project Grant awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program supports research to develop computational algorithms that align deep neural networks (DNNs) with human visual processing. The project aims to rectify the growing "misalignment" between the behavior of large-scale DNNs and human cognition as AI systems become more capable. Researchers at Brown University will combine human...
- This $1,998,582 Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) will support the development of biotechnology to grow cellular brain organoids capable of replicating network and activity observed in the human brain. The research team at The University of Texas at San Antonio (UTSA) will integrate these brain organoids into an engineered system and program them to solve increasingly complex associative problems, evaluating how this bioengineering...
- The U.S. National Science Foundation (NSF) awarded a $120,120 CAREER grant under the Computer and Information Science and Engineering (CISE) program to The Johns Hopkins University. The project, titled "DEEPMATTER: A Scalable and Programmable Embedded Deep Neural Network", will develop novel methodologies for optimizing deep neural network (DNN) models to enable their deployment on embedded systems with limited hardware resources and power budgets. The research aims to create new DNN...
- This Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) will provide $1,958,603.00 to the University of California, Santa Cruz (UCSC) to explore whether lab-grown human brain tissues, known as brain organoids, can perform computations similar to artificial intelligence (AI) systems. The award, titled "EFRI BEGIN OI: REINFORCEMENT LEARNING FOR SCALABLE BIOCOMPUTING," will fund the development of tools that allow these brain organoids to...
- This Project Grant award of $310,000.00 was provided by the National Science Foundation's Social, Behavioral, and Economic Sciences (CFDA 47.075) program to the University of Southern California (USC) from October 1, 2025 to September 30, 2028. The goal of this project is to develop mathematical and computational frameworks to investigate how networks of neurons and non-neuronal cells self-organize to perform complex learning and decision-making. The research aims to replicate the...
- 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 $234,610 Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program supports collaborative research at Colgate University to study how the brain uses visual and linguistic information to achieve specific goals. The research aims to advance theories of human cognition and develop more adaptive, human-aligned artificial intelligence (AI) systems. Key project activities include training deep neural networks to predict...
- This $577,409 Project Grant from the National Science Foundation's Social, Behavioral, and Economic Sciences program will fund research at American University to study infant visual object recognition and its implications for computational models of human vision. Over a three-year period from September 2022 to August 2025, researchers will use electroencephalography to analyze how 12-15 month old infants represent and process visual objects. Results will be compared to predictions from...
- This $1.6 million Project Grant from the National Science Foundation's Computer and Information Science and Engineering program will fund research at the University of Pennsylvania from October 2022 through September 2026. The research focuses on developing theoretical tools to build an understanding of why deep neural networks (DNNs) work and when they can fail. Investigators will seek to identify common themes in how artificial and biological systems like the human brain learn. They will...
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 algorithms could enable new AI devices with transformative capabilities when applied to applications such as self-driving cars and medical diagnosis. The work will be conducted in collaboration with sub-awardee Allen Institute, which will assist in aims related to developing computational models of brain circuits, implementing attentional mechanisms, and evaluating their impact on inference and learning. By completing the project objectives over four years, the researchers intend to advance both AI capabilities and workforce training in line with the NSF ENG program's goals of fostering innovation in engineering.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $2.0m | 9/16/22 |
GrantNumber | Description | Subgrantee | Prime Award | Dollars Obligated | Updated At |
|---|---|---|---|---|---|
2005774603S | Allen Institute | Project Grant 2223725 | $1.0m | 12/18/24 |