Project Grant 2509217
- This Project Grant award titled "BIO-AI: The Mechanistic and Theoretical Foundations of Exploratory Learning in Rats" is funded by the National Science Foundation's Biological Sciences (CFDA 47.074) Federal Grant Program. The $1,450,000 award, effective from August 1, 2025 to July 31, 2030, is being provided to Trustees of Indiana University (Indiana University) to conduct research aimed at understanding the mechanisms behind spatial memory and navigation in rats, and translating those...
- The National Science Foundation (NSF) awarded a $174,229 Project Grant under the Computer and Information Science and Engineering (CISE) program to Michigan Technological University. The grant, awarded on October 1, 2023, with a completion date of September 30, 2025, is focused on developing a self-learning neuromorphic robot system that can operate efficiently in resource-constrained environments. The key objectives of this research project are to: 1) create a neuromorphic robot that utilizes...
- 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 Project Grant from the National Science Foundation's $150,000 Biological Sciences program (CFDA 47.074) supports research from October 1, 2022 to September 30, 2026 to translate insights from sleep biology to improve continual learning in artificial neural networks. The University of California San Diego will study multi-phasic sleep patterns across the honeybee brain using electrophysiological experiments. This will inform computational models of sleeping neural networks to enhance deep...
- This $198,141 project grant awarded by the National Science Foundation's Biological Sciences program (CFDA 47.074) seeks to enhance predictive understanding of global species distributions through the development of advanced generative artificial intelligence (AI) models. The project aims to create a versatile foundation model that can be used by scientists, conservationists, and educators to better understand and protect the natural world. By training this model on a vast array of environmental...
- This National Science Foundation (NSF) Biological Sciences (CFDA 47.074) project grant awarded to Ohio University will develop comprehensive artificial intelligence (AI) tools to analyze camera trap images of animals from around the world. The goal is to understand animal coloration and the mismatch in seasonal camouflage as environments change due to climate change. The $850,107 award, effective September 1, 2025 through August 31, 2029, will support the research team's efforts to create...
- 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...
- The National Science Foundation (NSF) Biological Sciences program awarded a $124,997 project grant to the University of Massachusetts Boston from October 1, 2023 to September 30, 2025. The grant supports the development of a multimodal machine learning method to simultaneously analyze electroencephalogram (EEG) data and animal behavior data to study group behavior, particularly sleep patterns. The project aims to create a "dictionary" of animal movements and behaviors and incorporate...
- 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...
- This National Science Foundation (NSF) award under the Social, Behavioral, and Economic Sciences (CFDA 47.075) program provides $250,700 to The Trustees of Columbia University in the City of New York to investigate how decisions about data, software design, and interpretation shape the scientific outcomes of using AI-based behavioral tracking tools for studying animal behavior. The project will conduct a comparative assessment of several widely-used AI-based tools to understand how different...
The National Science Foundation (NSF) Biological Sciences program (CFDA 47.074) awarded a $500,000 Project Grant to Northwestern University to investigate how animals' use of imagination underlies their biological learning advantage compared to current artificial intelligence (AI) systems. The 3-year project, beginning September 1, 2025, will conduct first-of-its-kind experiments monitoring animal brain activity during avoidance of an autonomous robot threat. The researchers will then use advanced machine learning methods to compare animal performance and develop new AI technologies to capture the high efficiency of biological learning. This project aims to address the growing energy demands of AI and help maintain U.S. technological leadership by improving the energy efficiency of machine intelligence relative to biological intelligence.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $500.0k | 7/23/25 |