Project Grant 2515371
Award Date 9/1/25
Completion Date 8/31/29
Dollars Obligated $2M
Federal Grant Program
Assistance Type
Project Grant
Place of Performance
Fountain Hill, PA 18015, USA
Similar Awards
- This $200,000 Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) aims to establish a closed-loop hybrid intelligence (HI) framework that connects biological and physical computing systems. The research project will co-design high-resolution optoelectronic neuromodulation and neuromorphic hardware to enable closed-loop interfacing with cultured neurons and organoids. The HI system will showcase the power of optogenetic-neuromorphic co-design for...
- The National Science Foundation (NSF) awarded a $2,000,000 Project Grant under the Engineering program (CFDA 47.041) to the University of California, Irvine to develop and assess the feasibility of 3D biological neural networks (3DNNs) for intelligent biomedical motor control systems. The objectives are to establish methods to fabricate robust, reliable, and reproducible 3DNNs, and to develop core principles to program them with intelligent behavior. This research aims to demonstrate...
- This $2,000,000 Project Grant awarded by the National Science Foundation's (NSF) Engineering program (CFDA 47.041) will support a research project at Boise State University to explore how brain-like structures grown in the lab, known as brain organoids, can be trained to control muscle contractions. The goal is to harness the power of biological neural networks to create low-power, adaptable computing systems that could have applications in healthcare, robotics, and national defense. The...
- 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 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 $400,000 Project Grant award from the National Science Foundation (NSF) Engineering Program (CFDA 47.041) supports the development of a new hardware system designed to meet the increasing computational demands for sophisticated multi-scale brain models. The project aims to bridge the timescales between cognitive phenomena and the underlying neuronal processes, enabling more detailed computer simulations to advance fundamental neuroscience research and the translation of biological...
- 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 $2 million Project Grant from the National Science Foundation's Office of Emerging Frontiers and Multidisciplinary Activities will fund research at Cornell University from October 2022 through September 2026 under the federal Engineering program (CFDA 47.041). The grant aims to advance neuromorphic computing by developing algorithms and computational models inspired by biological neural circuits. Researchers will extract principles from neuroscience to design a neural network architecture...
- This National Science Foundation (NSF) Engineering (CFDA 47.041) Project Grant award to Carnegie Mellon University (CMU) provides $500,000 in funding from July 1, 2024 to June 30, 2027 to develop a new computational framework for predicting neuron growth and transport regulation in biological neural circuits (BNCs). The project aims to advance knowledge of the fundamental mechanisms of neural growth, material transport regulation, and circuit dynamics through three specific objectives: (1)...
- The National Science Foundation (NSF) awarded a $600,000 Project Grant to Carnegie Mellon University under the Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070). The 3-year project, running from June 1, 2025 to May 31, 2028, aims to investigate the computational mechanisms underlying a recently discovered neural process in the brain - the ability of neurons in the early visual cortex to rapidly form local recurrent circuits. The project seeks to...