This National Science Foundation (NSF) Project Grant award, funded under the Engineering program (CFDA 47.041), aims to establish closed-loop hybrid intelligence (HI) by co-designing high-resolution neuromodulation and neuromorphic devices for application to cultured neurons and organoids. The key products and services to be delivered through this $200,000 award, with a performance period from June 15, 2025 to May 31, 2028, include: Developing optogenetic cell interfaces composed of close-packed...
The National Science Foundation (NSF) Engineering Directorate awarded a $564,510 Project Grant to the University of Massachusetts (UMass) to develop an engineered neural organoid system with improved brain regionalization and integrated mesh electrodes for enhanced monitoring and stimulation capabilities. The key objectives of this 3-year grant project are to: 1) Assemble regionalized neural organoids that enable thalamus-subpallium-cortex projections by stacking sliced organoids, 2) Innervate...
This Project Grant award, with a total funding amount of $225,000.00 and an award date of September 1, 2024, was provided by the National Science Foundation (NSF) under the Mathematical and Physical Sciences (CFDA 47.049) federal grant program. The primary objective of this award is to develop innovative computing systems inspired by the structure and function of the human brain. Specifically, the project will create advanced human brain organoids (HBOs) - miniature 3D models of the human...
The National Science Foundation (NSF) awarded a $225,000 Project Grant under the CFDA 47.041 Engineering program to Virginia Polytechnic Institute & State University (Virginia Tech) to conduct research on the "Feasibility of 3D Biological Neurocomputers for Intelligent Biomedical Motor Control Systems." The project aims to develop a novel "reservoid" computing paradigm that utilizes biological principles and living cell clusters (spheroids) on fibrous networks to...
The National Science Foundation (NSF) awarded a $1,550,000 Project Grant under the Engineering program (CFDA 47.041) to the University of Maryland, College Park to establish a three-dimensional (3D) network of neurons as a brain analog for biocomputing research. The grant aims to develop a mechanistic understanding of how to train neuronal networks in 3D organoids, relating the structure and physiology of neurons to their role in computation and learning. The project will leverage and extend...
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...
The National Science Foundation (NSF) has awarded a $330,000 Project Grant under the Engineering program (CFDA 47.041) to Yale University. The "NeroFlex" project aims to develop an advanced implantable neural interface platform that integrates optimized resistive RAM memory, programmable analog front-end circuits, and specialized processors for efficient brain data acquisition and computational processing. The research plan encompasses device fabrication, mixed-signal circuit design,...
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 Project Grant award of $238,794 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program supports research to develop efficient and robust artificial intelligence (AI) hardware systems inspired by the human brain. The project aims to leverage novel magneto-electronic (spintronic) technologies to create computational components that emulate neural stochastic functionality. These components will be integrated into in-memory...
This Project Grant award from the National Science Foundation (NSF) under the CFDA program 47.049, Mathematical and Physical Sciences, provides $177,556 to researchers at Harvard University to develop miniaturized chemical computing devices. The goal is to demonstrate first prototypes of these devices and establish a pathway towards energy-efficient neural networks that can be trained on large data sets using a fraction of the energy consumed by current semiconductor-based AI systems. The...