Project Grant 2319617
- This federal Project Grant award, valued at $198,270.00 and provided by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), supports conceptualization, planning, and collaboration activities to develop a comprehensive research roadmap for a novel hybrid CMOS+X in-memory analog computing framework. The planning grant will catalyze multidisciplinary collaboration among experts in materials science, circuit design, neuroscience, and...
- 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) Office of Emerging Frontiers and Multidisciplinary Activities awarded a $1,999,968 Project Grant to the University of California, Santa Barbara (UCSB) under the NSF Engineering (CFDA 47.041) program. This grant aims to develop scalable algorithms and hardware for human-brain-scale neuromorphic systems with practical learning capabilities. The key objectives are to create hardware-friendly local learning algorithms, a framework for continual online...
- This $800,000 Project Grant awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to pioneer a computing system for massive AI workloads. The project will develop new architectural and design automation tools for a reconfigurable-on-package system using "tiny chiplets" - miniaturized composable computing components. This innovative approach seeks to address the challenges related to chiplet definition,...
- 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...
- This National Science Foundation (NSF) Engineering Program (CFDA 47.041) Project Grant award of $100,001 to the University of Wisconsin System, through its University of Wisconsin - Madison division, will advance the development of new magnetoelectric nanostructures for minimally invasive brain monitoring and stimulation. The project aims to create specialized cobalt ferrite (CFO) and barium titanate (BTO) nanoparticles that can be safely injected into the brain to detect neural activity using...
- The University of Michigan was awarded a $390,000 Project Grant from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to develop highly efficient bio-inspired edge computing systems. The project aims to leverage internal ionic, electronic, and thermal dynamic processes in emerging devices and networks to directly process spatiotemporal data with high performance, energy efficiency, and reliability. The research will focus on...
- 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 University of Michigan will receive $393,983 from the National Science Foundation under a three-year Project Grant to develop scaled non-volatile bulk analogue memory for neuromorphic computing. The NSF Division of Electrical, Communications and Cyber Systems awarded the grant through its Engineering program (CFDA 47.041), which seeks to foster innovation in engineering research. Specifically, the University will work to advance memory technologies that can support neuromorphic computing...
- 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,...
This $100,000 federal Project Grant was awarded by the National Science Foundation (NSF) under the Engineering program (CFDA 47.041) to the University of Wisconsin System, through its University of Wisconsin - Madison division. The goal of the project is to design a new class of computer chips, called "Cognitive Computing Machines (C2M)", that are inspired by the cognitive functions of the hippocampus region of the brain. The project aims to leverage recent advancements in 3D integrated circuit technology, processing-in-memory capabilities, and understanding of hippocampal mechanisms to enable rapid and robust decision-making for a range of cognitive applications, including robotics and autonomous systems. The award supports research activities across three complementary threads: (1) neuroscience to identify key organizational and functional principles of the hippocampus, (2) hardware design to functionally mimic hippocampal computing attributes in 3D integrated circuits, and (3) algorithm development to incorporate event-based predictions from the hippocampus-inspired chips with knowledge-based predictions. The project has potential for disruptive impact in fields like robotics and autonomous systems, and will provide cross-disciplinary training opportunities for students, with a focus on underrepresented groups.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $100.0k | 9/15/23 |