Project Grant 2403559
- This NSF CISE (CFDA 47.070) Project Grant award of $336,655 to The Pennsylvania State University, doing business as Penn State, aims to develop novel physical reservoir computing architectures that harness the unique properties of ion-channel-based memristors. The project, running from May 2024 to April 2027, seeks to (1) understand how the specific properties of the memristors can be leveraged for reservoir computing, (2) design tailored architectures combining the reservoir and readout layers,...
- This Project Grant award for $200,000 from the National Science Foundation (NSF) Engineering program (CFDA 47.041) supports research by Southern Illinois University Carbondale (SIU) to develop hardware-constraint-aware design and optimization techniques for memristor-crossbar-array (MCA) based neural network accelerators. The research aims to bridge the gap between software design tools and the physical limitations of MCA hardware, enabling more efficient and cost-effective development of...
- This federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program provides $198,270.00 to support conceptualization, planning, and collaboration activities aimed at formulating a comprehensive research roadmap for a novel hybrid CMOS+X in-memory analog computing framework. The grant will catalyze multidisciplinary collaboration among experts in materials science, circuit design, neuroscience, and artificial...
- The National Science Foundation (NSF) awarded a $296,037 Project Grant under the Integrative Activities program (CFDA 47.083) to the University of Alabama for research on memristor-based computing-in-memory (CIM) for neuromorphic AI systems. The project aims to investigate the design, optimization, and fabrication of memristor-based CIM technologies to improve the energy efficiency of AI applications like ChatGPT and generative media platforms. The two-year award, which runs from December 2025...
- 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...
- The University of Oklahoma was awarded a $189,000 Project Grant by the National Science Foundation's Integrative Activities program (CFDA 47.083) on May 1, 2025. The project aims to develop a novel hybrid CMOS+X-based in-memory analog computing framework that utilizes industry-scale 3D NAND flash memory chips and academic laboratory-scale molecular memristors. This framework seeks to emulate the efficiency of the human brain by creating trillions of artificial synapses and nano-scale nonlinear...
- The National Science Foundation (NSF) Directorate for Engineering (CFDA 47.041) awarded a $360,000 project grant to the Regents of the University of Michigan to conduct research advancing key knowledge and techniques for creating electronic devices for fabrication of future artificial intelligence systems. The grant supports fundamental research to explore critical device physics knowledge for the realization of new memristive switching devices (memristors) based on 2D nanomaterials, which could...
- This National Science Foundation (NSF) project grant award under the Engineering program (CFDA 47.041) provides $275,000 to develop a novel brain-inspired processor-in-memory system powered by environmentally-sustainable carbohydrate-based memristors. The key objectives are to create an energy-efficient, renewable, and ecologically-friendly computing solution to address sustainability challenges in artificial intelligence (AI) systems and computing devices. The project will leverage innovative...
- This $275,000 federal Project Grant awarded by the National Science Foundation (NSF) Engineering program (CFDA 47.041) is supporting the development of a novel, environmentally-sustainable processor-in-memory system powered by carbohydrate-based memristor devices. The project aims to address the environmental impact of conventional computing architectures by creating an energy-efficient, renewable, and ecologically-friendly processor design. Key activities include: Developing innovative...
- This National Science Foundation (NSF) Project Grant award under the Computer and Information Science and Engineering (CFDA 47.070) program will establish a closed-loop hybrid intelligence framework that combines high-resolution optoelectronic neuromodulation and neuromorphic hardware to interface with biological neural networks and organoid models. The $225,000 award, with a performance period from June 2025 to May 2028, aims to develop engineering tools and methods that could impact AI...
This $134,956 Project Grant, awarded on May 1, 2024 by the National Science Foundation's (NSF) Division of Computing and Communication Foundations (CFDA 47.070), supports the development of novel reservoir computing architectures that leverage ion-channel-based memristors (ICMs) at the University of Mississippi. The goal is to create brain-inspired, energy-efficient hardware for applications in signal processing, AI, and post-silicon technologies. Key objectives include understanding how ICM properties can enable reservoir computing, designing tailored architectures, validating the approach using ICM crossbar arrays, and generalizing the architecture for use with other memristors. This project aims to advance the state-of-the-art in biomolecular neural networks and energy-efficient, reconfigurable computing hardware. No sub-awards are planned for this effort.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $135.0k | 4/16/24 |