Project Grant 2550889
- Federal Grant Award Summary The National Science Foundation's Division of Information and Intelligent Systems awarded a $299,998 Project Grant to the University of Nebraska (Board of Regents) under the Computer and Information Science and Engineering program (CFDA 47.070) effective September 1, 2025, through February 28, 2027. This Exploratory (EAGER) research initiative seeks to develop a bio-hybrid computing system leveraging bacterial gene regulatory artificial neural networks (GR-ANN) for...
- The National Science Foundation Division of Information and Intelligent Systems awarded the Board of Regents of the University of Nebraska $433,609 on July 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop trustworthy artificial intelligence frameworks for network autonomy in Open Radio Access Networks (O-RAN) supporting next-generation 6G mobile networks. The research program will design domain-informed AI/ML innovations addressing three...
- The National Science Foundation Division of Information and Intelligent Systems awarded $400,000 to the Regents of the University of Michigan on September 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) for collaborative research on neuro-AI foundations for long-range dependency tasks. The project develops spiking neural networks (SNNs) that efficiently handle long-range dependencies and generative tasks in edge-based AI systems by reconceptualizing SNNs...
- The National Science Foundation Division of Information and Intelligent Systems awarded George Mason University $50,000 on July 15, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop brain-inspired artificial intelligence systems that operate with improved energy efficiency and adaptability. The project, titled CAREER: CORTEX—Next-Generation Computing with Brain-Inspired Resilient, Transformative, and Explainable Intelligence, translates...
- The National Science Foundation Office of Integrative Activities awarded the Board of Regents of the University of Nebraska $300,000 on May 1, 2026, under the Integrative Activities program (CFDA 47.083) to develop an artificial intelligence test platform for analyzing plant single-cell protein data. The recipient will create user-friendly tools that integrate protein and gene data, allowing plant scientists to query emerging single-cell proteomics and transcriptomics through natural language...
- The National Science Foundation Division of Information and Intelligent Systems awarded the University of South Florida $301,642 on August 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop memory-centric hardware architectures for energy-efficient artificial intelligence inference on edge devices. The project runs through July 31, 2029, and addresses the challenge of deploying AI in power-constrained, compact devices such as wearable health...
- This federal Project Grant award of $39,275 was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) federal grant program. The award supports the development of a novel system architecture with emerging devices and circuits to create intelligent computing systems based on ensembles of stochastic processing elements. This work aims to address the growing energy consumption and resource demands of advanced artificial...
- 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...
- The National Science Foundation Division of Information and Intelligent Systems awarded The Washington University $679,322 on July 1, 2026, under the Computer and Information Science and Engineering program to investigate neuromorphic Ising machines using single-electron Fowler-Nordheim annealing networks for combinatorial optimization. The project develops sampling techniques and scalable optimization methods that exploit quantum statistics, operate at non-cryogenic temperatures, and use...
- The National Science Foundation Division of Information and Intelligent Systems awarded George Washington University $380,000 on July 15, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop artificial intelligence algorithms and specialized hardware for efficient analysis of complex biological networks in molecular biology and genomics. The project runs through June 30, 2030, with performance at Washington, DC. The work addresses scalability...
The National Science Foundation Division of Information and Intelligent Systems awarded the Board of Regents of the University of Nebraska $782,358 on August 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop artificial non-neural networks inspired by bacterial gene regulatory mechanisms for energy-efficient artificial intelligence on edge computing devices. The research unfolds across three interconnected thrusts. The first thrust investigates fundamental mechanisms enabling bacterial gene regulatory networks to exhibit persistent regulatory memory, asynchronous information processing, and context awareness. The second develops mathematical models and learning algorithms that translate these principles into artificial non-neural network architectures for edge artificial intelligence. The third creates software tools enabling deployment on field programmable gate arrays, with the resulting framework benchmarked against conventional approaches. The work addresses a core constraint in current artificial intelligence systems: their requirement for powerful computing infrastructure and high energy consumption, which limits deployment in small, low-power devices such as sensors, wearables, and remote monitoring systems. By harnessing bacterial information-processing strategies, the project aims to produce lightweight, energy-efficient artificial intelligence systems capable of operating on resource-constrained hardware. Performance occurs at the University of Nebraska's Lincoln, Nebraska campus from August 1, 2026, through July 31, 2029. This is a project grant, the standard assistance type for investigator-initiated research under CISE programs.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $782.4k | 7/29/26 |