Project Grant 2608702
- The National Science Foundation Division of Information and Intelligent Systems awarded the University of Louisiana at Lafayette $299,927 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 at the edge. The research addresses artificial intelligence deployment in resource-constrained devices including wearables, environmental sensors,...
- Federal Grant Award Summary Louisiana Tech University received a $189,936 Project Grant from the National Science Foundation (NSF), Division of Social, Behavioral, and Economic Sciences (CFDA 47.075) on September 1, 2025, to conduct research addressing artificial intelligence (AI) acceptance in rural coastal communities. The three-phase project will deliver research findings and methodologies focused on understanding and improving how AI systems incorporate local knowledge from rural...
- The National Science Foundation awarded Louisiana State University $302,955 on September 1, 2026, under the Integrative Activities program (CFDA 47.083) to develop a systematic measure of AI-mediated appropriability risk—the extent to which a field's open scientific record, combined with frontier AI capabilities, allows outsiders to predict and potentially preempt near-term research outputs. The project addresses three connected research questions. The team develops a measurement instrument...
- The National Science Foundation Division of Computer and Network Systems awarded Tulane University $599,936 on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop compiler-based defenses against reverse engineering of deployed deep neural network binaries. The project develops techniques to protect AI models compiled into machine code on mobile devices, cloud servers, embedded systems, and other hardware by leveraging compiler optimization...
- The National Science Foundation Office of Advanced Cyberinfrastructure awarded the University of Massachusetts Lowell $499,490 on August 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to plan a federated, AI-ready cyberinfrastructure serving advanced microscopy, imaging, materials, biology, and environmental sciences domains. The project will investigate feasibility, community acceptance, and design requirements for a national data system that enables...
- The National Science Foundation Division of Information and Intelligent Systems awarded Georgia TECH Research Corp $386,963 on July 15, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to conduct research treating artificial intelligence data center infrastructure as a cyber-physical system that responds to hardware thermal and power constraints during distributed training. The project addresses a fundamental gap in AI training systems: current software...
- The National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation awarded Louisiana TECH University $185,210 on June 1, 2026, for research developing adaptive and explainable anomaly detection methods in multivariate time series data under changing operating conditions. The project, funded through the Engineering program (CFDA 47.041), will create a unified framework formulating anomaly detection as a reinforcement learning-based sequential decision-making process....
- The National Science Foundation Division of Information and Intelligent Systems awarded Boise State University $499,837 on August 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop transformative AI hardware that integrates photonic and electronic computing chips near memory through vertical 3D assembly, reducing data transfer costs and energy consumption for artificial intelligence computing. The project, titled "3D-PFLOPS: 3D Integrated...
- The National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation awarded Louisiana State University $425,998 on September 1, 2026, to develop AI-enabled digital twins for predicting and managing cascading disruptions in freshwater infrastructure systems under the Engineering program (CFDA 47.041). The research advances three primary directions: enabling AI-driven predictive digital twins for small and mid-sized freshwater infrastructure systems; developing...
- The National Science Foundation awarded Georgia TECH Research Corp $300,000 on April 1, 2026, under the NSF Technology, Innovation, and Partnerships program (CFDA 47.084) to expand an open-source ecosystem for machine learning-driven high-level synthesis (HLS) design, evaluation, and benchmarking. The award funds development of unified interfaces, standardized evaluation metrics, and modular infrastructure for reproducible benchmarking and design space exploration in HLS-based hardware...
The National Science Foundation Office of Advanced Cyberinfrastructure awarded Louisiana TECH University $599,982 on August 1, 2026, to develop open cyberinfrastructure for automated synthesis of AI models to hardware under the Computer and Information Science and Engineering program (CFDA 47.070). The project establishes a shared, open platform that enables automated, interoperable, and reproducible translation of AI models into optimized hardware designs. The work develops a unified, open compiler infrastructure that automates translation of AI models into application-specific integrated circuit (ASIC) and field-programmable gate array (FPGA) hardware, with emphasis on interoperability, extensibility, and reproducibility across the full design flow. The platform introduces new and extended intermediate representations that connect existing machine learning and hardware compiler ecosystems, preserving dataflow structure, tensor properties, and execution semantics continuously from model specification to hardware implementation. Deliverables include open-source software, standardized interfaces, training materials, course modules, and workshops to lower barriers for universities, small businesses, and under-resourced institutions to participate in advanced AI hardware development. The project targets innovation acceleration in healthcare, environmental monitoring, and edge computing while strengthening workforce development and expanding access to advanced AI chip design capabilities. Work is performed in Ruston, Louisiana, with a period of performance from August 1, 2026, through July 31, 2029. The assistance type is Project Grant.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $600.0k | 7/30/26 |