Project Grant 2543547
- Federal Project Grant Award Summary Purdue University received a $357,921 CAREER (FacultyearlyCareerDevelopment) Project Grant from the National Science Foundation's (NSF) Division of Computing and Communication Foundations (Computer and Information Science and Engineering program, CFDA 47.070) effective July 1, 2026 through June 30, 2031. The award funds research and algorithmic development focused on structure-aware machine learning, with the goal of creating more reliable, data-efficient, and...
- Federal Grant Award Summary Purdue University received a $401,546 CAREER award from the National Science Foundation's Division of Information and Intelligent Systems (Computer and Information Science and Engineering program, CFDA 47.070) effective June 1, 2026 through May 31, 2031. The project, titled "PTM-SEER: Software Engineering Foundations for Re-Using Pre-Trained Neural Models," addresses the engineering challenges associated with discovering, evaluating, adapting, and...
- Federal Grant Award Summary Purdue University received a $391,123 CAREER award from the National Science Foundation (NSF) Division of Information and Intelligent Systems under the Computer and Information Science and Engineering program (CFDA 47.070), effective September 1, 2026 through August 31, 2031. The project develops novel formal methods techniques and a trustworthy framework for software developers to rigorously explore, examine, and understand the behavior of potentially flawed...
- Federal Project Grant Award Summary Purdue University received a $326,628 National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Program (CFDA 47.070) CAREER award effective July 1, 2026, through June 30, 2031. This project, titled "Distributed Large-Scale Machine Learning with Security Guarantees," addresses critical vulnerabilities in decentralized artificial intelligence (AI) development by creating verification mechanisms and security tools that...
- Federal Project Grant Award Summary Purdue University received a $600,000 Project Grant from the National Science Foundation's Division of Information and Intelligent Systems under the Computer and Information Science and Engineering program (CFDA 47.070) effective August 1, 2025, through July 31, 2028. The award funds research and development of gradient-based discrete Markov Chain Monte Carlo (GD-MCMC) algorithms designed to improve sampling efficiency and statistical reliability for machine...
- Federal Project Grant Award Summary The National Science Foundation's Division of Information and Intelligent Systems awarded a five-year Computer and Information Science and Engineering (CISE) CFDA 47.070 project grant of $476,440 to Princeton University, effective September 1, 2025 through August 31, 2030. This CAREER award supports research on unsupervised and autonomous reinforcement learning of artificial intelligence (AI) skills, addressing fundamental challenges in how AI models learn...
- Federal Grant Award Summary Purdue University received a $660,000 project grant awarded by the National Science Foundation's Office of Advanced Cyberinfrastructure under the Computer and Information Science and Engineering (CFDA 47.070) program on July 15, 2025, with completion scheduled for June 30, 2028. The project delivers a suite of high-performance multi-stream foundation models and optimized algorithms designed to advance deep learning capabilities for complex multimodal tasks. Key...
- Federal Project Grant Award Summary Award Details: The National Science Foundation (NSF) Division of Electrical, Communications and Cyber Systems awarded a Project Grant totaling $374,060 to Purdue University for collaborative research spanning October 1, 2025, through September 30, 2028, under the Engineering program (CFDA 47.041). Research Objectives and Deliverables: This collaborative research initiative focuses on developing the Diffusive Ferroelectric Field-Effect Transistor (DFEFET), a...
- Federal Project Grant Summary The University of Illinois received a $420,719 CAREER Project Grant from the National Science Foundation's Division of Information and Intelligent Systems (Computer and Information Science and Engineering program, CFDA 47.070) effective July 1, 2026 through June 30, 2031. This award supports research to enable ultra-low-cost, cloud-free artificial intelligence (AI) data processing at the edge by designing integrated hardware and software foundations that co-locate...
- Federal Project Grant Award Summary Brown University received a $477,430 CAREER award from the National Science Foundation (NSF) Division of Information and Intelligent Systems under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) effective June 1, 2026, through May 31, 2031. The award supports the development of a unified high-level synthesis and programming framework designed to simplify the design and programming of heterogeneous computing systems that...
Purdue University received a $366,820 Computer and Information Science and Engineering (CISE, CFDA 47.070) Project Grant from the National Science Foundation's Division of Information and Intelligent Systems, effective July 1, 2026 through June 30, 2031. This CAREER award supports the development of efficient and scalable neuro-symbolic cognitive computing platforms on three-dimensional integrated circuits and systems. The project delivers a co-design framework that bridges neuro-symbolic artificial intelligence (AI) models with memory-centric hardware architectures, optimizing performance across silicon CMOS technology, emerging devices, and advanced 3D integration schemes. Key deliverables include the design and development of programmable neuro-symbolic accelerator chips that enable real-time cognitive AI capabilities for applications ranging from smart devices to data center environments. In parallel with hardware research and development activities, the project generates educational products and workforce development materials in neuro-symbolic AI and semiconductor technologies. Specific education-focused deliverables include new course materials and hands-on learning experiences for university students and K-12 educators, designed to enhance AI and semiconductor literacy while addressing workforce development priorities in the semiconductor industry. Together, the research and education components advance computing foundations necessary to support future AI systems capable of advanced reasoning, logical thinking, and multi-step problem-solving in dynamic real-world environments.Federal Project Grant Award Summary
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $366.8k | 5/13/26 |