Project Grant 2540782
Award Date 6/1/26
Completion Date 5/31/31
Dollars Obligated $414K
Federal Agency
Federal Grant Program
Assistance Type
Project Grant
Place of Performance
Palo Alto, CA 94305, USA
Similar Awards
- Federal Project Grant Award Summary The Leland Stanford Junior University received a $424,237 National Science Foundation (NSF) Computer and Information Science and Engineering (CFDA 47.070) Project Grant awarded September 1, 2026, with completion scheduled for August 31, 2031. This CAREER award funds research to develop a retention-aware computing infrastructure that optimizes memory systems for artificial intelligence (AI) workloads at scale. The project addresses a critical inefficiency in...
- Federal Grant Award Summary The National Science Foundation (NSF) Division of Information and Intelligent Systems awarded a CAREER grant totaling $315,154 to the Regents of the University of California at Riverside on July 1, 2026, under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070). The project, "Redefining Testing Foundations for Heterogeneity-Aware AI Compilation," will operate through June 30, 2031, and develops a cross-layer testing framework to...
- Federal Grant Award Summary The National Science Foundation (NSF) awarded The Leland Stanford Junior University a $677,600 Project Grant on September 15, 2025, under the Mathematical and Physical Sciences program (CFDA 47.049) to develop advanced artificial intelligence (AI) systems capable of proving graduate-level mathematical theorems and tackling unsolved mathematical problems. The primary deliverable is the creation of an AI system trained using novel methodologies that replicate how...
- Federal Grant Award Summary The National Science Foundation (NSF), through its Computer and Information Science and Engineering (CISE) program (CFDA 47.070), awarded $425,875 to The Leland Stanford Junior University on August 1, 2025, for a five-year CAREER grant extending through July 31, 2030. This project delivers novel computational and statistical methods for analyzing neural and behavioral data through the development of state space models (SSMs). The research addresses a critical...
- Federal Project Grant Award Summary The Leland Stanford Junior University received a $450,000 project grant award effective September 1, 2025, through August 31, 2028, from the National Science Foundation (NSF) Division of Computing and Communication Foundations under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070). The project, titled "Computational and Statistical Limits in Generative Sampling," delivers foundational research addressing the...
- Federal Project Grant Award Summary The Leland Stanford Junior University received a $266,000 Project Grant from the National Science Foundation's Division of Information and Intelligent Systems (CISA program, CFDA 47.070) effective October 1, 2025, through September 30, 2029. This collaborative research initiative advances Large Language Model (LLM) unlearning—a technology enabling the targeted removal of harmful data influences, memorized sensitive content, copyrighted material, and unsafe...
- Federal Project Grant Award Summary The National Science Foundation's Division of Information and Intelligent Systems awarded a $503,740 CAREER grant to Stanford University beginning August 1, 2025, under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070). The project develops probabilistic machine learning models and computational tools designed to analyze spatiotemporal data with scalability and accuracy improvements. The core deliverables include modular...
- Federal Grant Award Summary The National Science Foundation (NSF) Division of Information and Intelligent Systems awarded the University of Rhode Island a Project Grant of $341,343 under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) on June 15, 2025, with completion targeted for May 31, 2030. This CAREER award supports the development of tools and methodologies to help data scientists anticipate and prevent unintended systemic errors in machine learning...
- 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 Grant Award Summary The National Science Foundation (NSF) Division of Electrical, Communications and Cyber Systems awarded a $600,000 CAREER grant under the Engineering program (CFDA 47.041) to the University of California, Santa Barbara, effective April 15, 2026, through March 31, 2031. This project grant supports foundational research and algorithm development in Large Language Model (LLM) watermarking techniques designed to embed hidden, decodable signals into AI-generated text. The...