Project Grant 2629849
- The National Science Foundation Division of Computing and Communication Foundations awarded The Trustees of The University of Pennsylvania $300,000 on September 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop statistical foundations for large language models that advance reliability, transparency, and accountability in AI systems. The project addresses limitations in large language model outputs—including overconfident errors, hidden biases in...
- The National Science Foundation Division of Computing and Communication Foundations awarded the University of Pennsylvania $354,579 on June 1, 2026, under the Computer and Information Science and Engineering program to develop a science of AI reliability that identifies failure modes in AI systems and designs methods to make them more dependable in high-stakes applications such as medical diagnosis. The research characterizes why transformer-based AI systems learn brittle shortcuts rather than...
- The National Science Foundation Division of Information and Intelligent Systems awarded The Pennsylvania State University $400,000 on September 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to support collaborative research on neuro-AI foundations for long-range dependency tasks. The project addresses fundamental challenges in enabling spiking neural networks to efficiently handle long-range dependencies and generative tasks for edge-based AI...
- The National Science Foundation Division of Computing and Communication Foundations awarded the University of Pennsylvania $989,917 on July 15, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop a query optimization framework for data systems that combine structured tables, the open web, and large language models. The project will create offline and online optimization mechanisms to improve search, combination, and verification of information...
- The National Science Foundation Division of Computing and Communication Foundations awarded The Pennsylvania State University $292,743 on August 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop artificial intelligence systems that understand physical scenes through structural abstraction rather than dense pixel-by-pixel reconstruction. The project advances AI's capacity for common-sense physical reasoning by extracting semantically rich...
- The National Science Foundation Division of Computing and Communication Foundations awarded The Pennsylvania State University $369,905 on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop educational materials, practical tools, and a website enabling high school and undergraduate learners to investigate how large language models handle copyrighted and private information, collect evidence of vulnerabilities, and communicate their...
- The National Science Foundation Division of Computing and Communication Foundations awarded the University of Maryland, College Park $400,000 on August 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop methods for efficient multilingual large language model development through cross-lingual alignment transfer. The project develops technologies to reduce redundancy in multilingual AI model adaptation by reimagining multilingual model...
- The National Science Foundation Division of Research on Learning in Formal and Informal Settings awarded the University of Pennsylvania $223,210 on July 1, 2026, under the STEM Education program (CFDA 47.076) to develop and research language-based artificial intelligence curriculum modules for high school students. The project will develop a two-hour introductory AI module and three five-hour modules integrating AI concepts into mathematics, English language arts, and history instruction. The...
- The National Science Foundation Division of Computing and Communication Foundations awarded The Johns Hopkins University $357,069 on August 15, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop interpretable artificial intelligence systems that help researchers identify cross-cutting connections across the scientific literature and accelerate discovery. The project creates large language model-based frameworks designed to recognize structural...
- The National Science Foundation Division of Computing and Communication Foundations awarded the University of Massachusetts Lowell $341,598 on July 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) for research on learning dynamics, linguistic complexity, and robustness in neural language models. The award funds development of linguistically grounded methods for controlled text generation and paraphrasing that enable neural language models to follow...
The National Science Foundation Division of Computing and Communication Foundations awarded the University of Pennsylvania $376,493 on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to investigate language as an interface to multimodal artificial intelligence architectures rather than as the foundation of intelligence itself. The project, running through September 30, 2028, tests an early-stage architectural hypothesis in which language is explicitly coupled with structured, inspectable, and updateable non-linguistic representations of perception and reasoning. The work defines a minimal language-facing representation including objects, attributes, and relations, and evaluates whether linguistic expressions connected to such structured representations can serve as an effective interface to intelligence. The research is positioned as high-risk because it tests an untested architectural direction rather than incrementally improving existing systems through larger datasets, fine-tuning, or prompting techniques. The project aims to establish a new architectural direction for multimodal AI applicable to education, science, medicine, robotics, and human-computer interaction while training students in interdisciplinary methods connecting language, vision, cognitive science, and AI evaluation. Work is performed in Philadelphia, Pennsylvania.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $376.5k | 7/26/26 |