Project Grant 2449151
- This $550,000 Project Grant award from the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (CFDA 47.084) program supports the development of generative artificial intelligence (AI)-powered products that enable humans to interact and converse with books and other documents. The key products being developed include: Technology to represent the informational content of books and document discussions as a knowledge graph, which will then be used to ground large...
- This federal Project Grant award, provided by the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (CFDA 47.084) program, supports the development of an open-source ecosystem for rapid and scalable artificial intelligence (AI) application creation. The $320,000 award to the Regents of the University of Michigan will establish a foundation for a sustainable open-source ecosystem around a novel AI development stack designed to address key barriers in deploying...
- This $400,000 project grant awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program supports research to develop a systematic framework for visualizing, understanding, and rewriting the learned computations of multimodal generative AI models. The key objectives are to: 1) create new methodologies to visualize the internal mechanisms and hierarchical structures of pre-trained multimodal generative models, 2) explore model...
- The National Science Foundation (NSF) awarded a $675,000 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to Carnegie Mellon University. The grant, spanning October 2025 to September 2028, aims to improve the ability of Large Language Models (LLMs) to generate high-quality computer source code by deeply integrating program analysis techniques into the LLM lifecycle, including training, code generation, and evaluation. The project will develop novel...
- This $300,000 Project Grant was awarded on September 1, 2025 by the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049). The grant will fund research at Carnegie Mellon University to develop mathematically sound approaches for sampling and generative modeling in high-dimensional problems, which is critical for advancing machine learning and artificial intelligence (AI) techniques. The research aims to create efficient sampling methods with rigorous...
- This $545,359 Project Grant was awarded on August 1, 2025 by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070). The grant supports the development of a new generation of generative artificial intelligence (AI) models designed to learn causal models and enable robust causal reasoning and meaningful abstraction. The research aims to deliver interpretable, verifiable, and robust generative AI systems that...
- The National Science Foundation (NSF) awarded a $900,000 Project Grant to Cornell University under the Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070). The project, titled "Understanding and Supporting the Effectiveness of Groups Working with Generative AI," aims to investigate how generative AI tools like ChatGPT and Microsoft Copilot affect team dynamics, relationships, and individual well-being in collaborative work settings. Leveraging...
- This $200,000 Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences (CFDA 47.049) program will enable Carnegie Mellon University (CMU) to develop advanced spatiotemporal foundation models and generative AI capabilities for large-scale multimodal threat detection. The project aims to create new data representations and neural network architectures to scale up existing spatial detection algorithms, enabling the rapid deployment of analytical...
- This National Science Foundation (NSF) Project Grant award under the Computer and Information Science and Engineering (CFDA 47.070) program aims to develop software frameworks that can efficiently serve and deploy machine learning models for a variety of AI-powered applications. The $600,000 award, spanning from October 2024 to September 2027, tasks the prime awardee, Georgia Tech Research Corporation, with creating agile mechanisms and policies to serve a family of AI models across...
- The National Science Foundation (NSF) awarded a $600,000 Project Grant under the Computer and Information Science and Engineering (CISE) program to New York University (NYU) to investigate the risks of AI-generated code in the software supply chain. The 3-year project, which began on June 1, 2024, aims to: (i) develop techniques to distinguish human-written code from AI-generated code, (ii) measure the prevalence and security implications of AI-generated code in open-source software, and (iii)...
The National Science Foundation (NSF) awarded a $1,500,000 Project Grant under the Technology, Innovation, and Partnerships (CFDA 47.084) program to Carnegie Mellon University. The grant, titled "POSE: Phase II: An Open-Source Ecosystem for Universal and Accessible Generative Artificial Intelligence (AI) Deployments," aims to develop a foundational software infrastructure that supports generative AI applications across a range of environments, from cloud platforms to mobile devices. The project centers on creating an open-source ecosystem that enhances the flexibility and accessibility of generative AI deployments, enabling users to make informed decisions regarding cost, accessibility, and data privacy. The award period is from September 1, 2025, to August 31, 2027.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $1.5m | 8/20/25 |