Project Grant 2544949
- This Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Program (CFDA 47.070) provides $300,000 to the Regents of the University of California at Riverside to conduct research on adapting foundation models for multimodal sequential decision-making. The project aims to develop novel techniques and methods to leverage foundation models, which are complex neural networks trained on large datasets, to improve the performance of...
- The National Science Foundation (NSF) awarded a $300,000 Project Grant under the Computer and Information Science and Engineering (CISE) program to the University of Wisconsin System for the project "Collaborative Research: III Small: Towards Large Open-World Foundation Models: Construction, Adaptation, and Deployment." The project, running from August 1, 2025 to July 31, 2028, aims to develop new algorithms, theorems, and systems to improve the reliability of advanced artificial...
- The National Science Foundation awarded a $174,187 two-year Project Grant to Worcester Polytechnic Institute under the Computer and Information Science and Engineering program (CFDA #47.070). The grant supports research into optimization and sampling algorithms with provable generalization and runtime guarantees, and their applications to deep learning. The Computer and Information Science and Engineering program aims to advance computing and communication sciences through investigator-initiated...
- This Project Grant award from the National Science Foundation (CFDA 47.070 - Computer and Information Science and Engineering) provides $124,998 to Worcester Polytechnic Institute (WPI) to advance robotic manipulation capabilities in unstructured real-world environments. The research aims to enable robots to autonomously learn abstract representations of states and actions from sensory and execution data, enhancing their ability to plan and execute complex tasks. The project intends to...
- This federal Project Grant award for $170,544 was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070). The grant was awarded on August 15, 2025 to Worcester Polytechnic Institute (WPI) and is scheduled for completion by July 31, 2026. The objective of this research project is to develop innovative methods for commitment-based distributed cooperative planning and learning among autonomous agents....
- This Project Grant award of $333,000 was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070). The grant aims to develop a novel "neurosymbolic programming framework" called "Foundation Model Programming" that can generate symbolically interpretable scientific hypotheses from high-dimensional observational data. The key products and services to be delivered under this 3-year...
- This $333,667 Project Grant award, funded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE, CFDA 47.070) program, supports the development of a novel "neurosymbolic programming framework" called Foundation Model Programming. The project aims to generate symbolically interpretable scientific hypotheses from high-dimensional observational data, by representing hypotheses as neurosymbolic programs that leverage both symbolic...
- Worcester Polytechnic Institute received a five-year, $708k Project Grant from the National Science Foundation under the Computer and Information Science and Engineering program (CFDA 47.070). The grant will support the development of new scientific instruments for classroom observation using a multi-modal machine learning approach. The goal is to advance the development and use of research cyberinfrastructure to enable and accelerate discovery and innovation in computing, communications, and...
- This $174,995 Project Grant awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program supports research to understand and optimize the role of human intelligence in data integration and discovery pipelines, especially in the context of emerging large language models (LLMs) like ChatGPT. The project will investigate fundamental questions about human involvement in these data processes, uncover relevant human biases, and...
- This Project Grant award of $300,000 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports research by the Texas A&M Engineering Experiment Station (Tees) to develop machine learning models for learning structural frameworks of an agent's dynamic decision-making behavior. The project aims to advance state-of-the-art methodologies for learning structural models of control by considering diverse data types, including...
The National Science Foundation (NSF) awarded a $277,789 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to Worcester Polytechnic Institute (WPI) to develop novel techniques and methods for adapting foundation models to multimodal sequential decision-making. The project aims to significantly increase the applicability of foundation models, which leverage complex neural networks trained on vast data, for a wide range of sequential decision-making applications such as smart manufacturing, multi-agent systems, and human-machine interaction. The research will be conducted over 2.5 years, from July 1, 2025 to December 31, 2027, and will involve progressively more complex sequential decision-making problems across textual, visual, and multimodal modalities.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $277.8k | 9/10/25 |