Project Grant 2516629
- This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program, with a total funding amount of $285,000, will support research to address ambiguous language in visual question answering (VQA) systems. The project aims to develop an AI model that can identify all relevant image regions related to a question, rather than providing a single answer, in order to empower users to recognize and resolve ambiguous questions. The...
- This Project Grant from the National Science Foundation's $524,474 Computer and Information Science and Engineering program will support the development of artificial intelligence systems capable of understanding general real-world tasks and providing step-by-step visual and language guidance to solve complex problems. Over a three-year period from June 2022 to May 2025, researchers at the University of Minnesota will create a new dataset annotating diverse everyday tasks and solutions,...
- This Project Grant award of $175,000 from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program advances trustworthy artificial intelligence (AI) by developing methods to integrate large language models with structured knowledge graphs. The research, conducted by the University of California, Merced, aims to create more reliable and accurate AI-powered question answering systems. The key technical advances include synergistic knowledge...
- This federal Project Grant award of $432,656 from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program supports collaborative research to better align how artificial intelligence (AI) language models and humans process language. The primary goal is to understand why AI models, such as ChatGPT, do not process language in the same way as humans, particularly around handling temporary semantic ambiguity. The researchers will benchmark the AI models...
- This Project Grant award from the National Science Foundation's Computer and Information Science and Engineering (CISE) program provides $375,587 to the Trustees of Boston University to conduct research aimed at improving the accessibility of AI-based systems for users with low vision. The project will create the first large-scale, publicly available multi-modal dataset labeled with user preferences for accessible AI interactions. This research seeks to better integrate accessibility...
- This federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program totaling $174,604 is focused on advancing the field of robotic visual perception. The project aims to address critical limitations in current artificial intelligence systems, particularly their inability to generalize effectively to novel environments and human-centered interactions. To accomplish this, the project proposes two main thrusts: human-centered...
- This Project Grant award, with a total funding amount of $599,997, was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) federal grant program. The award, effective October 1, 2024 through September 30, 2027, aims to develop advanced techniques and tools to improve the management and resolution of ambiguity within collaborative visual analytics. The key objectives are to: 1) Identify sources of ambiguity in collaborative...
- This $483,129 Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences program (CFDA 47.075) supports research to advance understanding of human visual perception and scene processing. The project seeks to test whether state-of-the-art AI vision-language models can generate plausible visual scenes that mimic how the human brain perceives objects in peripheral vision during everyday activities. The research aims to provide insights into the...
- This $400,000 Project Grant was awarded on July 1, 2024 by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Program (CFDA 47.070) to the Regents of the University of Michigan to conduct collaborative research on the theoretical foundations of compositional learning in large language models based on transformer architectures. The research aims to investigate three key areas: model expressivity, statistical learning theory, and optimization, with...
- The National Science Foundation (NSF) awarded a $582,031 Project Grant under the Computer and Information Science and Engineering program (CFDA 47.070) to the Regents of the University of Michigan, doing business as the University of Michigan. The grant will fund a 5-year research project focused on "Achieving Explainable Artificial Intelligence (AI) Through Human-AI Interaction." The goal of the project is to develop new scientific knowledge and design guidelines for delivering...
This federal Project Grant award of $215,000 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program, awarded on September 15, 2025, aims to develop an AI model and user-facing tool that can recognize and resolve ambiguity in visual question-answering (VQA) systems. The project, led by the Regents of the University of Michigan, will create the first AI model capable of identifying all plausible image regions that a question could refer to, and provide corresponding natural language answers. The team will also design effective interaction mechanisms within a VQA system to empower users, particularly blind individuals who are the primary end-users of such services, to recognize and resolve focus ambiguity in visual questions. Progress will be evaluated through testing the AI model on a benchmark dataset and examining real users' experiences with the system.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $215.0k | 8/4/25 |