Project Grant 2424127
Award Date
10/1/24
Completion Date
9/30/27
Dollars Obligated
$309K
Funding Federal Agency
Division of Information and Intelligent Systems
Awarding Federal Agency
Division of Computer and Network Systems
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
Blacksburg, VA, USA
Similar Awards
The National Science Foundation (NSF) awarded the University of California, Los Angeles (UCLA) a $539,999 project grant under the Computer and Information Science and Engineering (CISE) program. The grant, effective October 1, 2023 through September 30, 2026, will fund a collaborative research project to develop formal verification frameworks and training/inference algorithms to ensure the safety and adherence to constraints of AI-based sequential generation models across critical applications...
This $800,000 Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program supports research to develop mathematically rigorous methods for ensuring the reliability and safety of generative AI technologies like ChatGPT. The research aims to address both near-term and long-term challenges in this domain. For the near-term, the project will establish parameters for detecting and calibrating factual assertions made by generative...
This Project Grant award from the National Science Foundation (NSF) under CFDA 47.070 - Computer and Information Science and Engineering is for $395,927 over the period of Sep 1, 2024 to Aug 31, 2027. The award aims to develop theoretical and algorithmic foundations for building a safe and robust human-AI ecosystem, where machine learning (ML) and artificial intelligence (AI) techniques are used in applications involving humans, such as recommendation systems, lending, and healthcare. The key...
The National Science Foundation (NSF) awarded a $600,000 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the University of South Carolina. The grant, with a period of performance from October 1, 2024 to September 30, 2027, focuses on enhancing security and mitigating harm in AI-generated vision language models. Key technical objectives include: 1) Developing a prompting framework for detecting harmful content provenance in AI-generated vision...
The National Science Foundation (NSF) awarded a $800,000 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the University of Illinois Urbana-Champaign. The 3-year grant, effective September 1, 2024, focuses on enhancing the safety of large language models (LLMs) used in high-stakes applications. The project aims to develop quantifiable safety measures and algorithms to detect and mitigate unsafe behaviors in LLMs, such as providing false or...
The National Science Foundation (NSF) awarded a $260,000 Project Grant under the Computer and Information Science and Engineering (CISE) program to the University of Illinois for the project "COLLABORATIVE RESEARCH: SLES: VERIFYING AND ENFORCING SAFETY CONSTRAINTS IN AI-BASED SEQUENTIAL GENERATION". This 3-year project aims to develop formal verification methods and constrained generation techniques to ensure the safety and reliability of AI models used for sequential data processing...
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...
This Project Grant award from the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program provides $599,666 to Purdue University to develop techniques that prevent harmful use cases and promote a safer digital environment for AI image generators. The project aims to address both unintentionally and intentionally developed harmful capabilities of AI image generators. The award supports two main thrusts: 1) developing methods to remove...
This $400,000 Project Grant award was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) Federal Grant Program. The project aims to develop a systematic framework for visualizing, understanding, and rewriting the learned computations of multimodal generative AI models, in order to increase the accountable and safe use of these advanced AI systems and mitigate potential harms. The key research thrusts involve: 1) new...
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...