Project Grant 2306573
Award Date
9/1/23
Completion Date
8/31/27
Dollars Obligated
$220K
Funding Federal Agency
Division of Computing and Communication Foundations
Awarding Federal Agency
Division of Information and Intelligent Systems
Awardee
Yale Univ (FL6GV84CKN57)
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
Hamden, CT 06511, USA
Similar Awards
This National Science Foundation (NSF) Project Grant award, under the Computer and Information Science and Engineering program (CFDA 47.070), provides $855,000 in funding to the Texas A&M Engineering Experiment Station (Tees) to develop a bimodal interpretable multi-instance medical image classification framework. The research aims to create a more scalable, interpretable, and robust artificial intelligence (AI) system to better analyze complex medical images, such as from multiple patient...
This $255,807 National Science Foundation project grant will fund the development of an AI-assisted software system to accelerate the labeling of medical tomographic images. Administered through the NSF Directorate for Engineering's Engineering program (CFDA 47.041), the grant aims to extract new information from medical images and improve patient outcomes. Alienbyte Scientific Software Inc. will apply machine learning algorithms to create an adaptive system that evolves to increase the speed,...
This National Science Foundation (NSF) Project Grant under the Engineering (CFDA 47.041) program provides $200,000 in funding to Yale University from October 1, 2023 through September 30, 2025. The grant supports the development of an open-source software platform and statistical methods to assess the performance of artificial intelligence/machine learning (AI/ML) models used for computational pathology. Key products and services to be delivered include: Validation of the existing MATLAB-based...
This $207,737 federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will fund research to develop a new class of machine learning models called "Programmatic Foundation Models" that can efficiently analyze large-scale satellite, aerial, and ground imagery. The goal is to create interpretable, robust AI models that can understand global and local phenomena from images, providing insights...
This $111,878 National Science Foundation (NSF) Computer and Information Science and Engineering (CFDA 47.070) Project Grant award to New York University aims to develop a hybrid, vision-centric framework that integrates intuitive and deliberate visual processing to create more robust visual intelligence. The 5-year project, commencing on February 15, 2025, will explore techniques like visual self-supervised learning, language guidance, and generative modeling to advance parametric knowledge and...
This Project Grant from the National Science Foundation's Computer and Information Science and Engineering program (CFDA 47.070) provides $800,000 to develop an intelligent radiology platform through human-machine cooperation. The awardee, Georgia Tech Research Corporation, will create an accurate medical image labeling tool using state-of-the-art artificial intelligence algorithms to maximize accuracy and minimize inter- and intra-reader variability among radiologists. The tool will provide...
This $600,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to advance artificial intelligence (AI) by investigating the mathematical foundations and practical applications of deep learning models. The research focuses on understanding the properties of neural networks trained on large datasets, how these properties enable the modeling of complex data distributions, and the principles underlying...
The National Science Foundation (NSF) awarded a $597,893 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the University of Connecticut (UConn). This 3-year grant, starting on May 1, 2024, is dedicated to developing novel algorithms and computational methods that integrate genomics, pathology, and other multimodal data to build precise disease prediction models. The project aims to advance the state-of-the-art in integrating diverse molecular data...
This Project Grant award from the National Science Foundation (NSF) Office of Advanced Cyberinfrastructure, under the NSF's Computer and Information Science and Engineering program (CFDA 47.070), provides $200,000 to Vanderbilt University to facilitate new regional collaborations in Middle Tennessee centered on Artificial Intelligence (AI) for imaging. The primary goals are to enable connections between research-focused institutions and minority-serving institutions, provide training and...
The National Science Foundation (NSF) awarded a $199,792 Computer and Information Science and Engineering (CISE) program grant to the University of Miami to develop novel methodologies for detecting data shifts in artificial intelligence/machine learning-enabled software as a medical device (AI/ML-SAMD) in medical cyber-physical systems. The project aims to create a framework that allows SAMDs to adapt through real-world learning, enhancing their safety and effectiveness in detecting lung cancer...