The National Science Foundation (NSF) awarded a $599,999 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the Mayo Clinic in Rochester, Minnesota. The grant will fund a 7-week Research Experience for Teachers (RET) site focused on promoting AI fluency in healthcare, particularly among school districts in rural Minnesota. High school teachers will conduct research under the guidance of AI researchers at Mayo Clinic, develop curriculum materials,...
Mayo Clinic was awarded a $784,182 project grant from the National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation. The grant is part of the Computer and Information Science and Engineering program (CFDA 47.070), which supports investigator-initiated research and education in computing, communications, and information science and engineering. Under the grant, Mayo Clinic will conduct collaborative research to develop a causal artificial intelligence digital twin...
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...
The National Science Foundation (NSF) awarded a $630,000 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to Saint Louis University (SLU) to modernize its campus cyberinfrastructure and support artificial intelligence (AI)-enhanced research and education. The "MODERNCARE" project establishes a new high-performance computing (HPC) cluster with advanced CPU and GPU nodes to enable data-intensive AI research across disciplines such as biology,...
This National Science Foundation (NSF) Project Grant, awarded under the Computer and Information Science and Engineering program (CFDA 47.070), provides $220,000 to Yale University from September 1, 2023 through August 31, 2027. The project aims to develop a smarter artificial intelligence (AI) system to better understand and analyze complex medical images, such as those from multiple scans of a patient. The research team will tackle challenges to make the AI system more scalable, interpretable,...
This $175,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) supports research to improve the efficiency and reliability of explainable AI (XAI) systems. The project aims to accelerate computationally intensive XAI algorithms, develop unified explainer models, and validate the methods in medical applications like histopathology imaging and cancer prognosis. This work will establish a...
This $100,000 Project Grant from the National Science Foundation Office of Advanced Cyberinfrastructure, under the Computer and Information Science and Engineering federal grant program (CFDA 47.070), will support the University of California, Los Angeles in developing a detailed plan for a high-performance GPU computing cluster to address computational needs in biomedical research. Specifically, the university will identify representative science use cases and users, determine standards for...
The National Science Foundation awarded a $434,030 Project Grant to the H. Lee Moffitt Cancer Center and Research Institute Hospital, Inc. to develop a rigorous and scalable machine learning framework under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The one-year project will establish a theoretical foundation for algorithms to self-assess performance through quantifying confidence in network decisions. Researchers will derive new training methods...
The University of Utah will receive $614,956 from the National Science Foundation under the Computer and Information Science and Engineering program (CFDA 47.070) to develop acceleration strategies for emerging life science workloads through an AI+X approach from October 1, 2022 to September 30, 2025. Specifically, the project will design configurable accelerator architectures to efficiently handle both artificial intelligence and small-market healthcare domains like computational pathology...
This $800,000 Project Grant awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to pioneer a computing system for massive AI workloads. The project will develop new architectural and design automation tools for a reconfigurable-on-package system using "tiny chiplets" - miniaturized composable computing components. This innovative approach seeks to address the challenges related to chiplet definition,...