This $324,955 Project Grant awarded on May 15, 2025 by the National Institutes of Health (NIH) under the Research Infrastructure Programs (CFDA 93.351) will fund the acquisition of a Dell PowerEdge XE9680 8X H100 NVIDIA GPU server for the University of Pittsburgh's Center for Biologic Imaging (CBI). The GPU server will significantly enhance the CBI's computational capabilities to process and analyze large image datasets generated by advanced imaging technologies like ribbon scanning confocal...
This Project Grant award from the National Science Foundation's (NSF) Integrative Activities program (CFDA 47.083) provides $1,281,509 to the University of Illinois Chicago (UIC) to acquire a GPU cluster for accelerating HIPAA-compliant, data-driven research and artificial intelligence (AI) applications in healthcare. The GPU cluster enables computationally-intensive AI modeling using sensitive healthcare data, supporting research projects in areas such as knowledge extraction from electronic...
This $330,333 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) seeks to address the critical need for computational hardware to support artificial intelligence research in pathology at the Mayo Clinic in Rochester, Minnesota. The funding will be used to install GPU- and CPU-based computational servers connected to the clinic's rapidly growing clinical data repository, which contains a vast collection of...
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,...
The University of California, San Francisco (UCSF) was awarded a $1,453,500 Project Grant by the National Institutes of Health (NIH) under the Trans-NIH Research Support program (CFDA 93.310). The funding will support the development of a novel, physiologically-focused approach to train multi-modal artificial intelligence (AI) algorithms for medical applications. Specifically, the project aims to create a new deep neural network architecture that can accept and learn from multiple...
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...
This Project Grant award from the National Science Foundation's (NSF) Integrative Activities program (CFDA 47.083) provides $397,299 to Fordham University to acquire a high-performance GPU computing cluster. The goal is to modernize the university's scientific computing infrastructure and meet growing demands for advanced computational resources across various disciplines, including computer science, neuroscience, security, economics, chemistry, statistics, and psychology. The GPU cluster...
The National Science Foundation (NSF) awarded a $1,215,099 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) federal grant program to Carnegie Mellon University. The goal of this 4-year project, titled "MAGENTA - Multimodal Interactive Generalist Health AI," is to develop an end-to-end artificial intelligence (AI) system that can analyze healthcare data from multiple modalities, including time-series, text, images, and numerical data. The project...
This Project Grant award from the National Institute of General Medical Sciences (NIGMS) Biomedical Research and Research Training Program (CFDA 93.859) provides $3,999,999.00 to the Icahn School of Medicine at Mount Sinai (ISMMS) to purchase a GLACIOS 2 cryo-electron microscope (cryo-EM). This state-of-the-art cryo-EM instrument will enable researchers across ISMMS to conduct cutting-edge structural biology studies on a wide range of biological systems and disease mechanisms. The award will...
This Project Grant from the National Science Foundation Division of Information and Intelligent Systems provides $999,929 to support research titled "COLLABORATIVE RESEARCH: NCS-FR: UNDERSTANDING THE NEUROPEPTIDE MODULATION OF BRAIN CIRCUITS BY ADVANCED NANOMATERIALS AND IMAGING" from September 1, 2021 to August 31, 2025. The funding supports research under the Computer and Information Science and Engineering program (CFDA #47.070) to advance understanding of neuropeptide modulation of...