Project Grant 2245352
Award Date
10/1/23
Completion Date
9/30/25
Dollars Obligated
$174K
Federal Agency
Division of Computer and Network Systems
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
Santa Clara, CA 95050, USA
Similar Awards
The National Science Foundation (NSF) has awarded a $299,999 Project Grant to the College of William & Mary under the Computer and Information Science and Engineering (CFDA 47.070) program. The grant, titled "COLLABORATIVE RESEARCH: CNS CORE: SMALL: A COMPILATION SYSTEM FOR MAPPING DEEP LEARNING MODELS TO TENSORIZED INSTRUCTIONS (DELITE)," will fund research to develop a compilation system that can optimize deep neural network (DNN) workloads for emerging tensorized instruction...
This $174,332 federal Project Grant award from the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program supports research on fundamental error-correcting codes. The project, led by the President and Board of Trustees of Santa Clara College, will study the limits of codes that can correct insertion and deletion errors, investigate list-decodable codes, and analyze how physical constraints impact quantum error-correcting codes. The...
This Project Grant award of $221,138.00 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program will support research by the University of California, Merced to develop advanced profiling techniques for optimizing the performance of deep learning models running on graphics processing units (GPUs). The key goals are to enable comprehensive, cross-layer performance analysis to identify and address inefficiencies across the different software...
This Project Grant award, valued at $150,000.00, 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 novel Next Generation (NextG) network design to support resilient Federated Learning (FL) over large-scale heterogeneous mobile devices. Key technical objectives include: Exploiting serverless computing at the network edge to provide resilient and efficient ML...
The National Science Foundation (NSF) Division of Information and Intelligent Systems awarded a $600,000 Project Grant to the University of California, San Diego (UCSD) under the Computer and Information Science and Engineering (CFDA 47.070) program. The 3-year grant, effective July 1, 2023, supports research to develop dynamic neural network architectures that can efficiently enable multimodal perception, including vision, audio, and language processing. The research aims to address...
The National Science Foundation (NSF) Division of Information and Intelligent Systems awarded a $200,000 Project Grant to Temple University to develop transformative machine learning and data analytics technologies for enabling AI-based applications on resource-constrained edge computing devices. The project aims to address gaps between the complexity of data and the limited computing resources on edge devices, as well as the need for robust predictive models across heterogeneous edge...
The National Science Foundation (NSF) Division of Computer and Network Systems awarded a $600,000 Project Grant to the University of California, Santa Cruz (UCSC) under the CFDA program "Computer and Information Science and Engineering" (47.070). The grant supports the development of a next-generation serverless edge computing engine that enables distributed edge applications like data analytics, edge AI, and media streaming to run efficiently at the edge through the...
This Project Grant award, provided by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), aims to develop advanced technologies for real-time video anomaly anticipation and prevention. The $359,324 award, granted to the President and Board of Trustees of Santa Clara College, will fund research to create AI models capable of accurately predicting motion-based anomalies before they occur in video surveillance systems. The project...
The National Science Foundation Division of Computer and Network Systems awarded a $250,000 Project Grant to the California Institute of Technology in Pasadena, California to support research titled "COLLABORATIVE RESEARCH: CNS CORE: SMALL: OPTIMIZING LARGE-SCALE HETEROGENEOUS ML PLATFORMS" from January 1, 2022 through December 31, 2024. The grant is being used to fund research under the Computer and Information Science and Engineering program (CFDA 47.070), which supports...
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...