Project Grant 2144923
Award Date 6/1/22
Completion Date 5/31/27
Dollars Obligated $548K
Federal Agency
Federal Grant Program
Assistance Type
Project Grant
Place of Performance
Tempe, AZ 85281, USA
Similar Awards
- This $600,000 federal Project Grant award was issued by the National Science Foundation (NSF) Division of Information and Intelligent Systems under the Computer and Information Science and Engineering (CFDA 47.070) program. The purpose of the grant is to lay the foundations for building tools that will enable data scientists to more effectively manage and process large datasets for machine learning applications. The key focus is extending relational database technology with the ability to...
- The National Science Foundation awarded a $599,995 project grant to the University of Massachusetts under the Computer and Information Science and Engineering program (CFDA 47.070) for the period of September 1, 2022 through August 31, 2025. The grant funds research to develop scalable in-database prescriptive analytics capabilities for dynamic environments. Specifically, the university researchers will extend prior work on constrained optimization problems to handle data uncertainty and...
- This $271,343 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports research into developing robust machine learning and inference methods that can withstand data corruption and distribution shifts. The project aims to explore new techniques for structured learning, supervised learning, and reinforcement learning that are resilient to these challenges, with potential applications in healthcare,...
- 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...
- This Project Grant award of $299,999 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports the development and optimization of a log-structured-merge tree-based key-value store system called Decoupled-LSM. The project aims to redesign the architecture of this critical data storage system to improve performance, resource utilization, and manageability within disaggregated computing infrastructures, which are...
- The National Science Foundation (NSF) awarded a $399,998 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to Cornell University for a collaborative research project titled "A Hardware-Software Co-Design Approach for High-Performance In-Memory Analytic Data Processing". The project aims to redesign both hardware and software components of an analytics pipeline to enable high-performance in-memory data processing and faster data-driven...
- This $180,000 Project Grant award, funded by the National Science Foundation's (NSF) Division of Computer and Network Systems under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), supports collaborative research conducted by Arizona State University from October 1, 2025, through September 30, 2028. The project delivers a comprehensive security assessment of machine learning (ML) and artificial intelligence (AI) technologies integrated into electronic design...
- This $400,000 Project Grant awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE, CFDA 47.070) program supports a collaborative research effort led by Carnegie Mellon University (CMU). The project aims to develop a hardware-software co-design approach for high-performance in-memory analytic data processing. Key technical thrusts include mechanisms for in-place data analytics on dynamic random-access memory (DRAM), processing-in-memory (PIM)...
- The National Science Foundation (NSF) Division of Computing and Communication Foundations awarded a $400,000 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the University of Virginia. The award supports collaborative research to develop a hardware-software co-design approach for high-performance in-memory analytic data processing, addressing challenges in analyzing large volumes of data. The research focuses on designing...
- This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program, CFDA 47.070, provides $530,704 to Florida International University (FIU) to conduct research on improving tiered memory management in in-memory databases and analytic frameworks using machine learning. The key objectives are to: (1) design new tiered memory management techniques that leverage machine learning to optimize performance, quality of service, and...