Center: iucrc phase II rutgers university: center for accelerated and real time analytics (CARTA)
Active Project Grant Awarded Last action
- Award ID
- 2310966
- Recipient
-
Rutgers, The State University UEI M1LVPE5GLSD9
- Awarding agency
-
Division of Computer and Network Systems
National Science Foundation
- Obligated
- $1,337,487
Award facts
- Assistance listing
- 47.084 NSF Technology, Innovation, and Partnerships
- Completion date 45% complete
- Originally
- Funding agency
- National Science Foundation
- Place of performance
- New Brunswick, NJ 08901, USA
Award details come from USAspending.gov.
Description
- Abstract
- Accelerated and real-time analytics is a leading edge of the smart data revolution, pushed by advances in internet-connected sensor hardware on one side and accelerated AI/ML analytics on the other. These technologies include AI/ML, cognitive, quantum, neuromorphic, and edge computing combined with new classes of sensory and programmable hardware components, active storage, flash storage, in-memory cloud systems, embedded sensors, etc. They address many pursuits of national defense and cybersecurity, weather and wildfire prediction, health- and disease-monitoring, industrial IOT, etc. In iucrc carta phase II, we will develop new accelerated and real-time approaches to these technologies relevant to our industrial and agency partners. We will leverage our cutting-edge research in AI/ML and programmable cyber-systems to conduct collaborative carta research. Our research areas include accelerated medical image analytics, explainable/interpretable AI/ML for medical and vision/language models, digital twins for dynamical systems with acceleration, and physics-based modeling with AI/ML for improved understanding, programmable coupled software and hardware for accelerated analytics. Our research will be primarily ?application neutral.? Therefore, the techniques we will develop can be applied with modifications across multiple industry sectors, including cyber security, healthcare and medical, dynamic systems, environment, and business intelligence. The technologies we will explore include semi/UN-supervised learning, federated learning, programmable architectures, language/vision models, real-time simulations, and blockchains. Our project will benefit businesses by providing a larger pool of highly skilled workforce. We will disseminate the results of this collaborative research with industry widely by publishing them in appropriate journals and conferences. We also propose to share the results of our research with other non-carta institutions that want to duplicate this approach. We will leverage our programs for underrepresented undergraduate/graduate students to recruit them for summer internships at our industry partners and research in carta projects. The MS in data-science program will be used for students to do capstone projects. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the foundation's intellectual merit and broader impacts review criteria.- subawards are not planned for this award.
Transactions
| Action | Obligated | Date |
|---|---|---|
| Amendment | $100,000 | |
| Amendment | $100,000 | |
| Amendment | $0 | |
| Amendment | $0 | |
| Amendment | $1,037,487 | |
| Original award | $100,000 |
Subawards
| Subrecipient | Amount | Awarded |
|---|---|---|
| University Of Maryland Baltimore County | $147,500 | |
| University Of Maryland Baltimore County | $53,014 | |
| University Of Miami | -$2,500 | |
| University Of Maryland Baltimore County | $97,500 | |
| University Of Maryland Baltimore County | $110,000 | |
| University Of Miami | $839,487 |
Quick answers
Who received award 2310966?
2310966 was awarded to Rutgers, The State University by Division of Computer and Network Systems (National Science Foundation) on October 1, 2023.
How much is award 2310966 worth?
$1,337,487 has been obligated on 2310966.
Which agency awarded 2310966?
Division of Computer and Network Systems (National Science Foundation) awarded 2310966, with funding from National Science Foundation.
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