Advanced Graphic Intelligence Logical Computing Environment (AGILE)
Sector: Commercial • Location: United States of America
Source: Grants.gov
The U.S. Army Research Office (ARO) in partnership with IARPA seeks research and development of innovative, energy-efficient, reliable computer architectures for the DoD and the Intelligence Community (IC) to implement large-scale data-analytic applications, as well as other classes of large problems. The primary focus of this program, Advanced Graphic Intelligence Logical computing Environment (A
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | archived |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
Contact name | Obfuscated Data |
Phone | 0000000000 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | The U.S. Army Research Office (ARO) in partnership with IARPA seeks research and development of innovative, energy-efficient, reliable computer architectures for the DoD and the Intelligence Community (IC) to implement large-scale data-analytic applications, as well as other classes of large problems. The primary focus of this program, Advanced Graphic Intelligence Logical computing Environment (AGILE), is the development of new system-level intelligent mechanisms for processing, moving, accessing, and storing large, unfiltered, time-varying data streams and structures that allow for the scalable and efficient execution of dynamic graph analytic workflows. The overarching goal for the AGILE program is to create novel computer architectures and designs that overcome the challenges specified below. The AGILE program will result in the delivery of Detailed Designs, whose performance has undergone rigorous and independent Testing and Evaluation. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
State | Obfuscated Data |
County | Obfuscated |
Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
Project Type | Obfuscated Data |
Article Published Date | Obfuscated Data |
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