Note. Examples of GEOINT. Imagery provided by Planet.com.

Metadata with location attributes is embedded in cyberspace, where the digital realm is mapped to the physical location. GPS, IP address, Wi-Fi networks, and cell tower triangulation are some technologies that provide geolocation. Triangulation refers to the ability to pinpoint the device's approximate geographic location based on the data it transmits. 

In this project's data collection, transmission, and aggregation stages, the data is to be filtered and analyzed. The aim is to use Geographic Intelligence (GEOINT) in a process that is meaningful to the user. The administrator will determine the user's role working in an unnamed agency. The performer or team will determine the data process using current information technology (IT) architectures. 

The architecture of this experiment will be judged based on the near-real-time gathering of information. An example of an Extract, Transform, and Load (ETL) process consists of an architecture that uses various types of instruments, and the data is stored in a data warehouse, data lake, or other target system. In a spreadsheet, list the components of your design and note the cost of this design. 

Present your justification of the architecture with the mission objective. The administrator will provide the mission objectives and the performer or team will propose data analytic solutions. These objectives may include cyber and the next generation of high-efficiency AI computing.

• Brain-Inspired Algorithms - Accelerate next-generation AI research by exploring under-explored mathematical algorithms from “brain-inspired” massively scalable approaches.

• Shared Learning - Develop greater abstracting and reasoning capabilities, such as applying knowledge from one domain to another, perceiving, and learning.

• Better Performance - This model must validate the potential of 10x improvement in energy efficiency and data rate handling capability.

Performers will be expected to provide, at a minimum, the following deliverables: negotiated deliverables specific to the proposed effort. These may include reports, experimental and simulated data sets, proposed architectures, protocols, software codes, publications, model data, metrics, validation data, and other associated documentation and results.