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Army details the mission, the AI task force

A file photo of U.S. soldiers from the 3rd Cavalry Regiment watch as CH-47 Chinook helicopter from the 82nd Combat Aviation Brigade lands after an advising mission at the Afghan National Army headquarters for the 203rd Corps in the province of Paktia of Afghanistan December 21, 2014.
(REUTERS/Lucas Jackson)

Warrior Maven Interview: Col. Douglas, Matty Army, Artificial Intelligence, Artificial Intelligence Task Force Is The Deputy Director Of The

Warrior Base: What is the primary purpose of the armed forces of the AI Task Force?

Matty: and The armies of the AI Task Force was established by the Secretary of the Army directive, in October of 2018. There are four key elements, or above, the action of the Secretary of the council directive. of this is we are using AI to help make our talent management team in human resources. Our most important asset is our people. The second is that our co-operation with the ministry of defence with regard to our efforts, including those of a Military-led, predictive maintenance effort. We are interested in the application of AI in the direction of carry out preventive maintenance and, specifically, on the H-60 Black Hawk. The third is to focus on the Army’s top modernization priorities, including the long-range precision fires. Fourth attempt to to look for the Next-Generation combat vehicle.

Warrior Base, What are some of the Ways in which the AI Task Force with Them.

Matty: We are working under the Army’s Futures Commission (AFC), which was established in July of 2018. They were able to focus on modernization efforts, including Cross-Functional Teams. We’re looking to see how to get to a COMPUTER-the hub is composed of the other elements of the BOARD — with the CCDC (prevention of the Development of the capacity to Contract). We are located at Carnegie Mellon, is a world leader in AI, and to collaborate with other universities to utilize their technical expertise to the development of new technologies and also how to work with other partners in the industry. In addition, the Army’s labs, we can utilize FFRDCs (Federally Funded Research and development center, such as the software engineering institute at Carnegie Mellon.

Warrior: What are some of the most important areas of focus?

Matty: We’re trying to make use of cutting-edge technology for the exploration of the world of the possible, by working together, we are working on the transfer of technology. We will be working through the first set of mission analysis with the CFT. We are currently adapting this work to research the possibilities. We will work through an initial set of mission analyses, the CFTs. We provide support for two of the eight CFTs, and we look forward to the next 2 years, to work in order to understand the mission of the area of the remaining CFTs, and to improve their skills.

Warrior: I don’t understand, the AI Task Force is working on Predictive Maintenance.

Matty: in The Army, has led to a Conditioning-Based Maintenance over the past 15 years, searching for the appropriate sensors for the collection of data on the right platforms. How can they be analysed in order to understand the state of maintenance. This will include the development of new algorithms and interfaces for servicing, and the mechanics have to deal with supply chain and logistics challenges and to take advantage of newly available data from the equipment. The Army has pilot programs, I. e. East windsor, ct. We are currently working on H-60’s, and a variety of other platforms, in conjunction with the acquisition of the community and at the AMC (Army Materiel Command).

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Warrior: What about the AI approach and the Black Hawks?

Matty: Helicopters are a critical part of the power structure of the aviation equipment is a resource, and the maintenance of the situation. We have been able to take advantage of the expertise available to develop and fine-tune the algorithms. We will be able to get to the granular level of specificity, not only the fleet, but it will eventually get the tail numbers. We are in the process of refining one’s analysis, and machine learning, in order to not only increase the specificity but also the improvement of the term in order to predict when maintenance will be taking place.

Warrior: What is your AI programs, to merge with real-time analytics.

Matty: is the AI, it is not only the algorithms, but it also requires the integration of a number of aspects. Our developments constitute an “AI Stack” on how we can pull together, the sensors and the computing layer, and the analytics used to manage the data and to improve the systems to support it. This also makes a recommendation for the use of supply chain mechanisms, and to improve the readiness of the fleet. The H-60’s, we are in a position to get out of the texture layers for the possibilities to integrate the acquisition and details of the supply chain as a whole. We have to build the rest of the deck is to go to a larger system of systems in support of business operations.

Warrior: How would you describe the impact of such Predictive Maintenance efforts?

Matty: The purpose of this time. First and foremost, we want to improve the emergency preparedness, because that will be reflected in the mission was a success. There are onboard sensors that generate the data for the analysis. If we can flush out the rest of the stack, we will discuss which analysis should be carried out. We take an iterative approach, where the platforms will be made available to the mission. What we are looking to have user accounts like we’re in the bowl on the platform, and we are looking to gain the crew’s ability to perform the mission.

Warrior: What is the focus of the Next-generation Combat Vehicle?

Matty: We are going to focus on the Next-generation combat vehicle. If you know that they are two different platforms, it may be manned vehicle-to-robot combat vehicle. How do we make the COMPUTER-aided threat recognition? We have to be aware of how the robotic and human vehicles for information-sharing activities to be carried out. We are working on the creation of a prototype, and we expect to have an integrated threat recognition, sensor package, in January term. We have a map of the trade area in order to find out what it would be like to see it. We are excited about what we are doing.

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Warrior: what to do with some of these things are in the process of development?

Matty: There have been a number of demonstrations and investigations that have been going on in the Michigan area, Aberdeen Proving Grounds, and Picatinny Arsenal. For a number of years, we have developed a semi-autonomous technology, such as leader-follower systems. Now we are taking it to the next level, where you are operating the relevant autonomy and, therefore, things to be able to maneuver in a fight. This is what the military and operational leaders are excited, because we can see the potential with respect to the multi-domain ops, where we can change things for teaching. These are very challenging when it comes to the merging of the active and passive entities in order to gain an understanding of how the systems should function in autonomous operations, such as maneuvering.

Warrior: I don’t understand the combination of multiple sensors in a “box” is a major advantage of the AI?

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Matty: We are working on the sensor side of the consolidation. For fire protection there are a number of processes that can be carried out in advance of the entity for which you want to generate the effects. How do we make use of the enhanced capabilities on the basis of a long range of types of systems, and for overhead, commercial, graphics, or user accounts, so as to be able to run it by the PED (Processing, Exploitation, Dissemination)? We are interested in the impact of these, with the CFT to work on a long-range precision fires, with the help of advanced capabilities, such as those that have been developed in order to support the project in MAVEN. BASE is designed to support the intel ops within the DoD. With a long history of burning, we have to look at how we can extend the operational battlespace. We can improve the data sets on the basis of the AI is to generate and extract vital information to help in the fight against the mission statement of the threats.

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