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Army, the AI Task Force is to build new prototypes of armored vehicles

The Bobcat Infantry Fighting Vehicle file photo.
(Photo: Rheinmetall Defence)

Process of multiple targeting, sensors, and destroy long-range targets, the inclusion of forward-placed robots to penetrate the enemy’s defenses, and the received organized, weather-specific field mapping by the nearby presence of emerging control in the dynamics to an increasing extent been made possible by the COMPUTER-enabled weapons and technology.

New applications of AI to the consolidation of data from other disparate sensor systems in the analysis of seemingly limitless amounts of targeted information in seconds and immediately sifting through hours and hours of drone videos to get mass to improve the attacking options, and shorten the “sensor-to-shooter” times.

“We are in the development of the AI-stack and how we can pull together, the sensors and the computing layer, and the analytics to manage the data,” Col. When Matty, the Army, the AI Task Force to the Deputy executive Director, told the Warrior in a recent interview.

New algorithms and COMPUTER-enabled, computer-processing, and high-speed networking to all of the specific elements of the work that is now underway, with the armed forces of the AI Task Force, and a growing Military effort to collaborate with industry and academia to find technological breakthroughs, and the development of new applications for AI, and Matty will be explained. The Task Force is now working on prototype systems for integration into the UH-60 Black Hawk helicopters, Long-range Precision Fires systems in the armed forces of the emerging fleet of Next-generation combat vehicles, ” he said.

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“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 to share information to carry out operations,” Matty explained.

The first prototype of the COMPUTER-oriented and integrated threat recognition sensor, will be available in January of the following year, and Matty said.

The armed forces of the fast-moving, the AI task force, based in Pittsburgh at the Carnegie Mellon University’s National Robotics Engineering Center, was the first to be established by the Secretary of the Army, and in October of 2018.

As part of a dual-pronged strategy for cutting edge technology and the analysis of the impact on the company’s strategy, doctrine, and combat tactics, the AI in TF is working closely with the Army of the Futures Contract, and in Cross-Functional Teams.

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“We will be working through an initial set of mission analyses with the CFT. We are now in the alignment of these efforts with opportunities to explore,” Matty said.

One of the interesting march of 2017 essay, the Hague, Centre for International Studies, provides some sense of context with regard to the expected operational impact of the AI.

“The AI systems are capable of providing probabilistic predictions of enemy behavior, to anticipate and to identify problems or vulnerabilities in the supply lines, before they occur, and to suggest that these strategies draw from the data (e.g., weather conditions, collected by the bees), and to investigate the factors that influence the activities and the assessment of the viability of the different mission approaches,” in the essay, the so-called “artificial intelligence, Artificial Intelligence, and the Future of the Defense, and the” states”.

Matty and his team are now refining some of the potential applications of the new algorithms are discovered by the Military, the current co-operation with the scientists and engineers at Carnegie Mellon — to help bring the vision outlined by the essay, and to life. There have been a number of efforts are the result of early promise, Matty explained.

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Some of these include the sensor and a period of consolidation, an effort that not only reduces the hardware footprint created by the construction of the sensors, up-armored vehicles, but it also increases the long-range sensor is true, and organizes the otherwise independent pools of information. This is, among other things, the introduction of a new attacking options, and Matty will be explained.

“We are working on the sensor, the sensor combination. 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)?” he said.

Here, Matty, seems to be referring to how the COMPUTER-aided algorithms that can be right now, that he may sift by means of drone video feeds, you will immediately find out it and distribute it on the web from the press of the fight for relevance. This type of information, the synergy was described by Matty is also reinforced by the the Hague Center for International Studies, in the essay, which is that in the new map, of AI technologies can perform analysis of reports, documents, news feeds, and other forms of unstructured information.”

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Perhaps the most relevant to the essay, explain how these COMPUTER-enhanced functions “forecast of enemy behavior, and anticipate to maneuver the challenges and to find the vulnerabilities in your supply lines.”

The AI is also a change in the readiness equation, and Matty declared, on the basis of the acceleration condition based maintenance on board of certain of the major platforms, such as Strykers and Black Hawks helicopters.

“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. We will be able to get to the granular level of specificity, not only the fleet, but it will eventually get the tail numbers,” Matty said.

The Military has been working on it on the basis of the maintenance for many, many years now, this effort involves the engineering and integration of key data-collection sensors on a large platform. These sensors make it possible to, among other things, monitor the health of the system, engine revolutions, and other mission-critical control functions, in real time, even wirelessly, to assist commanders in order to anticipate when a given system may have a malfunction. In the past few years, in the Army, completed a “proof of principle” exercise, with the help of COMPUTER-enabled wireless technology, the downloading and the organization of the maintenance of the data from the sensors on board of a Stryker vehicle. The partnership with IBM, the Army, and was in a position to make use of IBM’s Watson (the computer that is to execute the analytics in real-time to produce the essential maintenance of the information in a matter of seconds. The armed forces of the AI Task Force is now in the process of this in Black Hawk helicopters.

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How can the information be analyzed 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 the newly available information on the assets,” Matty said.

The automation and AI, which is, of course, have made progress in the area of the lightening speed these days, it is often described in terms of the reduction of the “cognitive load,” which means that they will be able to quickly perform analyses, and a range of procedural features, and to present it to a person who is in command and control capabilities.

Working on the cutting edge with respect to both the promise and the limitations of the AI, the Army of the Task Force is currently based on a doctrinal emphasis on the need for a “man-in-the-loop.” In essence, the AI and the advanced processing power of the computer to be a good fit for exponential is to improve procedural functions of the organization, from the sensor data, and other press operations — even Matty emphasis on the importance of having people in the role of command and control, in order to make complex decisions, and the reason it is best to take advantage of the benefits of AI.

For example, there are many, many combat variables, which are often of a complex a by-product of a range of more subjective variables are influenced by the concepts of personality, individual psychology, and the historical nuances and the larger social picture. This is, of course, raises the question as to how far even the most sophisticated computer program would be able to account for this, and other, less “tangible” factors.

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Sophisticated algorithms can analyze data quickly and to carry out the procedural functions are a lot faster than human cognition, but there are still a lot of things that are known to be unique to human cognition. The person solving the problems, interpretation of emotions, and at times responding to some of the variables in such a way that the best of computer technology.

This is a concept, but in general, it is reflected in an interesting and 2017, in the essay from the Chatham House, the Royal Institute of International Affairs, entitled “Artificial Intelligence and the Future of War.” (M. L. Cummings). The essay explains how one of the typical algorithms that are not necessarily “over-generalize” but only a “quantitative variable.”

“It’s to replicate the intangible concept of the intuition, the knowledge-based reasoning, and its expertise is now outside the realm of computers,” the essay states.

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“…….The AI is advancing, but in the light of the current struggle for the development of systems with real knowledge and an expert-based behavior, as well as the limitations of the perception sensors, and it will be many years before AI will be able to give an approximation of the human intelligence in a high-uncertainty – such as it emerges from the fog of the civil war., ” the Chatham House essay that states the.

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