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Artificial intelligence as the basis of future control networks

Authors:
  • Central Scientific Research Insitute of Armaments and Military Equipment of Armed Forces of Ukraine
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Abstract

The implementation of Artificial Intelligence (AI) is an important trend in the development of battlefield and weapons control systems. The main applications of Artificial Intelligence and Machine Learning are to enhance C2, Communications, Sensors, Integration and Interoperability. On the basis of Artificial Intelligence (AI) and Machine Learning (ML) with Microsoft Common Objects in Context (MS-COCO) or Limpid Armor Inc. (Ukraine) technologies the Synthesis of Augmented Reality Symbols can be provided. It enables target acquisition, targeting of moving targets (single or swarm), coordination and deconfliction of distributed Join Fires between networked combat vehicles, tanks, ships etc. also inside Manned and Unmanned Teams (MUM-T).
Slyusar V.I. Doctor of Technical Science, Prof
Ministry of Defense of Ukraine (Central Research Institute of armament and military
equipment of the Armed Forces of Ukraine)
Artificial intelligence as the basis of future control networks
The implementation of Artificial Intelligence (AI) is an important trend in the
development of battlefield and weapons control systems. NATO experts use two
alternative definitions of artificial intelligence (NIAG StudyGroup SG-238
“GBAD Operations against the 21st Century Peer Nation Cruise Missile and
Unmanned Aerial Systems (UAS)”):
AI is the capability provided by algorithms of selecting optimal or sub-
optimal choices from a wide possibility space, in order to achieve goals by
applying strategies which can include learning or adapting to the environment;
Artificial intelligence (AI) refers to systems designed by humans that, given
a complex goal, act in the physical or digital world by perceiving their
environment, interpreting the collected structured or unstructured data, reasoning
on the knowledge derived from this data and deciding the best action(s) to take
(according to pre-defined parameters) to achieve the given goal. AI systems can
also be designed to learn to adapt their behavior by analyzing how the environment
is affected by their previous actions.
As a scientific discipline AI includes several approaches and techniques, such
as: machine learning (deep learning and reinforcement learning),
machine reasoning (planning, scheduling, knowledge representation and
reasoning, search, and optimization),
robotics (control, perception, sensors and actuators, as well as the integration
of all other techniques into cyber-physical systems).
AI is useful in particular with respect to Human resources & manning
requirements: making (heterogeneous) systems work together; data exchange;
command coordination; target allocation (also between nations); working with
fewer resources; taking the man on/over the loop; coordination of sensors and
effectors; threat detection and identification; semi-autonomous weapon allocation;
improving timeliness (fast threat, pop up, numerous threat); derivation of intent,
situational awareness and evaluation.
The main applications of Artificial Intelligence and Machine Learning are to
enhance C2, Communications, Sensors, Integration and Interoperability.
On the basis of Artificial Intelligence (AI) and Machine Learning (ML) with
Microsoft Common Objects in Context (MS-COCO) or Limpid Armor Inc.
(Ukraine) technologies the Synthesis of Augmented Reality Symbols can be
provided. It enables target acquisition, targeting of moving targets (single or
swarm), coordination and deconfliction of distributed Join Fires between
networked combat vehicles, tanks, ships etc. also inside Manned and Unmanned
Teams (MUM-T).
... Artificial Intelligence is widely used in the development of battlefield and weapons control systems [74]. Artificial intelligence helps in various areas like target acquisition, targeting of moving targets, coordination amongst vehicles, and change of flightpath of distributed Join Fires between networked combat vehicles, tanks, ships, etc. in situations of accidental collisions. ...
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Artificial Intelligence (AI) as a technology has existed for less than a century. In spite of this, it has managed to achieve great strides. The rapid progress made in this field has aroused the curiosity of many technologists around the globe and many companies across various domains are curious to explore its potential. For a field that has achieved so much in such a short duration, it is imperative that people who aim to work in Artificial Intelligence, study its origins, recent developments, and future possibilities of expansion to gain a better insight into the field. This paper encapsulates the notable progress made in Artificial Intelligence starting from its conceptualization to its current state and future possibilities, in various fields. It covers concepts like a Turing machine, Turing test, historical developments in Artificial Intelligence, expert systems, big data, robotics, current developments in Artificial Intelligence across various fields, and future possibilities of exploration.
... Отчасти незаполненность этой ниши обусловлена неготовностью серийного производства соответствующих изделий и определенным скепсисом военных заказчиков в отношении эффективности нынешних реализаций искусственного интеллекта. Однако вполне возможно, что ситуация изменится уже на следующей выставке DSEI, тем более, что интерес военных к возможностям искусственного интеллекта стремительно растет [2]. ...
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It is an overview of military electronics trends
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