The US Department of Defense is vigorously promoting the application of artificial intelligence in the military
The US Department of Defense is vigorously promoting the application of artificial intelligence in ships, tanks, aircraft, drones, weapons, and large networks as part of a comprehensive innovation strategy.
Artificial intelligence has been well applied in the US military combat system, but new technologies and applications are rapidly emerging. The Deputy Secretary of Defense has instructed the immediate creation of a new Joint Artificial Intelligence Center.
The Deputy Minister of National Defense has instructed the Chief Information Officer of the Ministry of National Defense to establish a joint artificial intelligence center, enabling the entire team of the Ministry of National Defense to quickly provide new informationartificial intelligenceAbility to effectively test new combat concepts and support the military missions and business functions of the Ministry of National Defense.
US Department of Defense officials plan to make new efforts to link the different developments in artificial intelligence across various departments, utilizing the latest and most effective autonomy, automation, and artificial intelligence to have a direct impact on current military operations.
Artificial intelligence is not limited to traditional concepts of information technology (IT) or cyberspace. Computer algorithms can access huge data pools in real time, compare and organize information, and provide decision-makers with command and control automation programs and analysis functions. Artificial intelligence can not only accelerate data integration, cloud migration, and provide security functions for various networks, but it is also increasingly widely used in weapon systems, large platforms, and combat networks.
Fast database access, organizing information, and running large-scale programs are all advantages of artificial intelligence applications. For example, an increasing number of artificial intelligence algorithms are able to scan, view, and organize large amounts of intelligence, reconnaissance, and surveillance (ISR) input information (including image or video data) to provide relevant information to commanders.
Artificial intelligence has special significance in driving the progress of data systems, IT, and network security. For example, US Air Force developers are using artificial intelligence technology to simulate human online behavior with the aim of luring and tracking potential intruders. In addition, artificial intelligence can be used for real-time analysis of incoming traffic from intrusion attempts. If artificial intelligence technology can quickly identify the source, characteristics, or recognizable patterns of attempted intrusion, network defenders can better respond.
When a large number of redundant tasks are completed through artificial intelligence technology, relevant personnel can free up their energy to engage in more extensive explanatory or conceptual work.
It is reported that the US Department of Defense identifies approximately 36 million phishing emails containing malicious software and viruses every day, which come from hackers, terrorists, and foreign adversaries attempting to gain unauthorized access to US military systems.
Due to the new challenges brought by big data analysis, larger data streams can make it difficult for servers to "flexibly" adapt to the rapid fluctuations of incoming data as needed. Therefore, algorithms authorized by artificial intelligence are needed to analyze incoming data and identify anomalies or potential intrusions.
For example, the US Army is collaborating with a private company called NCI to certify specific artificial intelligence projects aimed at simplifying certain critical tasks. The program developed by NCI can achieve account creation, account deletion, background checks, and other types of high-capacity data analysis. This program allows the operator to log in to 10 different websites simultaneously, allowing the machine to collect all the information the operator needs, so that the operator can focus on higher priority threats.
In addition, Cisco is developing a special technology to address such a unique security paradox - encrypting a large amount of network data streams from the US Department of Defense to increase security, while also allowing network defenders to see the malicious software hidden in the encrypted data streams.
CISCO is currently prototyping a new detection method and striving to introduce its technology into the US military sector. The company believes that even encrypted data streams can still contain malicious software, and has the ability to read and detect malicious software in encrypted network data streams.
The US Navy is taking technological measures to expandartificial intelligenceThe application of "Unified Maritime Network and Enterprise Business" (CANES) strengthens the continuously growing shipborne maritime combat network.
CANES are being installed on aircraft carriers, amphibious assault ships, destroyers, and submarines. The US Navy has completed at least 50 CANES and more are in production.
The upgraded CANES relies on strengthened networks, IT connections, wireless and other technologiescommunications technologySpecially configured to improve the level of automation in executing analytical decisions without the need for operator intervention. Senior leaders of the US Navy believe that the functionality of CANES is constantly improving through the application of new artificial intelligence algorithms.
The surface vessels of the Littoral Combat Ship (LCS) rely on a series of mutually integrated technologies to share threat and target information, radar signal processing, and key data of fire control systems in real time. The connectivity of CANES and the analysis of artificial intelligence are crucial for the operation of shipborne systems, which typically rely on rapid interpretation of sensor, target positioning, or intelligence, surveillance, and reconnaissance (ISR) data to make potentially lethal decisions.
Especially LCS, which utilizes highly correlated surface and anti submarine "mission packages" to design a large number of ship systems for coordinated use. The shipborne artillery, missiles, helicopters, drones, and sonar systems of the LCS shipborne system can all be strengthened through artificial intelligence analysis.
US Navy developers believe that in order to improve the network security, mission scope, and overall flexibility of CANES, it is necessary to develop routerssatelliteThe communication network, servers, and computing functions are developed using general engineering methods.
Artificial intelligence technology has played a significant role on the emerging Ford class aircraft carriers of the US Navy. The new aircraft carrier uses advanced artificial intelligence algorithms to complete diagnostic, maintenance, and programmatic tasks, allowing the US Navy to reduce 900 sailors on each carrier and save $4 billion over the life cycle of a ship.