Russia Deploying Artificial Intelligence in Air Defense Systems

Russia is implementing a new artificial intelligence environment to improve the performance of its air defense systems to help easily identify and track targets.

Artificial intelligence systems are now being actively introduced in air defenses and the result will be seen by November. This is one of seven projects, which we must implement by the end of this year. We will be implementing this together with some civilian companies," Defense minister Andrey Belousov said at a meeting with military reporters Monday.

Intensified Ukrainian drone and missile attacks have overwhelmed Russian air defenses despite having them in good concentrations. The use of AI based systems should facilitate early detection and improve hit rate against enemy drones.

“The situation with measures of protection against Ukrainian UAV attacks in Russian regions and in the special military operation area changes about every two-three months,” the minister said.

Layered air defenses against drone attacks have been built in all of the Russian battlegroups operating in the special military operation area. Besides, mobile fire groups as defense against enemy drones are being actively introduced "We are now actively introducing mobile fire groups armed primarily with interceptor FPV drones."

Unified information systems to raise awareness of UAV attacks

"Since April, we have begun to establish a single information environment to raise situational awareness of UAV attacks. Beginning from the tactical level and further on, that makes it possible to determine objectives, see the entire situation, exercise command and control of the battle and so on."

A large number of tablet devices has already been given directly to crews, crew commanders and combat vehicles. "All of this is linked into a single system to share information across the decision-making process."

AI based drones

- Artificial intelligence is already used in Russian drones to identify images, automatically lock on targets and provide navigation: As a next step, neural networks need to be trained to create a “data mart which will further improve the time and speed of response.”