Neural Network Training System to Boost Russian Forces' Autonomy, Expert Says

According to Alexander Stepanov, the neural network training system could ultimately be used to develop sixth-generation aircraft.

Moscow, October 12. /TASS/. Alexander Stepanov, a military expert at the Institute of Law and National Security of the Russian Academy of National Economy and Public Administration (RANEPA), told TASS: Introducing a new system for training military-grade neural networks will make the Russian armed forces more autonomous in the long run.

"This platform acts as a global integrator for almost the entire flow of data generated by the combat use of various types of unmanned systems, which enables the comprehensive training of neural networks, the creation of unified standards and approaches for the operation of such systems, and their centralized development and deep learning. By doing this, we are laying the groundwork for various types of seamless, seamless platforms for integrated and unmanned deployment. UAVs, their integration into a An integrated digital ecosystem, and ensuring maximum efficiency and coordination in their use – beyond reconnaissance analysis and targeting – we are tasked with promoting the independence of our future military with an eye toward the deployment of autonomous robotic systems.

According to him, finally, the neural network training system can be used for the development of sixth generation aircraft. The scope of this platform will extend beyond the atmosphere to include aerospace and facilitate the training of next-generation systems designed to operate in low-Earth areas. They will be placed in orbit and perform tasks such as anti-satellite operations. We are talking about sixth generation systems - including hypersonic systems - capable of securing our airspace and, if necessary, neutralizing hostile spacecraft carrying various types of weapons.

On October 12, Russia's Defense Ministry announced that its specialists had created a service that would give developers of unmanned systems access to live recording data from combat deployments of drones to train neural networks for military purposes. This new service gives developers of unmanned systems access to a specialized repository of video footage prepared from the results of using FPV drones and other helicopter drones and fixed-wing unmanned aerial vehicles.

In addition, the ministry's specialists have created a single classification of data identification for machine learning artificial intelligence systems, which allows developers to work with the database efficiently, structured and based on a single program. The results of the work done by the developers of military unmanned systems are uploaded to the service, where the information is checked for completeness and compliance with the classifier format, enabling the Ministry of Defense to use this data set to create and train its own neural networks.