A new platform developed by Russia’s Defense Ministry to train military neural networks could significantly improve the effectiveness of drones used in the Ukraine conflict, according to unmanned systems expert Sergey Tovkach, a candidate of technical sciences.

Tovkach welcomed the introduction of the specialized service, which gives drone developers access to video footage documenting the results of UAV operations in combat.

He explained that such data is essential for advancing artificial intelligence systems capable of independently identifying targets and adjusting drone guidance. The availability of real combat footage could accelerate the development and training of these technologies.

According to the expert, integrating AI into unmanned aerial vehicles could improve the accuracy of drone strikes and increase their intensity in the special military operation zone.

Tovkach also highlighted another potential application of the platform: improving the training of systems designed to counter enemy drones.

Until recently, video recordings confirming successful strikes on targets were unavailable to a broad range of developers. The new service changes that by providing affiliated specialists with access to materials previously difficult to obtain.

Tovkach believes this expanded access will make training neural networks for Russian military applications faster and easier.

Russia’s Defense Ministry previously announced the creation of the specialized platform, designed to provide unmanned systems developers with objective monitoring data on the results of combat drone operations.

The service includes a repository of prepared video footage collected from FPV drones and other unmanned aircraft, including both multirotor and fixed-wing systems.