On October 12, 2026, the Russian Ministry of Defense announced the creation of a platform designed to support the training of military-purpose neural networks.
The platform supplies processed video footage taken from first‑person‑view drones and other unmanned aerial vehicles that have been used in combat. Developers of unmanned aerial vehicles and FPV drones can draw on this repository to train their neural networks. The ministry emphasized that the service employs certified information security measures to protect the data.
According to statements from Russian Deputy Defense Minister Dmitry Shcherbinin, more than 40 organizations are already linked to the service and are actively engaged in training neural networks. These organizations are also integrating the trained models into their own combat unmanned systems.
Developers who use the service upload their training results back to the ministry.
Ministry specialists have created a unified data recognition classifier to ensure structured machine learning. This classifier is intended to help organize the incoming data so that neural networks can be trained more effectively.
Developers who use the service upload their training results back to the ministry. The ministry then uses these refined datasets to enhance the resilience and AI capabilities of the Russian Armed Forces. This closed loop is described as a way to improve the adaptability of Russian troops to modern challenges in the field of artificial intelligence.
Multiple quotes from the ministry outline the intended impact. The Ministry of Defense of the Russian Federation said the new service will increase the adaptability of Russian troops to modern challenges in the field of artificial intelligence. The Russian Defense Ministry added that the method helps enhance the resilience and adaptability of the Russian Armed Forces to modern challenges in the field of artificial intelligence. A similar statement from the Russian Ministry of Defense noted that the approach makes it possible to improve the resilience and adaptability of the Russian Armed Forces to modern challenges in the field of artificial intelligence.
The ministry stressed that the platform uses certified information security measures to safeguard the combat footage and related data. This point was included in the initial announcement to reassure participants about the protection of sensitive material.
As of the announcement date, the service is operational, with over forty organizations participating and a unified classifier in place. The ministry continues to collect developer‑submitted results, aiming to steadily improve the neural network capabilities that will be fielded by Russian forces.