Innovative technologies for information detection are gaining momentum, as the Center for Advanced Experience 'Boriviter' has initiated testing of a new neural network called 'ODCR Assistant'. This system is designed to automate the process of collecting and analyzing open-source information about the enemy. The project is being implemented by the analytical department and aims to identify critical data from the adversary's media platforms.

The new module operates with unstructured data, particularly analyzing Russian military social networks and technical blogs. Each day, the system processes around a thousand messages, which are categorized using markers: 'green' and 'red'. If a message contains 'green' keywords and lacks 'red' ones, it moves to the next stage for generating insights.

The next phase will involve verifying the novelty of the information and its systematization. Developers emphasize that complete automation of analysis is currently unattainable, thus human involvement remains essential.

In addition to the 'ODCR Assistant', the team is working on a language model for Ukrainian military personnel, which will be based on neural networks and feature an interface similar to ChatGPT. The primary aim is to facilitate dialogue with experts and simplify situational analysis.

The development is being conducted by the 'Boriviter' team on powerful servers using their own resources. The organization is open to collaboration but stresses the importance of non-commercial support aimed solely at the Ukrainian army.