Generolo Jono Žemaičio Lietuvos karo akademija

The paper presents the Virtual Reality (VR) - Augmented Reality (AR) Simulator Kit designed for Call for Fire (CFF) training within the framework of fire support. It describes the system’s modular architecture, the use of mixed reality, voice control, and Artificial Intelligence (AI) based analysis of standardized CFF communication. Pilot validation confirmed the technical functionality of the solution, as well as its ability to objectively assess procedural correctness and monitor reaction time and error rates. Its main contribution lies in linking immersive training with the broader context of fire support command and control. The originality of the paper consists in integrating VR/AR, AI, and analytical evaluation into a single training ecosystem.

The paper examines contemporary national defence challenges arising from the interconnection of digital technologies, social dynamics, and global tensions. Using interdisciplinary analysis and policy review, it explores how cyber threats and emerging technologies shape resilience and security outcomes. The findings highlight the critical role of societal trust, strategic communication, and coordinated international frameworks such as NATO and EU initiatives. The study implies that effective defence strategies require integrated technological, social, and policy dimensions. The paper contributes original insights into comprehensive security approaches that enhance both national and collective resilience in the digital age.

This paper examines the use of Virtual Reality (VR) for teaching the historical role of artillery. The methodology combines VR-based scenarios with behavioral and speech analytics supported by Artificial Intelligence. The findings indicate that VR enhances understanding of decision-making under constraints and shifts learners from technical to context-driven reasoning. The results suggest that VR can improve the linkage between theory and operational practice in artillery training. The study contributes by integrating experiential learning with measurable performance indicators and offers a novel approach to military education.

Integration of artificial intelligence (AI) into military operations and planning processes has become a central focus in modern warfare.

Changes in the state governance in Russia continues. The reasons why those changes are made could be found in “Russian Doctrine” an academic work of Russian right wing academia, which recommends establishing in Russia a new type of empire - a network based hierarchical governing system. Without publicly announcing the Doctrine as own ideological doctrine V. Putin uses it as a guidance. While restoring Russia as a global power he sees this type of governance as the best condition to maintain his own status as well. With V. Putin coming from the military organization which appreciates efficiency achieved though centralised management, synchronized activities and application of technologies, the changes are achieved by applying same principles in political statements and official documents and implemented in structural changes and applications of technologies.

Artificial intelligence is used in a variety of fields: planning operations, helping commanders make decisions, etc. However, the use of artificial intelligence in warfare faces to internationally recognized human rights, the Law of War and the Rules of Engagement. The purpose of this work is to attempt to highlight certain ethical, moral, and legal issues that may be relevant to the development and use of artificial intelligence for military purposes. Since there are not enough investigations related to such fields, this paper will be based on the analysis of the use of robots.

The article formalizes theoretical and methodological foundations of the use of parametric artificial intelligence technologies to ensure the security of sustainable society development. An algorithm for using an artificial neuron to describe a model of social development is proposed. Optimization of the processes of using neural networks in creating an expert system for forecasting safe social development is conducted.