Artificial Intelligence for detecting global security risks
Purpose and goal
The project sought efficient methods for detecting global security risks using neural networks. We achieved our goals and identified efficient and sustainable systems, methods and processes for faster, wider and more detailed monitoring of safety-related incidents.
Expected results and effects
The project has revealed solutions for development and integration of smart, efficient and sustainable systems. With these results, we will be able to quickly utilize the next generation of technologies within AI to significantly increase our monitoring of global safety hazards.
Planned approach and implementation
Early on, we identified the most promising technologies for efficient and sustainable systems. These were tested and evaluated methodically, integrated with our systems and processes, to narrow down the most suitable and efficient systems.