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Artificial Intelligence for detecting global security risks

Reference number
Funding from Vinnova SEK 1 989 101
Project duration March 2017 - November 2018
Status Completed

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 effects and result

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.

The project description has been provided by the project members themselves and the text has not been looked at by our editors.

Last updated 15 January 2019

Reference number 2017-00767

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