Machine learning enables early-warning signals to be recognised in the event of social instability
The Cyber-Defence Campus of armasuisse Science and Technology (S+T) has developed new techniques of machine learning in cooperation with the start-up giotto.ai and ETH Lausanne. Thanks to these new techniques, early-warning signals for socially disruptive events such as riots, wars or revolutions can be recognised and identified in social media.
Dr Étienne Voutaz, specialist area Cyber Security and Data Science, competence sector Science and Technology
