A team of researchers has used machine learning to predict and explain terrorist attacks.

Their tests suggest the models canaccurately predict attacks in regions that are already affected by terrorism.

However, they foundthat black swan events, which occur sporadically, are almost impossible to predict.

Machine learning generates insights into worldwide terrorist attacks

40% off TNW Conference!

you’ve got the option to read the open-access study paper in thejournalScience Advances.

Story byThomas Macaulay

Thomas is the managing editor of TNW.

Analyzing terrorist attacks.

He leads our coverage of European tech and oversees our talented team of writers.

Away from work, he e(show all)Thomas is the managing editor of TNW.

He leads our coverage of European tech and oversees our talented team of writers.

Away from work, he enjoys playing chess (badly) and the guitar (even worse).

Also tagged with