Machine learning can help expose illicit nuclear trade, says new report
The Nuclear Threat Initiative (NTI) and the Center for Advanced Defense Studies (C4ADS) last week released Signals in the Noise: Preventing Nuclear Proliferation with Machine Learning & Publicly Available Information, a 22-page report that provides a blueprint for identifying high-risk or illicit nuclear trade. (Machine learning can be defined as a branch of artificial intelligence focused on building applications that learn from data and improve their accuracy over time without being programmed to do so.)