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.)