IEEE Spectrum  February 2, 2021 An international team of researchers (Germany, USA – industry) has developed a machine learning algorithm to determine the likelihood of asymptomatic carriers of the SARS-CoV-2 virus by using interaction-based continuous learning and inference of individual probability (CLIIP) for contagious ranking. It is based on multi-layer bidirectional path tracking and inference searching. The individual directed graph is determined by the appearance timeline and spatial data that can adapt over time, taking into account the incubation period and several features that can represent real-world circumstances, such as the number of asymptomatic carriers present. The model collects the […]