The Promise of Data Science for the Technosignatures Field

University of Central Florida, University of California Berkeley, Center for Space and Habitability
20-Mar-2019
This paper outlines some of the possible advancements for the technosignatures searches using the new methods currently rapidly developing in computer science, such as machine learning and deep learning. It also showcases a couple of case studies of large research programs where such methods have been already successfully implemented with notable results. We consider that the availability of data from all sky, all the time observations paired with the latest developments in computational capabilities and algorithms currently used in artificial intelligence, including automation, will spur an unprecedented development of the technosignatures search efforts.

https://arxiv.org/abs/1903.08381