Challenges in Machine Generation of Analytic Products from Multi-Source Data : Proceedings of a Workshop PDF
by Engineering, and Medicine National Academies of Sciences, Division on Engineering and Physical Sciences, Intelligence Community Studies Board
Edited by Linda Casola
The Intelligence Community Studies Board of the National Academies of Sciences, Engineering, and Medicine convened a workshop on August 9-10, 2017 to examine challenges in machine generation of analytic products from multi-source data. Workshop speakers and participants discussed research challenges related to machine-based methods for generating analytic products and for automating the evaluation of these products, with special attention to learning from small data, using multi-source data, adversarial learning, and understanding the human-machine relationship. This publication summarizes the presentations and discussions from the workshop.