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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.
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Too many developing countries are not on track to reach the Millennium Development Goals (MDGs) by 2015 and need to pursue better and more sustained ways of reducing poverty. If progress continued on present trends, some countries in sub-Saharan Africa would not reach the MDGs for over a century. The private sector has a central role to play in the war on poverty and mobilising private investment is imperative for promoting the broad-based and sustained growth that will help drive poverty reduction. In today’s global economy, private investment is both domestic and foreign and takes many forms, from physical assets to intellectual capital...
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Manufactures --- Catalogs
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