Collective Minds & Machines Exploration Challenge

TopCoder, along with the NASA Tournament Lab and UCSD bring you the Collective Minds and Machine Learning Exploration Challenge. This challenge asks TopCoder community members from around the world to study select satellite imagery of the region of the lost tomb of Genghis Khan and then develop an algorithm that will recognize human built, and potentially historically significant, structures found in those images.
New to TopCoder? Registering is quick and easy! If you would like to participate in this challenge, click the Register link to the right. You will fill out a quick form which will enable you to participate in any TopCoder contest.

Harvard University

Harvard Business School in association with Harvard's Institute of Quantitative Social Science are strategic participants in NASA's Center of Excellence for Collaborative Innovation and the NASA Tournament Lab.
Learn More About Harvard-NTL

Albert Yu-min Lin

National Geographic Emerging Explorer and UCSD Research Scientist who successfully utilized the technique of crowdsourcing to help in a satellite imagery labeling initiative
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NASA Tournament Lab

NASA, Harvard Business School in association with Harvard's Institute of Quantitative Social Sciences, and TopCoder have established the NASA Tournament Lab (NTL), which will enable the TopCoder community to compete amongst each other to create the most innovative, most efficient, and most optimized solutions for specific, real-world challenges being faced by NASA researchers.
Learn More About NTL
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