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Birdofpreyru (talk | contribs) Added a sentence about ConsenSys Mythril project, along with few refs to related articles. |
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=== Harvard Medical School ===
In 2013, it was reported that researchers from [[Harvard Medical School]], [[Harvard Business School]], and [[London Business School]] successfully used Topcoder Community to solve complex biological problems.<ref>{{Cite news|url=https://www.sciencedaily.com/releases/2013/02/130207141448.htm|title=Solving big-data bottleneck: Scientists team with business innovators to tackle research hurdles|last=|first=|date=February 7, 2013|work=Science News|access-date=April 30, 2018}}</ref> Researchers say that Topcoder competitors approached the biology-related [[Big data|big-data]] challenge, and managed to create a more accurate and 1000 times faster alternative of [[BLAST|BLAST algorithm]].<ref>{{Cite journal|vauthors=Lakhani KR, Boudreau KJ, Loh PR, Backstrom L, Baldwin C, Lonstein E, Lydon M, McCormack A, Arnaout RA, Guinan EC|date=February 7, 2013|title=Prize-based contests can provide solutions to computational biology problems|url=https://www.nature.com/articles/nbt.2495|journal=Nature Biotechnology|volume=31|pages=108 - 111|doi=10.1038/nbt.2495|via=|pmc=4527172}}</ref><ref>{{Cite journal|last=Eisenstein|first=Michael|date=July 9, 2013|title=Crowdsourced contest identifies best-in-class breast cancer prognostic|url=https://www.nature.com/articles/nbt0713-578b|journal=Nature Biotechnology|volume=31|pages=578 - 580|doi=10.1038/nbt0713-578b|via=}}</ref>
=== IARPA ===
[[Intelligence Advanced Research Projects Activity]] organization collaborates with Topcoder to create innovative algorithms for [[Intelligence assessment|intelligence applications]]. From July 2017 to February 2018 it ran the Functional Map of the World challenge to develop deep learning algorithms capable of scanning and identifying in satellite imagery different classes of objects, such as airports, schools, oil wells, shipyards, or ports .<ref>{{Cite web|url=https://www.c4isrnet.com/intel-geoint/2018/09/18/differentiating-a-port-from-a-shipyard-is-a-new-kind-of-problem-for-ai/|title=Differentiating a port from a shipyard is a new kind of problem for AI|last=Cebul|first=Daniel|date=September 18, 2018|website=C4ISRNET|archive-url=|archive-date=|dead-url=|access-date=September 18, 2018}}</ref> In the ongoing Mercury challenge it aims to create [[Artificial intelligence|AI methods]] for automated prediction of critical events, involving military action, non-violent civil unrest, and infectious diseases in Middle East.<ref>{{Cite web|url=https://www.topcoder.com/mercury-challenge|title=Mercury Challenge Data Science Match|last=|first=|date=|website=Topcoder|archive-url=|archive-date=|dead-url=|access-date=September 18, 2018}}</ref>
=== IBM ===
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