Bibliometrics Object Recognition Using Deep Neural Networks / Neural Networks / AUTONOMOUS SYSTEMS / Photonics / Thomson Reuters / SABRE / Google / Flagship / IEEE / Microsoft / /
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Taiwan / Germany / Netherlands / Qatar / France / Japan / United States / Australia / United Kingdom / Israel / South Korea / Spain / India / UK / / /
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Man-Made Disaster / /
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Northeastern University / Stanford University / Columbia University / Cornell University / North Carolina State University / Purdue University / /
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less electricity / rise chip / conventional electronics / manufacturing costs / quantum devices / semiconductor devices / linked web sites / ‘highrise’ chip / natural gas / memory devices / energy / energy production / electricity / monthly magazine / toxic chemicals / quantum internet / electronic devices / electronics / rectangular metal waveguide / communication protocols / layers prototype high-rise chip / computing / gas hydrates / memory chips / technology trends / quantum computing / gas and oil / partner networks / mesh networking / /
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Columbia University / Northeastern University / MIT / Harvard / UC Berkeley / Harvard Biodesign Lab / Carnegie Mellon / Purdue University / Cornell University / Technical Intelligence / ESA’s Rosetta mission / Stanford University / United States Department of Defense / Smithsonian / North Carolina State University / /
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Kristopher Gardner / Hema Viswanath / STEPHEN HAWKING / Max Shulaker / /
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Director / Office / OTI Corporate Librarian / /
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The Physics World / Science Daily / Physics World / puzzling particle collisions Science Daily / /
Volume 4, Issue 51 ■ 19DEC2014