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Jürgen Schmidhuber Philosophers & Futurists, Catch Up! Response to The Singularity
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Document Date: 2012-03-14 10:08:45


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Switzerland Journal / Kaelbling L.P. / Neural Information Processing Systems / Neural Networks / Lawrence Erlbaum Associates / MIT Press / Bluejay Books Inc. / High Performance Convolutional Neural Networks / /

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Switzerland / /

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Carnegie-Mellon University / Switzerland University of Lugano / Massachusetts Institute of Technology / /

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intelligent systems / by-products / non-essential by-product / natural by-product / time complexity learning algorithm / less intelligent systems / recurrent networks / energy requirements / evolutionary algorithm / induction systems / computing / self-improving systems / shortest algorithm / proof search / physical systems / learning algorithm / sequential search problems / learning algorithms / recurrent gas market model / /

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Society of Instrument and Control Engineers / Universal Artificial Intelligence / Institut fòr Informatik / MIT / Carnegie-Mellon University / National Aeronautics and Space Administration / Massachusetts Institute of Technology / Switzerland University of Lugano / /

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Brain Sciences / Physik / Konrad Zuse / Daniel F. Galuye / Friedrich Vieweg / Vernor Vinge / Radig / /

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computer scientist / SF author / D.J. / /

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Prolog / /

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IEEE Transactions on Information Theory / Journal of Consciousness Studies / International Journal of Theoretical Physics / Lecture Notes in Computer Science / /

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learning algorithm / neural network / artificial intelligence / evolutionary algorithm / Gradient-based learning algorithms / machine learning / simulation / time complexity learning algorithm / /

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