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10.1038/srep22381 http://scihub22266oqcxt.onion/10.1038/srep22381 C4776108!4776108!26935166     free     free     free Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\26935166.jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Sci+Rep 2016 ; 6 (�): � Nephropedia Template TP {{tp|p=26935166|t=2016. Fully analogue photonic reservoir computer |pdf=|usr=}}{{26935166}} gab.com Text Fully analogue photonic reservoir computer JO: Sci Rep http://www.kidney.de/pget.php?&tw=1&pmid=26935166 #FOAvip Introduced a decade ago, reservoir computing is an efficient approach for signal processing. State of the art capabilities have already been demonstrated with both computer simulations and physical implementations. If photonic reservoir computing appears to be promising a solution for ultrafast nontrivial computing, all the implementations presented up to now require digital pre or post processing, which prevents them from exploiting their full potential, in particular in terms of processing speed. We address here the possibility to get rid simultaneously of both digital pre and post processing. The standalone fully analogue reservoir computer resulting from our endeavour is compared to previous experiments and only exhibits rather limited degradation of performances. Our experiment constitutes a proof of concept for standalone physical reservoir computers. Twit Text FOAVip Fully analogue photonic reservoir computer ????Sci Rep http://www.kidney.de/pget.php?&tw=1&pmid=26935166 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26935166 #FOAvip English Wikipedia <ref>{{Cite pmid|26935166}}</ref> Fully analogue photonic reservoir computer #MMPMID26935166 Duport F; Smerieri A; Akrout A; Haelterman M; Massar S Sci Rep 2016[]; 6 (�): � PMID26935166show ga Introduced a decade ago, reservoir computing is an efficient approach for signal processing. State of the art capabilities have already been demonstrated with both computer simulations and physical implementations. If photonic reservoir computing appears to be promising a solution for ultrafast nontrivial computing, all the implementations presented up to now require digital pre or post processing, which prevents them from exploiting their full potential, in particular in terms of processing speed. We address here the possibility to get rid simultaneously of both digital pre and post processing. The standalone fully analogue reservoir computer resulting from our endeavour is compared to previous experiments and only exhibits rather limited degradation of performances. Our experiment constitutes a proof of concept for standalone physical reservoir computers. �Fully analogue photonic reservoir computer (epmc).pdf DeepDyve Pubget Overpricing