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<p>It would choke on assembler as well. Digital computer hard AI is
impossible, because there is no</p>
<p>algorithm for making algorithms. Mathematicaly impossible...</p>
<p>Greets, Branimir.<br>
</p>
<p><br>
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<div class="moz-cite-prefix">On 6/12/20 7:33 PM, Gregory Guthrie
wrote:<br>
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<p class="MsoNormal">I think it would choke on Haskell code!<o:p></o:p></p>
<p class="MsoNormal">Haskell has so many language extensions and
pragmas, and people use many local extensions with monads to
basically create DIY DSL’s – that the code becomes very dense
and context specific.<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
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<p class="MsoNormal" style="margin-bottom:12.0pt"><span
class="desktopfontsize"><b><span
style="font-size:10.0pt;font-family:"Verdana",sans-serif;color:#005985">Facebook's
TransCoder AI Converts Code From One Programming
Language Into Another</span></b></span><span
class="desktopfontsize"><span
style="font-size:10.0pt;font-family:"Verdana",sans-serif;color:#005985"></span></span><span
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</span><span class="desktopfontsize"><b><i><span
style="font-size:10.0pt;font-family:"Verdana",sans-serif;color:#030303">VentureBeat</span></i></b></span><i><span
style="font-size:10.0pt;font-family:"Verdana",sans-serif;color:#666666"><br>
<span class="desktopfontsize">Kyle Wiggers</span><br>
<span class="desktopfontsize">June 9, 2020</span></span></i><span
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<br>
</span><span
style="font-size:10.0pt;font-family:"Verdana",sans-serif;color:black">Facebook
says its TransCoder can convert code from one
high-level programming language into another. The
system, which Facebook researchers describe as “a
neural transcompiler,” uses an unsupervised learning
approach to translate between languages like C++,
Java, and Python. The researchers trained TransCoder
on a public GitHub corpus featuring more than 2.8
million open source repositories. To evaluate its
capabilities, the researchers extracted 852 parallel
functions in C++, Java, and Python from the online
GeeksforGeeks platform and developed a new
computational accuracy metric that tests whether
hypothesis functions generate the same outputs as a
reference when given the same inputs. Wrote the
researchers, “TransCoder can easily be generalized
to any programming language, does not require any
expert knowledge, and outperforms commercial
solutions by a large margin.”</span><span
style="font-size:10.0pt;font-family:"Verdana",sans-serif;color:black"><o:p></o:p></span></p>
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<p class="MsoNormal">Dr. Gregory Guthrie<o:p></o:p></p>
<p class="MsoNormal">Maharishi International University<o:p></o:p></p>
<p class="MsoNormal">----------------------------------------------------------------<o:p></o:p></p>
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