Fix some spelling in opus5. - tgtimes - The Gopher Times
 (HTM) git clone git://bitreich.org/tgtimes git://enlrupgkhuxnvlhsf6lc3fziv5h2hhfrinws65d7roiv6bfj7d652fid.onion/tgtimes
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 (DIR) commit 34233410dec9130fdfee42b6360ceb9b099060a3
 (DIR) parent 2833f18d3e38cd92a850f7b07d449f7b4d4b2f1e
 (HTM) Author: Christoph Lohmann <20h@r-36.net>
       Date:   Tue,  5 Jul 2022 22:35:35 +0200
       
       Fix some spelling in opus5.
       
       Diffstat:
         M opus5/article-tgtimes-Synthetic-As… |       5 +++--
         M opus5/article-tgtimes-Wireless-Wir… |       6 +++---
       
       2 files changed, 6 insertions(+), 5 deletions(-)
       ---
 (DIR) diff --git a/opus5/article-tgtimes-Synthetic-Ascii-Art.mw b/opus5/article-tgtimes-Synthetic-Ascii-Art.mw
       @@ -33,7 +33,8 @@ This is possibly the state of the art of 2010 technology.
        It was announced in the yearly conference SIGGRAPH hence presented to an audience full of computer graphics engineers.
        The work of three researchers from Hong Kong, Xuemiao Xu, Linling Zhang and Tien-Tsin Wong, shows results of surprising accuracy.
        The story does not tell whether there ever was a job offer "looking for ASCII artists for a scientific experiment" posted on the job board of the Chinese University of Hong Kong.
       -While the paper contains the complete math used, it also illustrates and explains methods to acheive this level of accuracy.
       +While the paper contains the complete math used, it also illustrates and
       +explains methods to achieve this level of accuracy.
        And no, it is not exactly machine learning, but hand-crafted strategies, combined statistics and other data massaging.
        After all, it was published five years before things like Tensor Flow were introduced...
        .
       @@ -42,7 +43,7 @@ http://www.cse.cuhk.edu.hk/~ttwong/papers/asciiart/asciiart.html
        .FE
        .
        .IP "Generated ASCII Art in 2017"
       -Is seven years enough time to improve upon that previous acheivement?
       +Is seven years enough time to improve upon that previous achievement?
        Quoting the previous paper as well as others in its own work,
        Osamu Akiyama of the Osaka Faculty of Medicine kept the ball rolling.
        This throws the big guns of machine learning to reach higher skies.
 (DIR) diff --git a/opus5/article-tgtimes-Wireless-Wireless-Everywhere.mw b/opus5/article-tgtimes-Wireless-Wireless-Everywhere.mw
       @@ -26,7 +26,7 @@ So here comes wireless.
        While not frequent in large computer infrastructure, wireless is invading the market along with battery devices.
        Using radio waves to make device talk to each other, at various frequencies, modulation, datarate and distance.
        Ready to sacrifice any amount of good engineering to make itself more seducing to the market,
       -marketting perpetuates the same illusion of making computer troubles fade away with wireless.
       +marketing perpetuates the same illusion of making computer troubles fade away with wireless.
        .
        .PP
        From the Bluetooth protocol swamp of mixed edge-cases and complexity,
       @@ -39,7 +39,7 @@ Wireless does not have the same fame among developers valuing simplicity and rel
        .
        .PP
        Even the United Army holds griefs against wireless such as Bluetooth,
       -and disrecommand it for use by militaries:
       +and disrecommends it for use by militaries:
        .FS
        https://armypubs.army.mil/epubs/DR_pubs/DR_a/pdf/web/
        ARN4771_Pam25-2-9_Final_Web.pdf
       @@ -49,7 +49,7 @@ ARN4771_Pam25-2-9_Final_Web.pdf
        Do not use Bluetooth devices to send, receive, store, or process classified information.
        .
        .PP
       -This means no Bluetooth keybaord, no Bluetooth headset during phone calls,
       +This means no Bluetooth keyboard, no Bluetooth headset during phone calls,
        no Bluetooth sharing between the phone and the computer...
        In other words, no Bluetooth.
        .