Connectionists: Scientific Integrity, the 2018 Turing Lecture

[Juyang Weng]

Sorry, please kindly correct "2018" in my subject line to "2021" to be
consistent with the original post.  Thanks.

On Wed, Oct 27, 2021 at 1:52 PM Juyang Weng <juyang.weng at gmail.com> wrote:

> Dear Juergen,
>
> Thank you very much for bringing this important issue to the attention of
> this email list.
>
> The Brain-Mind Institute (BMI) is planning on a series of grassroots
> efforts to address this and other wider scope problems, so that the
> scientific community, taxpayers and buyers of publicly listed stocks can
> get informed.  The phenomena you raised are not just a "Scientific
> Integrity" issue, they are much wider and deeper.
>
> Here is a YouTube playlist around the Turing Award 2018:
> https://www.youtube.com/playlist?list=PLntQ4jEfo0MvBeC2lWsRY2ErHs2dFmqY0
>
> I suggest connectionists at cmu not reject such posts (which it blocked some
> before, like a well known "archive" site), so that the scientific community
> and public can communicate about such important matters.
>
> Yours humbly,
> -John Weng
> ----
> Message: 3
> Date: Wed, 27 Oct 2021 07:52:09 +0000
> From: Schmidhuber Juergen <juergen at idsia.ch>
> To: "connectionists at cs.cmu.edu" <connectionists at cs.cmu.edu>
> Subject: Re: Connectionists: Scientific Integrity, the 2021 Turing
>         Lecture,        etc.
> Message-ID: <EDAFC918-66B7-4E7D-871F-A96D49D01523 at supsi.ch>
> Content-Type: text/plain; charset="utf-8"
>
> Hi, fellow artificial neural network enthusiasts!
>
> The connectionists mailing list is perhaps the oldest mailing list on
> ANNs, and many neural net pioneers are still subscribed to it. I am hoping
> that some of them - as well as their contemporaries - might be able to
> provide additional valuable insights into the history of the field.
>
> Following the great success of massive open online peer review (MOOR) for
> my 2015 survey of deep learning (now the most cited article ever published
> in the journal Neural Networks), I've decided to put forward another piece
> for MOOR. I want to thank the many experts who have already provided me
> with comments on it. Please send additional relevant references and
> suggestions for improvements for the following draft directly to me at
> juergen at idsia.ch:
>
>
> https://people.idsia.ch/~juergen/scientific-integrity-turing-award-deep-learning.html
>
> The above is a point-for-point critique of factual errors in ACM's
> justification of the ACM A. M. Turing Award for deep learning and a
> critique of the Turing Lecture published by ACM in July 2021. This work can
> also be seen as a short history of deep learning, at least as far as ACM's
> errors and the Turing Lecture are concerned.
>
> I know that some view this as a controversial topic. However, it is the
> very nature of science to resolve controversies through facts. Credit
> assignment is as core to scientific history as it is to machine learning.
> My aim is to ensure that the true history of our field is preserved for
> posterity.
>
> Thank you all in advance for your help!
>
> J?rgen Schmidhuber
>
>

-- 
Juyang (John) Weng, Professor
Department of Computer Science and Engineering
MSU Cognitive Science Program
and MSU Neuroscience Program
428 S. Shaw Lane, Room 3115
Michigan State University
East Lansing, MI 48824 USA
Office: 517-353-4388
Fax: 517-432-1061
Email: weng at cse.msu.edu
http://www.cse.msu.edu/~weng/
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