[Idnet] Fwd: IEEE CTN: Machine Learning Modems

Marie-Jose Montpetit <marie@mjmontpetit.com> Fri, 30 March 2018 23:55 UTC

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Subject: [Idnet] Fwd: IEEE CTN: Machine Learning Modems
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More ML.

Marie-José Montpetit

Begin forwarded message:

> From: "IEEE Communications Society" <noreply@comsoc.org>
> Date: March 30, 2018 at 4:03:26 PM EDT
> To: <marie@mjmontpetit.com>
> Subject: IEEE CTN: Machine Learning Modems
> View message online - Click here.  
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> Machine Learning Modems: How ML Will Change How We Specify and Design Next-Generation Communication Systems
> Editor's Note:
> So, I hear you all ask, are we all out of a job? Are communication engineers another victim of the rise of the machine? Well the answer in this article is thankfully no, not yet. But Nathan, Ben and Tim point us towards a fascinating new way to specify and design communication systems that may change forever the way we standardize, design and field optimize our products. Time to take that "basics of ML" online course you have been putting off for the last year! But first, read this article. Comments, and recommendations for good classes in ML, welcome as always in the comments section at the end of the article.
> Alan Gatherer, EIC CTN
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> About IEEE ComSoc Technology News (IEEE CTN) As your prime source for technology news, IEEE CTN is a monthly digital publication that provides the summaries of interesting, timely, and newsworthy papers and articles from ComSoc journals, magazines, conference proceedings, and other IEEE publications. IEEE CTN is supported by volunteer Editorial Board members who are technical experts in diverse fields. They identify papers and subject matters and work with authors to create summaries, with links to full content in IEEE Xplore, in layman's language that is accessible to non-specialists, including students, news media reporters, industry, government, and executives. Summaries are further reviewed and edited by a technical editor. The IEEE CTN Editor-in-Chief performs the final review prior to publication. 
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