[FRIAM] New ways of understanding the world

Jochen Fromm jofr at cas-group.net
Mon Nov 30 16:07:51 EST 2020


Dennis Overbye recently had a similar NY Times article. It claims that "in 10 years, machine-learning will be as essential to doing physics as knowing math". What do you think? https://www.nytimes.com/2020/11/23/science/artificial-intelligence-ai-physics-theory.html-J.
-------- Original message --------From: Jochen Fromm <jofr at cas-group.net> Date: 11/30/20  21:42  (GMT+01:00) To: The Friday Morning Applied Complexity Coffee Group <friam at redfish.com> Subject: [FRIAM] New ways of understanding the world Chris Anderson, the editor in chief of Wired, asks if a computer can find a theory of everything merely by learning from data. Unfortunately most deep learning models are like a black box which delivers good results but is hard to understand. Would a theory of everything be a theory of nothing? It reminds me of Russell Standish's book "theory of nothing".https://www.wired.com/2008/06/pb-theory/-J.
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://redfish.com/pipermail/friam_redfish.com/attachments/20201130/e98ecf69/attachment.html>


More information about the Friam mailing list