[FRIAM] New ways of understanding the world
Jochen Fromm
jofr at cas-group.net
Mon Nov 30 16:14:31 EST 2020
The success of Google's deep learning program in predicting protein folding is impressive. Maybe that is what he meant.https://www.nature.com/articles/d41586-020-03348-4-J.
-------- Original message --------From: Steve Smith <sasmyth at swcp.com> Date: 11/30/20 21:55 (GMT+01:00) To: friam at redfish.com Subject: Re: [FRIAM] New ways of understanding the world
Or a "model of nothing fit to everything we know: useful or
merely wrong?"
On 11/30/20 1:41 PM, Jochen Fromm
wrote:
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.
- .... . -..-. . -. -.. -..-. .. ... -..-. .... . .-. .
FRIAM Applied Complexity Group listserv
Zoom Fridays 9:30a-12p Mtn GMT-6 bit.ly/virtualfriam
un/subscribe http://redfish.com/mailman/listinfo/friam_redfish.com
archives: http://friam.471366.n2.nabble.com/
FRIAM-COMIC http://friam-comic.blogspot.com/
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://redfish.com/pipermail/friam_redfish.com/attachments/20201130/22be34c7/attachment.html>
More information about the Friam
mailing list