[Ip-health] Scientists See Advances in Deep Learning, a Part of Artificial Intelligence - NYTimes.com
james.love at keionline.org
Sat Nov 24 05:18:25 PST 2012
Using an artificial intelligence technique inspired by theories about
how the brain recognizes patterns, technology companies are reporting
startling gains in fields as diverse as computer vision, speech
recognition and the identification of promising new molecules for
. . .
In October, for example, a team of graduate students studying with the
University of Toronto computer scientist Geoffrey E. Hinton won the
top prize in a contest sponsored by Merck to design software to help
find molecules that might lead to new drugs.
>From a data set describing the chemical structure of 15 different
molecules, they used deep-learning software to determine which
molecule was most likely to be an effective drug agent.
The achievement was particularly impressive because the team decided
to enter the contest at the last minute and designed its software with
no specific knowledge about how the molecules bind to their targets.
The students were also working with a relatively small set of data;
neural nets typically perform well only with very large ones.
“This is a really breathtaking result because it is the first time
that deep learning won, and more significantly it won on a data set
that it wouldn’t have been expected to win at,” said Anthony
Goldbloom, chief executive and founder of Kaggle, a company that
organizes data science competitions, including the Merck contest.
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