---------- Forwarded message ----------
From: richard ruquist <yann...@yahoo.com>
Date: Mon, Oct 28, 2013 at 12:18 PM
Subject: Vicarious AI breaks CAPTCHA ‘Turing test’
To: "swi...@yahoogroups.com" <swi...@yahoogroups.com>, "yann...@gmail.com" <

Vicarious AI breaks CAPTCHA ‘Turing test’October 28, 2013
*[+]* <http://www.kurzweilai.net/images/CAPTCHA-accuracy.png>
Average recognition accuracy (per character) claimed for the Vicarious
algorithms for different CAPTCHA styles (credit: Vicarious)
Vicarious <http://vicarious.com/>, a startup developing artificial
intelligence software, today announced that its algorithms can now reliably
solve modern CAPTCHAs (Completely Automated Public Turing tests to tell
Computers and Humans Apart).
Stanford University researchers have suggested that a CAPTCHA scheme (which
are used by websites to verify that a visitor is human by asking them to
transcribe a string of distorted letters) should be considered “broken” if
an algorithm is able to reach a precision* (fraction of CAPTCHAs answered
correctly) of at least 1% [1].
*Breaking CAPTCHAs*
Vicarious claims they can go way beyond that by leveraging core insights
from machine learning and neuroscience, saying its AI algorithms achieve
success rates up to 90% on modern CAPTCHAs.
“This advancement renders text-based CAPTCHAs no longer effective as a
Turing test,” according to a Vicarious statement. (The Stanford study calls
it a “reverse Turing test” because CAPTCHAs are intended to allow a website
to determine if a remote client is human or not.)
“Recent AI systems like IBM’s Watson and deep neural networks rely on brute
force: connecting massive computing power to massive datasets,” said
Vicarious cofounder D. Scott Phoenix.
“This is the first time this distinctively human act of perception has been
achieved, and it uses relatively minuscule amounts of data and computing
power. The Vicarious algorithms achieve a level of effectiveness and
efficiency much closer to actual human brains.”
*A brain-like vision system*
“Understanding how the brain creates intelligence is the ultimate
scientific challenge. Vicarious has a long term strategy for developing
human level artificial intelligence, and it starts with building a
brain-like vision system,” said Vicarious cofounder Dileep George, PhD, who
was formerly Chief Technology Officer at Numenta, a company he cofounded
with Jeff Hawkins and Donna Dubinsky (Palm Computing, Handspring) while
completing his PhD at Stanford University.
“Modern CAPTCHAs provide a snapshot of the challenges of visual perception,
and solving those in a general way required us to understand how the brain
does it.”
Solving CAPTCHA is the first public demonstration of the capabilities of
Vicarious’ Recursive Cortical
machine learning software,  which is based on the computational principles
of the human brain. (Vicarious says it does not plan to release RCN or its
algorithms publicly).
Vicarious’ RCN technology is a visual perception system that interprets the
contents of photographs and videos in a manner similar to humans. “Although
still many years away, the commercial applications of RCN will have broad
implications for robotics, medical image analysis, image and video search,
and many other fields,” according to a Vicarious statement.

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