From: Keith Elis (hagbard@ix.netcom.com)
Date: Mon Apr 28 2003 - 20:27:22 MDT
I've been watching this company for a couple of months. Their financials
are weak, but ignoring fiduciary arcana, this is a damn cool idea. I had
been batting around some ideas (hopelessly primitive) about brute-force
context-mapping as an approach to langauge translation software, but I
just never knew enough about Bayesian stats to come up with what these
guys have apparently been working on since the early 90s. BTW, in the
interest of full disclosure, I don't own any stock in this company.
Keith
-------------------------------------
Autonomy Corporation plc
(NasdaqNM:AUTN)
From Yahoo:
"Autonomy Corporation plc is a provider of infrastructure software. The
Company's technology powers applications dependent upon unstructured
information, including e-commerce, customer relationship management
(CRM), knowledge management, enterprise information portals, enterprise
resource planning (ERP) and online publishing. . ."
From the company website: http://www.autonomy.com/
"Autonomy's strength lies in a unique combination of technologies that
employs advanced pattern-matching techniques utilizing Bayesian
Inference and Claude Shannon's principles of information theory. By
automatically forming an understanding of the concepts within the
content of a piece of text or voice or by analysing an image or piece of
video, Autonomy's software is able to perform a limitless combination of
content-to-content, content-to-people or people-to-people interactions
and tasks. . ."
Fun article, nothing deep: http://www.rkdn.org/innovations/bayesian.asp
"The mathematical processes behind Autonomy's methods are complex, but
the promise itself is simple: to enable computers to extract meaning
from text and to use that meaning to better categorize and deliver
useful information. While computers have long been able to identify
strings of keywords, anyone who's used a search engine can testify to
its limits. What makes Autonomy's products different is an underlying
pattern-recognition algorithm, derived from Bayes' formulations, which
empowers computers to act as if they possessed abilities we think of as
subtly and profoundly human: comprehending context, generalizing from
words to an idea, even understanding the unspoken by grasping the root
concepts beneath the play of syntax."
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