What have neural networks achieved?

[Sirosh, Joseph]

Michael,

A significant commercial success of neural networks has been in credit card
fraud detection. The Falcon credit card fraud detection package, developed
by HNC Software Inc. of San Diego (http://www.hnc.com/), uses supervised
neural networks, covers over 260 million credit cards worldwide,  and
generates several tens of millions in annual revenue. Attached is a
corporate blurb that gives more info about HNC and some of its products.
There's more info on the company web page.

Sincerely,

Joseph Sirosh
Senior Staff Scientist
Exploratory R&D Group
HNC Software Inc.

=================================
Headquartered in San Diego, California, HNC Software Inc. (NASDAQ: HNCS) is
the leading vendor of computational intelligence software solutions for the
financial, insurance, and retail markets, and U.S. Government customers.
HNC Software and its subsidiaries - Risk Data Corporation, CompReview,
Aptex, and Retek - use advanced technologies such as neural networks,
context vector analysis, and expert rules to deliver powerful solutions for
complex pattern recognition and predictive modeling problems.  For the U.S.
Government, HNC has developed systems for content based text retrieval,
multimedia information retrieval, image understanding, and intelligent
agents.  For commercial markets, HNC is the leading supplier of credit card
fraud detection systems, with 23 of the 25 largest U.S. financial
institutions being HNC customers.  HNC also develops a broad spectrum of
additional products, including solutions for profitability analysis,
bankruptcy prediction, worker's compensation claims management, retail
information management, and database mining.  Since its founding in 1986,
HNC has grown along with its product offerings and, as of the end of fiscal
year 1997, had over 700 employees and revenues of $113 million. 
==================================


> ----------
> From: 	Michael A. Arbib <arbib at pollux.usc.edu>
> Sent: 	Monday, August 17, 1998 11:28 AM
> To: 	Sirosh, Joseph
> Subject: 	What have neural networks achieved?
> 
> > Recently, Stuart Russell addressed the following query to Fellows of the
> AAAI:
> > 
> > > This Saturday there will be a debate with John McCarthy, David Israel,
> > > Stuart Dreyfus and myself on the topic of
> > > "How is the quest for artificial intelligence progressing?"
> > > This is widely publicized, likely to be partially televised,
> > > and will be attended by a lot of journalists.
> > >
> > > For this, and for AAAI's future reference, I'd like to collect
> > > convincing examples of progress, particularly examples that will
> > > convince journalists and the general public. For now all I need
> > > is a URL or other accessible pointer and a one or two sentence
> > > description. (It does not *necessarily* have to be your own work!)
> > > Pictures would be very helpful.
> > 
> > This spurs me as I work on the 2nd edition of the Handbook of Brain
> Theory
> > and Neural Networks (due out in 2 years or so; MIT Press has just issued
> a
> > paperback of the first edition) to pose to you two related questions:
> > 
> > a) What are the "big success stories" (i.e., of the kind the general
> public
> > could understand) for neural networks contributing to the understanding
> of
> > "real" brains, i.e., within the fields of cognitive science and
> > neuroscience.
> > 
> > b) What are the "big success stories" (i.e., of the kind the general
> public
> > could understand) for neural networks contributing to the construction
> of
> > "artificial" brains, i.e., successfully fielded applications of NN
> hardware
> > and software that have had a major commercial or other impact?
> > 
> > 
> > 
> >  *********************************
> >  Michael A. Arbib
> >  USC Brain Project
> >  University of Southern California
> >  Los Angeles, CA 90089-2520, USA
> >  arbib at pollux.usc.edu
> >  (213) 740-9220; Fax: 213-740-5687
> >  http://www-hbp.usc.edu/HBP/
> > 
> > 
> 
> 
> -- 
>