🚀 go-pugleaf

CU Boulder has a leading group in an area of artificial intelligence known
as "neural networks".  Neural networks are computational systems whose 
architecture is inspired by the human brain.  Neural networks have the ability
to _learn_ from experience by interacting with their environment.  Loosely,
neural networks _program themselves_ instead of having to be programmed by
hand to perform a certain function.  This is a hot and promising
area of research; neural networks have become standard tools in many fields.

I am looking to recruit top-notch undergrads to collaborate on research 
projects.  Other faculty in the area (Satinder Singh, Andreas Weigend, and 
-- arriving in the Fall of 1997 -- Randall O'Reilly) may be interested as well.

If you have an interest in artificial intelligence, and you would like
to get involved in leading-edge research (especially valuable if you
are thinking about continuing your studies in an MS or PhD program), 
please consider this opportunity.  Students will receive upper-division
computer science credit for their participation.

The prerequisites for participating are: (1) a strong background and
ability in math, particularly statistics, and (2) some background in AI
or neural networks.  One way of preparing is to take the neural networks
course, being offered this Fall.  Unfortunately, we are not offering
an undergraduate version of the course this year, but strong undergraduates
have done well in the graduate course in the past.  The course number
is CSCI 5622.  The course is taught by Professor Singh, and you will need
to check with him before enrolling.

If you'd like to discuss this with me, my office is ECOT 741, or send e-mail.

Professor Michael Mozer
mozer@cs.colorado.edu