[news.announce.conferences] Workshop on VLSI implementation of Neural Networks

marwan@extro.ucc.su.oz.au (Marwan Jabri) (09/24/88)

[This message was rather munged when it arrived.  I have tried to
reconstruct it as best as possible.  -mod]


			       Neural Networks -
			 Their Implementation in VLSI

			    A Two Day Workshop

			     5-6 November 1988

			 Sydney University Electrical
				 Engineering


				 Sponsored by

		      Electrical Engineering Foundation,
			    University of Sydney

Introduction
-------------
Research in artificial neural systems or, more commonly, artificial
neural networks (NNs) has gained new momentum following a decline in
the late 1960s as a result of unsuccesthe problem solving areas where
conventional digital computers, with processing elements switching in
nanoseconds, do not perform as well as ``biological'' neural systems
that have electrochemical devices responding in milliseconds.

These problem solving areas share important attributes in that they
may be performed on noisy and distorted data. Vision, speech
recognition and combinatorial optimisation are examples of such
problems.

VLSI implementations of NN systems have begun to appear as a natural
solution to building large and fast computational systems.  AT&T Bell
Labs and California Institute of Technology (Caltech) are two of the
leading research institutions where VLSI NN systems have been
developed recently.  Successful development of VLSI NNs requires a
robust design methodology.

Objectives of the Workshop
--------------------------
The workshop is organised by the Systems Engineering and Design
Automation Laboratory (SEDAL), Sydney University Electrical
Engineering (SUEE) and is sponsored by the Electrical Engineering
Foundation.  The workshop will present to academics, researchers and
engineers state-of-the-art methodologies for the implementation of
VLSI NN systems. It will also cover 6 important lectures of the
program.

Dr. Larry Jackel
----------------
Head Device Structures Research Department, AT\&T Bells Labs.

Dr. Larry Jackel is a world expert on VLSI implementation of
artificial NNs. He is leader of a group working on the implementation
of VLSI chips with several hundreds of neurons for image
classification, pattern recognition and associative memories. Dr
Jackel has over 80 technical publications in professional journals and
seven US patents.  He is recipient of the 1985 IEEE Electron Device
Society Paul Rappaport Award for best paper. Dr. Jackel is author
and/or co-author of several invited papers on NN design, in
particular, recently in the special issue on NNs of the IEEE Computer
magazine (March 88).

Ms. Mary Ann Maher
------------------
Member of the technical staff, Computer Science Department, Caltech.

Ms Mary Ann Maher is member of the research group headed by professor
Carversimulation of VLSI implementations of NNs. She has participated
as an invited speaker at several conferences and workshops on VLSI
implementation of NNs including the IEEE International Symposium on
Circuits and Systems, 1988 at Helsinki.

Invited Speakers
----------------
The seminar will also feature speakers from several Australian
research institutions with a diverse background who will give the
participants a broad overview of the subject.

Prof. Max Benne Wales

Prof. Rigby will present an introduction to important MOS building
blocks used in	the VLSI implementation of NNs.

Other lectures and tutorials will be presented by the following
speakers from Sydney University Electrical Engineering:

Peter Henderson, SEDAL

Marwan Jabri, SEDAL

Dr. Peter Nickolls, Laboratory for Imaging Science and Engineering

Clive Summerfield, Speech Technology Research


Venue
-----
The course will be held in Lecture Theatre 450,
Sydney University Electrical Engineering on November 5 and 6, 1988.

Registration
------------
The workshop registration cost is $400 for a private institution
For more information please contact:

Marwan Jabri,
SEDAL, Sydney University Electrical Engineering,
NSW 2006

or by:

Tel: 02 692 2240 Fax: 02 692 2012
ACSnet marwan@extro.ucc.su.oz