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Neuron Digest   Sunday, 19 Jan 1997                Volume 97 : Issue 3

Today's Topics:
                  New silicon audition papers online ...
                             IEEE TNN on web
                Research Position in Statistical Learning
    Recruitment for fellows in neural networks/rehabilitation research
             Faculty Position in Cognition, Brown University
       workshop on analysis of Web/Internet data, April 10-12 1997
                          grad program, UC Davis
          submission deadlines for Cognitive Science Conference
                        ICONIP'97 call for papers


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----------------------------------------------------------------------

Subject: New silicon audition papers online ...
From:    John Lazzaro <lazzaro@CS.Berkeley.EDU>
Date:    Mon, 13 Jan 1997 16:13:02 -0800



        Two new papers on silicon audition available online ... 

                                                        --john lazzaro



                         (presented at NIPS*96)

                        A Micropower Analog VLSI
                   HMM State Decoder for Wordspotting

                     John Lazzaro and John Wawrzynek
                        CS Division, UC Berkeley

                            Richard Lippmann
                         MIT Lincoln Laboratory


                               ABSTRACT

We describe the implementation of a hidden Markov model state decoding
system, a component for a wordspotting speech recognition system.  The
key specification for this state decoder design is microwatt power
dissipation; this requirement led to a continuous-time, analog circuit
implementation. We describe the tradeoffs inherent in the choice of an
analog design and explain the mapping of the discrete-time state
decoding algorithm into the continuous domain. We characterize the
operation of a 10-word (81 state) state decoder test chip.


Available on the Web at:

http://http.cs.berkeley.edu/~lazzaro/biblio/decoder.ps.gz





                   (forthcoming UCB Technical Report)

                Anawake: Signal-Based Power Management
                For Digital Signal Processing Systems

                     John Lazzaro and John Wawrzynek
                        CS Division, UC Berkeley

                            Richard Lippmann
                         MIT Lincoln Laboratory


                               ABSTRACT

Single-chip, low-power, programmable digital signal processing systems
are capable of hosting complete speech processing applications, while
consuming a few milliwatts of average power. We present a power
management architecture that decreases the average power consumption
of these systems to 3--10 microwatts, in applications where speech
signals are present with a sufficiently low duty cycle. In this
architecture, a micropower analog signal processing system, {\it
Anawake,} continuously analyzes the incoming signal, and controls the
power consumption of the DSP system in a signal-dependent way. We
estimate system power consumption for Anawake designs optimized for
different peak-speech-signal to average-background-noise ratios.


Available on the Web at:

http://http.cs.berkeley.edu/~lazzaro/biblio/anawake.ps.gz





------------------------------

Subject: IEEE TNN on web
From:    Robert Marks <marks@u.washington.edu>
Date:    Tue, 14 Jan 1997 16:05:52 -0800



The IEEE Transactions on Neural Networks is now on line.  It is currently free
to IEEE members.  The web address is:

http://www.opera.ieee.org/jolly/

Have your IEEE number handy.

IEEE membership information is available on the NNC home page.

http://engine.ieee.org/nnc/

        Robert J. Marks II, Editor-in-Chief
        IEEE Transactions on Neural Networks
        r.marks@ieee.org        


------------------------------

Subject: Research Position in Statistical Learning
From:    John Moody <moody@chianti.cse.ogi.edu>
Date:    Tue, 14 Jan 1997 22:54:15 -0800



                       Research Position
                              in
                   Nonparametric Statistics,
             Neural Networks and Machine Learning
                              at
          Department of Computer Science & Engineering
        Oregon Graduate Institute of Science & Technology


I am seeking a highly qualified researcher to take a leading role on a
project involving the development and testing of new model selection
and input variable subset selection algorithms for classification,
regression, and time series prediction applications.

Candidates should have a PhD in Statistics, EE, CS, or a related
field, have experience in neural network modeling, nonparametric
statistics or machine learning, have strong C programming skills,
and preferably have experience with S-Plus and Matlab.  The
compensation and level of appointment (Postdoctoral Research
Associate or Senior Research Associate) will depend upon experience.
The initial appointment will be for one year, but may be extended
depending upon the availability of funding.  Candidates who can
start by April 1, 1997 or before will be given preference, although
an extremely qualified candidate who is available by June 1 may
also be considered.

If you are interested in applying for this position, please mail,
fax, or email your CV (ascii text or postscript only), a letter of
application, and a list of at least three references (names,
addresses, emails, phone numbers) to:

Ms. Sheri Dhuyvetter
Computer Science & Engineering          
Oregon Graduate Institute       
PO Box 91000                    
Portland, OR 97291-1000        

Phone: (503) 690-1476
FAX: (503) 690-1548
Email: sherid@cse.ogi.edu
 
Please do not send applications to me directly.  I will consider
all applications received by Sheri on or before January 31.

OGI (Oregon Graduate Institute of Science and Technology) has over
a dozen faculty, senior research staff, and postdocs doing research
in Neural Networks, Machine Learning, Signal Processing, Time Series,
Control, Speech, Language, Vision, and Computational Finance.
Short descriptions of our research interests are appended below.
Additional information is available on the Web at 
http://www.cse.ogi.edu/Neural/ and http://www.cse.ogi.edu/CompFin/ .

OGI is a young, but rapidly growing, private research institute
located in the Silicon Forest area west of downtown Portland,
Oregon.  OGI offers Masters and PhD programs in Computer Science
and Engineering, Electrical Engineering, Applied Physics, Materials
Science and Engineering, Environmental Science and Engineering,
Chemistry, Biochemistry, Molecular Biology, Management, and
Computational Finance.

The Portland area has a high concentration of high tech companies
that includes major firms like Intel, Hewlett Packard, Tektronix,
Sequent Computer, Mentor Graphics, Wacker Siltronics, and numerous
smaller companies like Planar Systems, FLIR Systems, Flight Dynamics,
and Adaptive Solutions (an OGI spin-off that manufactures high
performance parallel computers for neural network and signal
processing applications).


        +++++++++++++++++++++++++++++++++++++++++++++++++++++++

           Oregon Graduate Institute of Science & Technology
             Department of Computer Science & Engineering
                 Department of Electrical Engineering

      Research Interests of Faculty, Research Staff, and Postdocs in

   Neural Networks, Machine Learning, Signal Processing, Control, Speech, 
         Language, Vision, Time Series, and Computational Finance

Etienne Barnard (Associate Professor, EE):

Etienne Barnard is interested in the theory, design and implementation
of pattern-recognition systems, classifiers, and neural networks.
He is also interested in adaptive control systems -- specifically,
the design of near-optimal controllers for real- world problems
such as robotics.


Ron Cole (Professor, CSE):

Ron Cole is director of the Center for Spoken Language Understanding
at OGI. Research in the Center currently focuses on speaker-
independent recognition of continuous speech over the telephone
and automatic language identification for English and ten other
languages. The approach combines knowledge of hearing, speech
perception, acoustic phonetics, prosody and linguistics with neural
networks to produce systems that work in the real world.


Mark Fanty (Research Assistant Professor, CSE):

Mark Fanty's research interests include continuous speech recognition
for the telephone; natural language and dialog for spoken language
systems; neural networks for speech recognition; and voice control
of computers.


Dan Hammerstrom (Associate Professor, CSE):

Based on research performed at the Institute, Dan Hammerstrom and
several of his students have spun out a company, Adaptive Solutions
Inc., which is creating massively parallel computer hardware for
the acceleration of neural network and pattern recognition
applications.  There are close ties between OGI and Adaptive
Solutions.  Dan is still on the faculty of the Oregon Graduate
Institute and continues to study next generation VLSI neurocomputer
architectures.


Hynek Hermansky (Associate Professor, EE);

Hynek Hermansky is interested in speech processing by humans and
machines with engineering applications in speech and speaker
recognition, speech coding, enhancement, and synthesis. His main
research interest is in practical engineering models of human
information processing.


Todd K. Leen (Associate Professor, CSE):

Todd Leen's research spans theory of neural network models,
architecture and algorithm design and applications to speech
recognition. His theoretical work is currently focused on the
foundations of stochastic learning, while his work on Algorithm
design is focused on fast algorithms for non-linear data modeling.


John Moody (Associate Professor, CSE):

John Moody does research on the design and analysis of learning
algorithms, statistical learning theory (including generalization
and model selection), optimization methods (both deterministic and
stochastic), and applications to signal processing, time series,
economics, and computational finance.


David Novick (Associate Professor, CSE):

David Novick conducts research in interactive systems, including
computational models of conversation, technologically mediated
communication, and human-computer interaction. A central theme of
this research is the role of meta-acts in the control of interaction.
Current projects include dialogue models for telephone-based
information systems.


Misha Pavel (Associate Professor, EE):

Misha Pavel does mathematical and neural modeling of adaptive
behaviors including visual processing, pattern recognition, visually
guided motor control, categorization, and decision making.  He is
also interested in the application of these  models to sensor
fusion, visually guided vehicular control, and human-computer
interfaces.


Hong Pi (Senior Research Associate, CSE)

Hong Pi's research interests include neural network models, time series
analysis, and dynamical systems theory.   He currently works on the
applications of nonlinear modeling and analysis techniques to time
series prediction problems and financial market analysis.


Pieter Vermeulen (Senior Research Associate, CSE):

Pieter Vermeulen is interested in the theory, design and implementation
of pattern-recognition systems, neural networks and telephone based
speech systems.  He currently works on the realization of speaker
independent, small vocabulary interfaces to the public telephone
network. Current projects include voice dialing, a system to collect
the year 2000 census information and the rapid prototyping of such
systems.


Eric A. Wan  (Assistant Professor, EE):

Eric Wan's research interests include learning algorithms and
architectures for neural networks and adaptive signal processing.
He is particularly interested in neural applications to time series
prediction, adaptive control, active noise cancellation, and
telecommunications.


Lizhong Wu (Senior Research Associate, CSE):

Lizhong Wu's research interests include neural network theory and
modeling, time series analysis and prediction, pattern classification
and recognition, signal processing, vector quantization, source
coding and data compression.  He is now working on the application
of neural networks and nonparametric statistical paradigms to
finance.

------------------------------

Subject: Recruitment for fellows in neural networks/rehabilitation research
From:    mary segal <mesegal@aehn2.einstein.edu>
Date:    Thu, 16 Jan 1997 09:24:36 +0000

FELLOWSHIPS AVAILABLE IN NEURAL NETWORKS RELATED TO COGNITIVE 
NEUROSCIENCE AND REHABILITATION RESEARCH 
 
The Moss Rehabilitation Research Institute (MRRI) is accepting applications
for two-year research fellowships.  MRRI provides an opportunity for mutual
collaboration with senior investigators in the field; educational
conferences, lab meetings, and weekly patient rounds; and access to a
variety of patient populations. Requirements include a PhD in a relevant
area of cognitive neuroscience or rehabilitation, training in research
design, and applied experience in data collection and analysis. Projects
are funded through Federal agencies, such as the National Institutes of
Health, as well as private foundations.  Individuals with the following
interests are invited to apply for the 1997-1998 fellowships: Applications
of neural networks to both theoretical and applied problems in
rehabilitation research, including 1) cognitive processing and/or acquired
language disorders, e.g. in stroke patients; 2) relationship between areas
of muscle weakness and compensatory musculoskeletal overuse symptoms in
polio and other neurologic diseases; and/or 3) prediction of functional
outcomes in rehabilitation patients.
 
Mentors include Drs. John Whyte, MRRI director; Myrna Schwartz, MRRI
associate director; Laurel Buxbaum; Branch Coslett; Mary Klein; Susan Kohn;
and Mary Segal.
 
MRRI is affiliated with a number of area academic institutions and has
close ties with departments of physical medicine and rehabilitation,
psychology, cognitive neuroscience, neurology, and bioengineering at
various institutions including the University of Pennsylvania, Temple
University, Lehigh University, and Drexel University.
 
MRRI is an equal opportunity employer.  For more information contact Mary
Segal, Moss Rehabilitation Research Institute, MossRehab Hospital, 213
Korman Building, 1200 West Tabor Road, Philadelphia, PA 19141; telephone
(215) 456-9901 ext. 9181; FAX (215) 456-9514; e-mail
mesegal@aehn2.einstein.edu.



------------------------------

Subject: Faculty Position in Cognition, Brown University
From:    anderson@magnum.cog.brown.edu
Date:    Fri, 17 Jan 1997 09:30:58 -0500


FACULTY POSITION IN COGNITION, BROWN UNIVERSITY.  The Department of
Cognitive and Linguistic Sciences at Brown University invites applications
for a four-year faculty position in Human Cognition, to begin July 1, 1997
(initial three year appointment with one year renewal, non-tenure-track).
The position would be suited to either a senior visitor who would receive
half-time salary support and teach two courses per year, or a more junior
applicant who would receive full salary support and teach three courses per
year.  Candidates should have core teaching and research interests in an
area of human cognition such as perception, attention, memory,
categorization, problem solving, reasoning, or decision making, as well as
an interest in interacting with members of an interdisciplinary department.
Familiarity with computational modeling is desirable.  All applicants must
have received the Ph.D. degree or equivalent by the beginning of the
appointment.

The initial deadline for applications is March 1, 1997, but applications
will be accepted after that time until the position is filled.  Please send
CV, recent publications, and a cover letter describing teaching and
research interests to the address below.  Senior applicants should enclose
the names of three referees;  junior applicants should have three letters
of reference sent to:   Cognitive Search Committee, Department of Cognitive
and Linguistic Sciences, Box 1978, Brown University, Providence, RI 02912.

Brown is an Equal Opportunity/Affirmative Action employer.  Women and
minorities are especially encouraged to apply.

------------------------------

Subject: workshop on analysis of Web/Internet data, April 10-12 1997
From:    Prof Fionn Murtagh <fionn@infm.ulst.ac.uk>
Date:    Fri, 17 Jan 1997 18:38:43 +0000

"The World-Wide Web as a Statistical Producer", 

A Workshop on Web/Internet Data and Its Analysis.

(An ESPRIT Dissemination and Awareness Action)

Trinity Hotel, L'Derry, Northern Ireland,  April 10-12, 1997.

What are the methodological problems posed by information production and 
dissemination using the World-Wide Web?  We can currently only begin to 
delineate some of these.  Typologies and forecasting of usage patterns, 
based on multiple modes of interaction, are required.  Confidentiality 
may be enhanced by appropriate resolution scales for observation of 
online activities.  To clearly demarcate tendencies and trends, 
multiscale analysis is necessary anyway.  Connectionist modeling appears 
to be very appropriate for understanding this area.  

A think-tank workshop on these topics will be hosted by the University of 
Ulster on 10-12 April 1997.  The programme will include presentations on: 
data analysis using transport data; the statistics of electronic commerce 
- - confidentiality and information access; connectionist network modeling 
for telecommunications; official statistics in the era of Internet-based 
information and data flows; using the Internet for environmental 
monitoring and observation; and data understanding and forecasting at 
multiple resolution scales. A proceedings volume is planned.

Registration/submission to: WWW-Stats, Ms J Farren/Prof F Murtagh, 
Faculty of Informatics, University of Ulster, Magee College, Londonderry 
BT48 7JL, Northern Ireland.  Fax +44 1504 375489, Tel +44 1504 375446, 
Email je.farren@ulst.ac.uk  

Further information is available at the Workshop's Web area at 
http://www.infm.ulst.ac.uk/research/wwwstats/


------------------------------

Subject: grad program, UC Davis
From:    "Bruno A. Olshausen" <bruno@redwood.ucdavis.edu>
Date:    Fri, 17 Jan 1997 18:05:41 -0800



                   GRADUATE PROGRAM IN NEUROSCIENCE
                   UNIVERSITY OF CALIFORNIA,  DAVIS

The Graduate Program in Neuroscience at the University of California,
Davis offers interdisciplinary training in areas from molecular to
cognitive neuroscience.  Many research opportunities exist for
students interested in computational modeling approaches to problems
in neuroscience.  The Center for Neuroscience and the Institute for
Theoretical Dynamics provide students and faculty with numerous
research facilities and an excellent environment for combining
theoretical and experimental approaches.

Relevant faculty include:

David Amaral - structure and function of hippocampus, amygdala
Ken Britten - visual cortex, neural basis of motion perception
Leo Chalupa - retina neurophysiology, development 
Barbara Chapman - development and plasticity of sensory systems
Charles Gray - cortical mechanisms  of pattern recognition, rhythmic activity
Andrew Ishida - retinal ganglion cells, synaptic integration
Joel Keizer - computational modeling, cell physiology, calcium dynamics
Leah Krubitzer - cortical organization, comparative anatomy
Ron Mangun - selective attention, cognitive neuroimaging
Bruno Olshausen - computational models of vision, efficient coding
Robert Rafal - neuropsychology of visual attention
Gregg Recanzone - cortical mechanisms of attention, sensory processing 
Lynn Robertson - spatial vision, object recognition, hemispheric differences
Karen Sigvart - neural control of locomotion
Mitch Sutter - cortical mechanisms of auditory perception, plasticity
Martin Wilson - synaptic transmission in the retina


***  Application deadline for fall admissions is February 15, 1997. ***


Application materials may be obtained from:

Ms. Dawne Shell                                 tel: (916) 752-9091 or 9092
Graduate Group Complex                          fax: (916) 752-8822
188 Briggs Hall                                 e-mail: drshell@ucdavis.edu
University of California, Davis
Davis, California 95616-8599

Specific questions regarding the program should be directed to:

Lynn Roberston, Program Chair   or      David Amaral, Chair of Admissions
(916) 757-8853                          (916) 757-8813
(510) 372-2000 X6891                    dgamaral@ucdavis.edu
marva4!lynn@ucdavis.edu

Web site:  http://neuroscience.ucdavis.edu/ngg/

------------------------------

Subject: submission deadlines for Cognitive Science Conference
From:    Pat Langley <langley@flamingo.Stanford.EDU>
Date:    Sat, 18 Jan 1997 20:53:26 -0800

The Nineteenth Annual Conference of the Cognitive Science Society,
to be held at Stanford University from August 7 to 10, 1997, solicits
papers on all topics related to the study of the mind. The various
deadlines for this year's meeting are:
 
 - Submission of full (six-page) papers         February 4, 1997
 - Submission of (one-page) poster abstracts    March 4, 1997
 - Early registration (with lower fees)         July 1, 1997
 
The deadline for submitting full papers is only two weeks away, so
if you have not started working on your paper, now is the time. For
details about submission length and format, please see the web site
 
        http://www-csli.stanford.edu/cogsci97
 
which also contains information about other aspects of the conference.
 
We are hoping that each of the fields that make up Cognitive Science
will be well represented at this year's meeting, so please consider
submitting a paper or abstract even if you have not done so before.


------------------------------

Subject: ICONIP'97 call for papers
From:    "Nikola Kasabov" <nkasabov@commerce.otago.ac.nz>
Organization: University of Otago
Date:    Mon, 20 Jan 1997 09:26:38 -1200

CALL FOR PAPERS, PRESENTATIONS, SPECIAL SESSIONS

                                  ICONIP'97
                                jointly with
                             ANZIIS'97 and ANNES'97
                     (in cooperation with IEEE NNC and INNS)

The Fourth International Conference on Neural Information Processing--
The Annual Conference of the Asian Pacific Neural Network Assembly,
jointly with The Fifth Australian and New Zealand International
Conference on Intelligent Information Processing Systems, and The
Third New Zealand International Conference on Artificial Neural
Networks and Expert Systems,

24-28 November, 1997
Dunedin/Queenstown, New Zealand


The joint conference will have three parallel streams:
    Stream1:  Neural Information Processing
    Stream2:  Computational Intelligence and Soft Computing
    Stream3:  Intelligent Information Systems and their Applications 

TOPICS OF INTEREST
Stream1: Neural Information Processing
*     Neurobiological systems
*     Cognition
*     Cognitive models of the brain
*     Dynamical modelling, chaotic processes in the brain
*     Brain computers, biological computers
*     Consciousness, awareness, attention
*     Adaptive biological systems
*     Modelling emotions
*     Perception, vision 
*     Learning languages 
*     Evolution

Stream2: Computational Intelligence and Soft Computing
*     Artificial neural networks: models, architectures, algorithms
*     Fuzzy systems 
*     Evolutionary programming and genetic algorithms
*     Artificial life 
*     Distributed AI systems, agent-based systems 
*     Soft computing--paradigms, methods, tools 
*     Approximate reasoning 
*     Probabilistic and statistical methods 
*      Software tools, hardware implementation

Stream3: Intelligent Information Systems and their Applications 
*     Connectionist-based information systems
*     Hybrid systems
*     Expert systems
*     Adaptive systems
*     Machine learning, data mining and intelligent databases
*     Pattern recognition and image processing
*     Speech recognition and language processing
*     Intelligent information retrieval systems
*     Human-computer interfaces
*     Time-series prediction
*     Control
*     Diagnosis
*     Optimisation
*     Application of intelligent information technologies in:
      manufacturing, process control, quality testing, finance,
      economics, marketing, management, banking, agriculture,
      environment protection, medicine, geographic information
      systems, government, law, education, and sport
*     Intelligent information technologies on the Internet

HONORARY CHAIR
Shun-Ichi Amari, Tokyo University

GENERAL CONFERENCE CHAIR
Nik Kasabov, University of Otago
nkasabov@otago.ac.nz

COFERENCE CO-CHAIRS
Yianni Attikiouzel, University of Western Australia
Marwan Jabri, Sydney University

PROGRAM CO-CHAIRS
Tom Gedeon, University of New South Wales
George Coghill, University of Auckland

LOCAL ORGANIZING COMMITTEE CHAIR: 
Philip Sallis, University of Otago

CONFERENCE ORGANISER
Ms Kitty Ko
Department of Information Science, University of Otago, 
PO Box 56, Dunedin, New Zealand
phone: +64 3 479 8153, fax: +64 3 479 8311,
email: kittyko@commerce.otago.ac.nz

CALL FOR PAPERS
Papers must be received by 30 May 1997. They will be reviewed
by senior researchers in the field and the authors will be informed
about the decision of the review process by 20 July 1997. The accepted
papers must be submitted in a camera-ready format by 20 August. All
accepted papers will be published by Springer-Verlag. As the
conference is a multi-disciplinary meeting the papers are required to
be comprehensible to a wider rather than to a very specialised
audience. Papers will be presented at the conference either in an oral
or in a poster session. Please submit three copies of the paper
written in English on A4-format white paper with one inch margins on
all four sides, in two column format, on not more than 4 pages,
single-spaced, in Times or similar font of 10 points, and printed on
one side of the page only. Centred at the top of the first page should
be the complete title, author(s), mailing and e-mailing addresses,
followed by an abstract and the text. In the covering letter the
stream and the topic of the paper according to the list above should
be indicated. 

SPECIAL ISSUES OF JOURNALS AND EDITED VOLUMES
Selected papers will be published in special issues of scientific
journals and in edited volumes which will include chapters covering
the conference topics written by invited conference participants.

TUTORIALS (24 November)
Conference tutorials will be organized to introduce the basics of
cognitive modelling, dynamical systems, neural networks, fuzzy
systems, evolutionary programming, machine learning, soft computing,
expert systems,hybrid systems, and adaptive systems. 

EXHIBITION
Companies and university research laboratories are encouraged to
exhibit their developed or distributing software and hardware systems.

SPECIAL EVENTS FOR PRACTITIONERS
The New Zealand Computer Society is organising special demonstrations,
lectures and materials for practitioners working in the area of
information technologies.

VENUE (Dunedin/Queenstown) 
The Conference will be held at the University of Otago, Dunedin, New
Zealand. The closing session will be held on Friday, 28 November on a
cruise on one of the most beautiful lakes in the world, Lake Wakatipu.
The cruise departs from the famous tourist centre Queenstown, about
300 km from Dunedin. Transportation will be provided and there will be
a separate discount cost for the cruise.

TRAVELLING
The Dunedin branch of House of Travel, a travelling company, is happy
to assist in any domestic and international travelling arrangements
for the Conference delegates. They can be contacted through email:
travel@es.co.nz, fax: +64 3 477 3806, phone: +64 3 477 3464, or toll
free number: 0800 735 737 (within NZ). 

POSTCONFERENCE EVENTS
Following the closing conference cruise, delegates may like to
experience the delights of Queenstown, Central Otago, and Fiordland.
Travel plans can be coordinated by the Dunedin Visitor Centre (phone:
+64 3 474 3300, fax: +64 3 474 3311).

IMPORTANT DATES
Papers due:                                                   30 May 1997
Notification of acceptance:                             20 July 1997
Final camera-ready papers due:                      20 August 1997
Registration of at least one author of a paper:  20 August 1997
Early registration:                                          20 August 1997

CONFERENCE CONTACTS, PAPER SUBMISSIONS, CONFERENCE
INFORMATION, REGISTRATION FORMS
Conference Secretariat 
Department of Information Science, University of Otago,
PO Box 56, Dunedin, New Zealand;
phone: +64 3 479 8142; fax: +64 3 479 8311;
email: iconip97@otago.ac.nz
Home page: http://divcom.otago.ac.nz:800/com/infosci/kel/conferen.htm

RELATED CONFERENCE
The World Manufacturing Congress'97 (WMC'97) will be held from
November 18-21, 1997 at Massesy University, Albany Campus,
Auckland, New Zealand.For further information please visit the
Web Site: http://www.compusmart.ab.ca/icsc/wmc97.htm 


------------------------------

End of Neuron Digest [Volume 97 Issue 3]
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