[comp.ai.neural-nets] Neuron Digest V6 #45

neuron-request@HPLMS2.HPL.HP.COM ("Neuron-Digest Moderator Peter Marvit") (07/31/90)

Neuron Digest   Monday, 30 Jul 1990
                Volume 6 : Issue 45

Today's Topics:
                                  help!
       TR announcement: 'Learning & evolution in neural networks'
    CFP -- 7th IEEE Conf. on AI Applications (Miami, USA, Feb. 1991)
ICANN-91, International Conference on Articificial Neural Networks (Call for Pa
   Call for Participation in Connectionist Natural Language Processing
     VLSI for AI and Neural Nets Workshop. Oxford, England Sept.'90
                         IJPRAI CALL FOR PAPERS


Send submissions, questions, address maintenance and requests for old issues to
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Use "ftp" to get old issues from hplpm.hpl.hp.com (15.255.176.205).

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

Subject: help!
From:    hjingyi@unccvax.uncc.edu (Hu Jingyi)
Organization: University of NC at Charlotte
Date:    07 Jul 90 21:43:26 +0000


Dear Sir/Madam :

I have a question about the Levenshtein distance. in "Self-Organization and
Associative Memory" book (page 67, 4 lines) T.Kohonen written:

weighted Levenshtein distance  WLD(A,B) = min{pa(i) + qb(i) + rc(i)}   (2.93)

where the coefficients p, q, and r may be obtained from the so-called
confusion matrix of the alphabet, as the inverse probability for particular
type of error to occur.

Could you help me to get the p, q, and r confusion matrix of the alphabet?
I want use the distance for some words matching processing application.

Thanks a lot.

Regard
Hu Jingyi

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

Subject: TR announcement: 'Learning & evolution in neural networks'
From:    Jeff Elman <elman@amos.ucsd.edu>
Date:    Fri, 20 Jul 90 16:09:46 -0700

         Learning and Evolution in Neural Networks

                             by

                       Stefano Nolfi
                      Jeffrey L. Elman
                      Domenico Parisi

                   CRL-TR-9019, July 1990
              Center for Research in Language
            University of California, San Diego
                  La Jolla, CA 92093-0126

                         ABSTRACT
In this report we present the results of a series of simula-
tions in which neural networks undergo change as a result of
two forces: learning during the "lifetime" of a network, and
evolutionary change over the course of several "generations"
of  networks.  The  results  demonstrate  how  complex   and
apparently  purposeful behavior can arise from random varia-
tion in networks. We believe that these  results  provide  a
good  starting basis for modeling the more complex phenomena
observed in biological systems. A more specific problem  for
which our results may be relevant is determining the role of
behavior in evolution (Plotkin, 1988); that is, how learning
at  the  individual level can have an influence on evolution
at the population level  within  a  strictly  Darwinian--not
Lamarckian--framework.

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

Copies of this technical report may be requested  by  email,
by  sending a letter to crl@amos.ucsd.edu and requesting TR-
9019.


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

Subject: CFP -- 7th IEEE Conf. on AI Applications (Miami, USA, Feb. 1991)
From:    finin@prc.unisys.com (Tim Finin)
Organization: Unisys Center for Advanced Information Technology
Date:    07 Jul 90 15:38:14 +0000


 The Seventh IEEE Conference on Artificial Intelligence Applications

              Fontainbleau Hotel,  Miami Beach, Florida
                        February 24 - 28, 1991

                        Call For Participation
                    (submission deadline 8/31/90)
                                   
              Sponsored by The Computer Society of IEEE

The conference is devoted to the application of artificial
intelligence techniques to real-world problems.  Two kinds of papers
are appropriate: case studies of knowledge-based applications that
solve significant problems and stimulate the development of useful
techniques and papers on AI techniques and principles that underlie
knowledge-based systems, and in turn, enable ever more ambitious
real-world applications.  This conference provides a forum for such
synergy between applications and AI techniques.

Papers describing significant unpublished results are solicited along
three tracks:

  o  "Scientific/Engineering"  Applications Track.  Contributions stemming 
     from the general area of industrial and scientific applications.
  
  o  "Business/Decision Support" Applications Track.  Contributions stemming 
     from the general area of decision support applications in business, 
     government, law, etc.
  
     Papers in these two application tracks must:  (1) Justify the use
     of the AI technique, based on the problem definition and an
     analysis of the application's requirements; (2) Explain how AI
     technology was used to solve a significant problem; (3) Describe
     the status of the implementation; (4) Evaluate both the
     effectiveness of the implementation and the technique used.

     Short papers up to 1000 words in length will also be accepted for
     presentation in these two application tracks.
  
  o "Enabling Technology" Track.  Contributions focusing on techniques
     and principles that facilitate the development of practical knowledge
     based systems that can be scaled to handle increasing problem
     complexity.  Topics include, but are not limited to: knowledge
     representation, reasoning, search, knowledge acquisition, learning,
     constraint programming, planning, validation and verification, project
     management, natural language processing, speech, intelligent
     interfaces, natural language processing, integration, problem-solving 
     architectures, programming environments and general tools.
  
Long papers in all three tracks should be limited to 5000 words and
short papers in the two applications tracks limited to 1000 words.
Papers which are significantly longer than these limits will not be
reviewed. The first page of the paper should contain the following
information (where applicable) in the order shown:

  -  Title.
  -  Authors' names and affiliation. (specify student status)
  -  Contact information (name, postal address, phone, fax and email address)
  -  Abstract:  A 200 word abstract that includes a clear statement describing
     the paper's original contributions and what new lesson is imparted.
  -  AI topic:  one or more terms describing the relevant AI areas, e.g.,
     knowledge acquisition, explanation, diagnosis, etc.
  -  Domain area:  one or more terms describing the problem domain area,
     e.g., mechanical design, factory scheduling, education, medicine, etc.
     Do NOT specify the track.
  -  Language/Tool:  Underlying programming languages, systems and tools used.
  -  Status:  development and deployment status, as appropriate.
  -  Effort: Person-years of effort put into developing the particular
     aspect of the project being described.
  -  Impact: A twenty word description of estimated or measured (specify)
     benefit of the application developed.
  
Each paper accepted for publication will be allotted seven pages in
the conference proceedings.  The best papers accepted in the two
applications tracks will be considered for a special issue of IEEE
EXPERT to appear late in 1991.  An application has been made to
reserve a special issue of IEEE Transactions on Knowledge and Data
Engineering (TDKE) for publication of the best papers in the enabling
technologies track.  IBM will sponsor an award of $1,500 for the
best student paper at the conference. 

In addition to papers, we will be accepting the following types of
submissions:

  - Proposals for Panel discussions. Provide a brief description of the
    topic (1000 words or less).  Indicate the membership of the panel and
    whether you are interested in organizing/moderating the discussion.   

  - Proposals for Demonstrations.  Submit a short proposal (under 1000
    words) describing a videotaped and/or live demonstration.  The
    demonstration should be of a particular system or technique that
    shows the reduction to practice of one of the conference topics.
    The demonstration or videotape should be not longer than 15 minutes.

  - Proposals for Tutorial Presentations. Proposals for three hour
    tutorials of both an introductory and advanced nature are
    requested.  Topics should relate to the management
    and technical development of useful AI applications.  Tutorials
    which analyze classes of applications in depth or examine
    techniques appropriate for a particular class of applications are of
    particular interest. Copies of slides are to be provided in advance to
    IEEE for reproduction.

    Each tutorial proposal should include the following:

     * Detailed topic list and extended abstract (about 3 pages)
     * Tutorial level:  introductory, intermediate, or advanced
     * Prerequisite reading for intermediate and advanced tutorials
     * Short  professional vita including presenter's experience in
       lectures and tutorials.

  - Proposals for Vendor Presentations. A separate session will be held
    where vendors will have the opportunity to give an overview to
    their AI-based software products and services.


IMPORTANT DATES

  - August 31, 1990: Six copies of Papers, and four copies of all proposals
    are due.  Submissions not received by that date will be returned
    unopened. Electronically transmitted materials will not be accepted.
  - October 26, 1990: Author notifications mailed.
  - December 7, 1990: Accepted papers due to IEEE.  Accepted tutorial
    notes due to Tutorial Chair.
  - February 24-25, 1991: Tutorial Program of Conference
  - February 26-28, 1991: Technical Program of Conference

Submit Papers and Other Materials to:

        Tim Finin
        Unisys Center for Advanced Information Technology
        70 East Swedesford Road
        PO Box 517
        Paoli PA 19301
        internet: finin@prc.unisys.com
        phone: 215-648-2840; fax: 215-648-2288

Submit Tutorial Proposals to:

        Daniel O'Leary
        Graduate School of Business
        University of Southern California
        Los Angeles, CA 90089-1421
        phone: 213-743-4092, fax: 213-747-2815

For registration and additional conference information, contact:

        CAIA-91
        The Computer Society of the IEEE
        1730 Massachusetts Avenue, NW
        Washington, DC 20036-1903
        phone: 202-371-1013

                        CONFERENCE COMMITTEES

General Chair:      Se June Hong, IBM Research
Program Chair:      Tim Finin, Unisys
Publicity Chair:    Jeff Pepper, Carnegie Group, Inc.
Tutorial Chair:     Daniel O'Leary, University of Southern California
Local Arrangements: Alex Pelin, Florida International University, and
                    Mansur Kabuka, University of Miami
Program Committee:
 AT-LARGE                               SCIENTIFIC/ENGINEERING TRACK
 Tim Finin, Unisys (chair)              Chris Tong, Rutgers (chair)
 Jan Aikins, AION Corp.                 Sanjaya Addanki, IBM Research
 Robert E. Filman, IntelliCorp          Bill Mark, Lockheed AI Center
 Ron Brachman, AT&T Bell Labs           Sanjay Mittal, Xerox PARC
 Wolfgang Wahlster, German Res. Center  Ramesh Patil, MIT
  for AI & U. of Saarlandes             David Searls, Unisys
 Mark Fox, CMU                          Duvurru Sriram, MIT

 ENABLING TECHNOLOGY TRACK              BUSINESS/DECISION SUPPORT TRACK
 Howard Shrobe, Symbolics (chair)       Peter Hart, Syntelligence (chair)
 Lee Erman, Cimflex Teknowledge         Chidanand Apte,  IBM Research
 Eric Mays,  IBM Research               Vasant Dhar,  New York University
 Norm Sondheimer, GE Research           Steve Kimbrough, U. of Pennsylvania
 Fumio Mizoguchi, Tokyo Science Univ.   Don McKay, Unisys
 Dave Waltz, Brandeis & Thinking Machines
  +----------------------------------------------------------------------+
  | Tim Finin                                   finin@prc.unisys.com     |
  | Center for Advanced Information Technology  215-648-2840, -2288(fax) |
  | Unisys, PO Box 517, Paoli, PA 19301 USA     215-386-1749 (home)      |

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

Subject: ICANN-91, International Conference on Articificial Neural Networks (Call for Papers)
From:    pako@neuronstar.it.lut.fi (Pasi Koikkalainen)
Date:    09 Jul 90 13:22:37 +0000


 

                           ICANN-91
                          ==========

      INTERNATIONAL CONFERENCE ON ARTIFICIAL NEURAL NETWORKS
      ======================================================

                Helsinki University of Technology
                Espoo, Finland, June 24-28,  1991
               ===================================

     ---------------------------------------------------------
     I   CCC      A       NN   N   NN   N           999    11
     I  C        A A      N N  N   N N  N          9   9    1
     I  C       A   A     N  N N   N  N N   ===     9999    1  
     I  C      AAAAAAA    N   NN   N   NN              9    1
     I   CCC  A       A   N    N   N    N             99    1
    ----------------------------------------------------------
                                                    

Conference Chair:                 Conference Committee:
 Teuvo Kohonen   (Finland)          Bernard Angeniol   (France)
                                    Eduardo Caianiello (Italy)
Program Chair:                      Rolf Eckmiller     (FRG)
 Igor Aleksander (England)          John Hertz         (Denmark)
                                    Luc Steels         (Belgium)
 
                     CALL FOR PAPERS
                   ===================


THE CONFERENCE:
===============
Theories, implementations, and  applications  of Artificial Neural Networks
are  progressing  at  a  growing  speed  both  in  Europe   and  elsewhere. 
The first commercial hardware for neural circuits and systems are emerging.
This  conference  will be  a major  international contact forum for experts
from academia and industry worldwide. Around 1000 participants are expected.

ACTIVITIES:
===========
 - Tutorials
 - Invited talks
 - Oral and poster sessions
 - Prototype demonstrations
 - Video presentations
 - Industrial exhibition

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

 Complete papers of at most 6 pages are invited for oral or poster
 presentation in one of the sessions given below: 

 1.  Mathematical theories of networks and dynamical systems
 2.  Neural network architectures and algorithms 
      (including organizations and comparative studies) 
 3.  Artificial associative memories
 4.  Pattern recognition and signal processing (especially vision and speech)
 5.  Self-organization and vector quantization
 6.  Robotics and control
 7.  "Neural" knowledge data bases and non-rule-based decision making
 8.  Software development
      (design tools, parallel algorithms, and software packages)
 9.  Hardware implementations (coprocessors, VLSI, optical, and molecular)
 10. Commercial and industrial applications
 11. Biological and physiological connection 
      (synaptic and cell functions, sensory and motor functions, and memory)
 12. Neural models for cognitive science and high-level brain functions
 13. Physics connection (thermodynamical models, spin glasses, and chaos)

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

Deadline for submitting manuscripts is January 15, 1991.  The Conference
Proceedings will be published as a book by Elsevier Scien ce Publishers
B.V.  Deadline for sending final papers on the special forms is March 15,
1991.  For more information and instructions for submitting manuscripts,
please contact:

Prof. Olli Simula
ICANN-91 Organization Chairman
Helsinki University of Technology
SF-02150 Espoo, Finland
Fax: +358 0 451 3277
Telex: 125161 HTKK SF
Email (internet): icann91@hutmc.hut.fi

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

In addition to the scientific program,  several social  occasions will be 
included in  the  registration fee.  Pre- and post-conference  tours  and 
excursions will also be arranged. For more information about registration 
and accommodation, please contact:

Congress Management Systems
P.O.Box 151
SF-00141 Helsinki, Finland
Tel.: +358 0 175 355
Fax: +358 0 170 122
Telex: 123585 CMS SF


============================================================================
E-mail:   (internet): icann91@hutmc.hut.fi
============================================================================

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

Subject: Call for Participation in Connectionist Natural Language Processing
From:    cpd@aic.hrl.hac.com
Date:    Tue, 10 Jul 90 10:52:42 -0700


                        AAAI Spring Symposium
            Connectionist Natural Language Processing

Recent results have lead some researchers to propose that connectionism
is an alternative to AI/Linguistic approaches to natural language
processing, both as a cognitive model and for practical applications.
This symposium will bring together both critics and proponents of
connectionist NLP to discuss its strengths and weaknesses.

This symposium will cover a number of areas, spanning from new phonology
models to connectionist treatments of anaphora and discourse issues.
Participants should address what is new that connectionism brings to the
study of language. The purpose of the symposium is to examine this issue
from a range of perspectives including:

        Spoken language understanding/generation
        Parsing
        Semantics
        Pragmatics
        Language acquisition
        Linguistic and representational capacity issues
        Applications

Some of the questions expecting to be addressed include:

        What mechanisms/representations from AI/Linguistics
        are necessary for connectionist NLP?  Why?

        Can connectionism help integrate signal processing 
        with knowledge of language?

        What does connectionism add to other theories
        of semantics?

        Do connectionist theories have implications for 
        psycholinguistics?

Prospective participants are encouraged to contact a member of the
program committee to obtain a more detailed description of the
symposium's goals and issues.  Those interested in participating in this
symposium are asked to submit a 1-2 page position paper abstract and a
list of relevant publications.  Abstracts of work in progress are
encouraged, and potential participants may also include 3 copies of a
full length paper describing previous work. Submitted papers or abstracts
will be included in the symposium working notes, and participants will be
asked to participate in panel discussions.

Three (3) copies of each submission should be sent to arrive by November 
16, 1990 to:

Charles Dolan, Hughes Research Laboratories, RL96, 3011 Malibu Canyon 
Road, Malibu CA, 90265

All submissions will be promptly acknowledged.

E-Mail inquiries may be sent to:
cpd@aic.hrl.hac.com

Program Committee: Robert Allen, Charles Dolan (chair),
James McClelland, Peter Norvig, and Jordan Pollack.

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

Subject: VLSI for AI and Neural Nets Workshop. Oxford, England Sept.'90
From:    delgado@bingvaxu.cc.binghamton.edu (Jose Delgado)
Organization: SUNY Binghamton, NY
Date:    13 Jul 90 20:13:14 +0000


                    International Workshop on
      VLSI FOR ARTIFICIAL INTELLIGENCE AND NEURAL NETWORKS
         University of Oxford   --  September 5-7, 1990
___________________________________________________________________


Research on architectures dedicated to artificial intelligence (AI)
processing  has been increasing in recent years, since conventional
data or numerically oriented architectures  are not able to provide
the  computational power  and/or functionality  required.   For the
time  being  these  architectures  have  to  be implemented in VLSI
technology  with  its  inherent constraints on speed, connectivity,
fabrication  yield  and  power.    This  in  turn  impacts  on  the
effectiveness of the computer architecture.
 
The aim of this second workshop on  VLSI for AI and Neural Networks
is again to provide a forum where  AI  experts,  VLSI  and Computer
Architecture  designers  can  come together  to discuss the present
status  and  future  trends on  VLSI  and  ULSI  implementations of
machines  for  AI  computing.   This  workshop  will  be held in an
informal  environment  with  poster  and regular session along with
time for impromptu discussions. 
 
To encourage interaction, the workshop will be limited to a maximum
of 70 participants.  The workshop sessions, meals and accommodation
will  all  be provided in the unique  atmosphere  of  Jesus College
between  the evening of  the 4th September and lunchtime on the 7th
September 1990.  The college was founded in 1571 by Queen Elizabeth
I; meals will be taken in  the traditional medieval hall, a perfect
setting for the Conference Dinner on the Thursday evening.  
 

SPONSORS

The  Workshop  is  organised  by the University of Oxford Department
for  External   Studies   in  conjunction  with  the  Department  of
Engineering Science and the  Department of Electrical Engineering at
SUNY-Binghamton.   The  workshop  is  sponsored by the University of 
Oxford in association with SUNY Binghamton, ACM-SIGARCH and the IEE.
 

PROGRAMME COMMITTEE
 
Igor Aleksander,  Imperial College London (UK)
Howard Card,  University of Manitoba (Canada)
Jose Delgado-Frias,  SUNY-Binghamton (USA)
Richard Frost,  University of Windsor (Canada)
Peter Kogge,  IBM (USA)
Will Moore,  Oxford University (UK)
Alan Murray,  University of Edinburgh (UK)
John Oldfield,  Syracuse University (USA)
Lionel Tarassenko,  Oxford University (UK)
Philip Treleaven,  University College London (UK)
Benjamin Wah,  University of Illinois (USA)
Michel Weinfield,  Ecole Polytechnique (France)
 
 
ENQUIRES

Registration:
     Ms. Anna Morris (VLSI for AI & NN)
     CPD Unit, Department for External Studies, 
     University of Oxford,
     Rewley House, 1 Wellington Square,
     OXFORD OX1 2JA, England.
     Tel.:  +44 865 270360       Fax: +44 865 270708

 
Technical queries to:
     Dr. Jose G. Delgado-Frias
     Dept. of Electrical Engineering
     State University of New York at Binghamton
     Binghamton, NY 13901  USA
     Tel.: (607)777 4806 or 4856
     Email: delgado@bingvaxu.cc.binghamton.edu
         (or)  delgado@bingvaxa.bitnet
 
or   Dr. Will Moore,
     Department of Engineering Science,
     University of Oxford,
     Parks Road, OXFORD, OX1 3PJ, England.
     Tel.:  +44 865 273187 (or 273000)
     Telex: 83295G      Fax: +44 865 273010
     Email:  moore@vax.ox.ac.uk (not available via uupc).
 
 

BACKGROUND

The workshop, organised by the University of Oxford Department for
External Studies in conjunction with the Department of Engineering
Science, is the seventh in an occasional series on topics in VLSI
and follows the successful workshop on VLSI for Artificial
Intelligence at Oxford in 1988.




                *   P  R  O  G  R  A  M  M  E   *



Wednesday September 5th, 1990

8.30-9.00am    Registration

9.00-10.45am   INTRODUCTION
               Will Moore, University of Oxford

               Session A: PULSE STREAM AND BIOLOGICALLY-BASED NEURAL NETS
               Chairman: Howard Card, University of Manitoba

               A1   "Computational Capabilities of Biologically-realistic 
                    Analog Processing Elements"
                    C. Fields, M. DeYong, and R. Findley
                    New Mexico State University, USA

               A2   "Results from Pulse-stream VLSI Neural Network Devices"
                    Michael J. Brownlow, Lionel Tarassenko, Alan F. Murray 
                    Oxford University / Edinburgh University, UK


               A3   "Working Analogue Pulse Stream Neural Network Chips"
                    Alister Hamilton, Alan F. Murray, H. Martin Reekie and 
                    Lionel Tarassenko
                    Edinburgh University / Oxford University, UK


10.45-11.15am  Coffee

11.15-12.45pm  Session B: DIGITAL IMPLEMENTATIONS OF NEURAL NETWORKS
               Chairman: Michel Weinfield, Ecole Politechnique


               B1   "The VLSI Implementation of the 'sigma' Architecture"
                    S. R. Williams and J. G. Cleary 
                    University of Calgary, Canada

               B2   "A Cascadable VLSI Architecture for the Realization
                    of Large Binary Associative Networks"
                    Werner Poechmuller and Manfred Glesner
                    Technische Hochschule Darmstadt, Germany

               B3   "Digital VLSI Implementations of an Associative 
                    Memory Based on Neural Networks"
                    Ulrich Ruckert, Christian Kleerbaum and Karl Goser
                    University of Dortmund, Germany


12.50-2.00pm   Lunch


2.15-4.00pm    Session C: HARDWARE SUPPORT FOR AI
               Chairman: Jose Delgado-Frias, SUNY-Binghamton


               C1   "Incremental Garbage Collection Scheme in KL1
                    and its Architectural Support of PIM"
                    Yasunori Kimura, Takashi Chikayama, Tsuyoshi
                    Shinogi, and Atsuhiro Goto 
                    Fujitsu Laboratories/ICOT, Japan

               C2   "COLIBRI: A Coprocessor for Lisp based on RISC"
                    H Hafer, J Plankl, F J Schmitt
                    Siemens AG, Germany

               C3   "A CAM Based Architecture for Production System Matching"
                    Pratibha and P. Dasiewicz
                    University of Waterloo, Canada

               C4   "SIMD Parallelism for Symbolic Mapping"
                    C.J. Wang and S.H. Lavington
                    University of Essex, UK


4.00-4.30pm    Tea


4.30-6.00pm    Session D: PARALLEL MACHINES FOR PROLOG
               Chairman: Peter Kogge, IBM

               D1   "SYMBOL: A Parallel Incremental Architecture
                    for Prolog Program Execution"
                    A. De Gloria, P. Faraboschi, E. Guidetti
                    University of Genoa, Italy

               D2   "Architectural Considerations for Achieving
                    High Performance Prolog Execution"
                    Mark A. Friedman and Gurindar Sohi
                    University of Wisconsin, USA

               D3   "A Prolog Abstract Machine for Content-Addressable Memory"
                    Hamid Bacha
                    Coherent Research, Inc., USA




Thursday September 6th, 1990


9.00-10.45am   Session E: ARCHITECTURES FOR ARTIFICIAL INTELLIGENCE
               Chairman: Will Moore, Oxford University

               E1   "VLSI Design of a 3-D Highly Parallel Message-Passing 
                    Architecture"
                    J-L Bechennec, C. Chanussot, V. Neri, and D. Etiemble
                    Universite de Paris-Sud, France

               E2   "Embedded Processor for Realtime AI and NN Applications"
                    Robert T. Wang, John M. Walsh, and Ron Everett
                    Integrated Inference Machines, USA

               E3   "Architectural Design of the Rewrite Rule
                    Machine Ensemble"
                    Hitoshi Aida, Sany Leinwand and Jose Mesaguer
                    SRI International, USA

               E4   "A Dataflow Architecture for AI"
                    Jose G. Delgado-Frias, Ardsher Ahmed, and Robert Payne 
                    SUNY-Binghamton, USA


10.45-11.15am  Coffee

11.15-12.45pm  Session F: ANALOGUE IMPLEMENTATIONS OF NEURAL NETWORKS
               Chairman: Lionel Tarassenko, Oxford University

               F1   "Analog VLSI Models of Mean Field Networks"
                    Christian Schneider and Howard Card
                    University of Manitoba, Canada

               F2   "An Analogue Neuron Suitable for a Data Frame Architecture" 
                    W A J Waller, D L Bisset and P M Daniell
                    University of Kent, UK

               F3   "A Class of Optimal-Analog Parallel Computer
                    Architectures for AI"
                    Jonathan W. Mills
                    Indiana University, USA

               F4   "Fully Cascadable Analogue Synapses Using
                    Distributed Feedback" 
                    Donald J. Baxter, Alan F. Murray, and Martin Reekie
                    University of Edinburgh, UK


12.50-2.00pm   Lunch

2.15-4.00pm    Session G: POSTER SESSION

4.00-4.30pm    Tea

4.30-6.00pm    Session H: IMPLEMENTATION AND APPLICATIONS OF NEURAL NETWORKS 
               Chairman: Dan Hammerstrom, Adaptive Solutions, Inc.

               H1   "Efficient Implementation of Massive Neural Networks"
                    James Austin, Tom Jackson and Alan Wood
                    University of York, UK

               H2   "A Fully Digital Neural Network Chip Using
                    Probability Coding" 
                    John Shawe-Taylor, Pete Jeavons, and Max Van Daalen
                    University of London, UK

               H3   "Parallel Analogue Computation for Real-time Path Planning" 
                    Lionel Tarassenko and Gillian Marshall
                    Oxford University, UK

7.00pm         Reception and Conference Dinner



Friday September 7th, 1990


9.00-10.45am   Session I: ARRAYS FOR NEURAL NETWORKS
               Chairman: Alan Murray, University of Edinburgh

               I1   "A Highly Parallel Digital Architecture for
                    Neural Network Emulation"
                    Dan Hammerstrom
                    Adaptive Solutions, Inc., USA

               I2   "Systolic Method for Modelling Spatio-Temporal
                    Properties of Neurons using Domain Decomposition"
                    Arno J Klassen and Rob Wiers
                    Delft University of Technology, The
                    Netherlands

               I3   "A Delay-Insensitive Neural Network Engine"
                    C D Nielsen, J Staunstrup and S R Jones
                    Technical University of Denmark, Denmark

               I4   "A VLSI Implementation of Multi-layered Neural
                    Networks: 2-Performances"
                    Bernard Faure and Guy Mazare
                    IMAG, France



10.45-11.15am  Coffee

11.15-12.45pm  Session J: UNI-PROCESSOR MACHINES FOR PROLOG
               Chairman: Simon Lavington, University of Essex

               J1   "An Extended Prolog Instruction Set for RISC Processors"
                    Andreas Krall
                    University of Vienna, Austria

               J2   "A VLSI Engine for Structured Logic Programming"
                    P L Civera, E Lamma, P Mello, A Natali, G L
                    Piccinini, and M Zamboni
                    Politecnico di Torino, Italy

               J3   "Performance Evaluation of a VLSI Associative
                    Unifier in a WAM Based Environment"
                    P L Civera, G Masera, G L Piccinini, M Ruo
                    Roch and M Zamboni 
                    Politecnico di Torino, Italy






     -- P O S T E R S --

G1  "Binary Neural Network with Delayed Synapses"
    Tadashi Ae, Yasuhiro Mitsui, and Reiji Aibara   
    Hiroshima University, Japan


G2  "Implementing Neural Networks with the Associative String Processor"
    A. Krikelis and M. Groezinger           
    Aspex Microsystems Ltd., UK
 
G3  "Syntactic Neural Networks in VLSI"
    Simon Lucas and Bob Damper              
    University of Southampton, UK

G4  "Massively Parallel Neural Network Architecture for the Solution of
    Linear Equations Based on the Hopfield Network"
    J. R. Minick and M. A. Styblinski            
    Texas A&M University, USA

G5  "A New Architectural Approach for Flexible Digital Neural Network
    Chip Systems"
    Torben Markussen                        
    Technical University of Denmark, Denmark
 
G6  "Systolic Architecture for a Subquadratic Converging Neural Network
    Learning Algorithm"
    Philippe De Wilde                       
    Imperial College of Science and Technology, UK
   
G7  "A VLSI Implementation of a Generic Systolic Synaptic Building
    Block for Neural Networks"
    Christian Lehmann and Francois Blayo         
    Ecole Polytechnique Federale de Lausanne, Switzerland
   
G8  "A Learning Circuit that Operates by Discrete Means"
    W P Cockshott and G Milne                    
    University of Strathclyde, UK
    
G9  "A Compact and Fast Silicon Implementation for Layered Neural Networks"
    F. Distante, M. G. Sami, R. Stefanelli, G. Storti-Gajani
    Polytechnic of Milan, Italy
    
G10 "Pulse-Firing VLSI Neural Circuits for Fast Image Recognition"
    S. Churcher, A. F. Murray and H. M. Reekie   
    University of Edinburgh, UK
   
G11 "The ULM - A RISC for Lisp"
    Reinhard Rasche                         
    Technical University of Berlin, Germany
   
G12 "Logic Flow in Active Data"
    Peter Sapaty
    Ukranian Academic of Sciences, USSR
   
G13 "A Multi-Transputer Architecture for a Parallel Logic Machine"
    M. Cannataro, G. Spezzano and D. Talia
    CRAI, Italy

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

Subject: IJPRAI CALL FOR PAPERS
From:    "Dr. Josef Skrzypek" <skrzypek@CS.UCLA.EDU>
Date:    Sun, 22 Jul 90 15:22:43 -0700



            IJPRAI       CALL FOR PAPERS         IJPRAI

We are  organizing a  special  issue of  IJPRAI (Intl.   Journal of
Pattern Recognition  and Artificial Intelligence)  dedicated to the
subject   of neural networks in  vision   and pattern  recognition.
Papers  will be  refereed.  The  plan  calls for  the  issue  to be
published  in the fall of   1991.   I  would  like  to invite  your
participation.


   DEADLINE FOR SUBMISSION: 10th of December, 1990

   VOLUME TITLE: Neural Networks in Vision and Pattern Recognition

   VOLUME GUEST EDITORS: Prof. Josef Skrzypek and Prof. Walter Karplus
   Department of Computer Science, 3532 BH
   UCLA
   Los Angeles CA 90024-1596
   Email: skrzypek@cs.ucla.edu or karplus@cs.ucla.edu
   Tel: (213) 825 2381
   Fax: (213) UCLA CSD


                      DESCRIPTION


The capabilities    of   neural    architectures   (supervised  and
unsupervised learning,   feature  detection and   analysis  through
approximate pattern matching, categorization and self-organization,
adaptation, soft constraints,  and signal based processing) suggest
new approaches to solving problems in vision, image  processing and
pattern recognition as applied to  visual stimuli.  The purpose  of
this special issue  is to encourage further  work and discussion in
this area.

The  volume will  include both invited  and submitted peer-reviewed
articles.  We are seeking submissions  from researchers in relevant
fields,   including,  natural  and  artificial vision,   scientific
computing,  artificial  intelligence, psychology, image  processing
and pattern recognition.  "We  encourage submission of: 1) detailed
presentations of  models   or  supporting  mechanisms,   2)  formal
theoretical analyses, 3)  empirical and methodological studies.  4)
critical  reviews   of neural  networks   applicability to  various
subfields of vision, image processing and pattern recognition.

Submitted    papers may  be    enthusiastic   or  critical  on  the
applicability   of  neural   networks  to   processing   of  visual
information.   The  IJPRAI   journal   would  like    to  encourage
submissions    from  both,   researchers  engaged   in analysis  of
biological      systems         such            as         modeling
psychological/neurophysiological data using neural networks as well
as from members of  the engineering  community who are synthesizing
neural network  models.  The number of  papers that can be included
in this special issue  will be limited.  Therefore,  some qualified
papers may be encouraged  for submission to  the regular issues  of
IJPRAI.

                       SUBMISSION PROCEDURE

Submissions should  be sent to  Josef Skrzypek, by 12-10-1990.  The
suggested length is  20-22 double-spaced  pages  including figures,
references,  abstract and  so  on. Format  details, etc.  will   be
supplied on request.

Authors  are strongly  encouraged  to  discuss  ideas  for possible
submissions with the editors.

The  Journal   is  published  by   the  World   Scientific and  was
established in 1986.

Thank you for your considerations.


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

End of Neuron Digest [Volume 6 Issue 45]
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