Cambridge Neural Nets Summer School 1995

[Richard Prager]

    +------------------------------------------------------------------+
    |      FIFTH ANNUAL CAMBRIDGE NEURAL NETWORKS SUMMER SCHOOL        |
    |                                                                  |
    |  24-27 July 1995, Emmanuel College, Cambridge, United Kingdom    |
    +------------------------------------------------------------------+

        FULLY FUNDED PLACES AVAILABLE FOR EPSRC RESEARCH STUDENTS

		 DISCOUNTED RATES AVAILABLE FOR ACADEMICS


SPEAKERS

    Professor Chris BISHOP - Aston University, Birmingham
    Dr Herve BOURLARD - Faculte Polytechnique of Mons, Belgium
    Dr John DAUGMAN - University of Cambridge
    Professor Geoffrey HINTON - Toronto University
    Dr Robert JOHNSTON - GEC Hirst Research Centre, Hertfordshire
    Professor Michael JORDAN - MIT, Boston, Massachusetts
    Dr Michael LYNCH - Cambridge Neurodynamics Ltd
    Dr David MACKAY - University of Cambridge
    Dr Rich SUTTON - GTE Laboratories, Massachusetts
    Dr Lionel TARASSENKO - University of Oxford


PROGRAMME

The course will consist of a series of lectures by international experts,
interspersed with practical sessions, laboratory tours, poster session,
discussion (both formal and informal) and a commercial exhibition.  All
sessions will be covered by comprehensive course notes and subjects will
include:

    Introduction and overview:
    Connectionist computing: an introduction and overview
    Programming a neural network
    Parallel distributed processing perspective
    Theory and parallels with conventional algorithms
    Architectures:
    Pattern processing and generalisation
    Bayesian methods and non-linear modelling
    Reinforcement learning neural networks
    Multiple expert networks
    Self organising neural networks
    Feedback networks for optimization
    Applications:
    System identifications
    Time series predictions
    Learning forward and inverse dynamical models
    Control of non-linear dynamical systems using neural networks
    Artificial and biological vision systems
    Silicon VLSI neural networks
    Applications to speech recognition
    Applications to mobile robotics
    Financial system modelling
    Applications in medical diagnostics


WHO WILL BENEFIT

* Engineers, software specialists and those needing to assess the current
    potential of neural networks
* Technical staff requiring an overview of the subject
* Individuals who already have expertise in this area and need to keep
    abreast of recent developments
* Those who have recently entered the field and require a complete
    perspective of the subject
* Researchers and academics working within neural computing areas, as well
    as all those in industry researching and developing applications

Some, although not all, of the lectures will involve graduate level
mathematical theory.


ACADEMIC DIRECTORS

The Summer School will be chaired by members of Cambridge University
Engineering Department (CUED) who as members of the Speech, Vision and
Robotics Group have current research interests as shown:

    DR MAHESAN NIRANJAN - speech processing and pattern classification
    DR RICHARD PRAGER   - speech and medical applications
    DR TONY ROBINSON    - recurrent networks and speech processing

ACADEMIC SPEAKERS

PROFESSOR CHRIS BISHOP, Head of the Neural Computing Research Group at 
Aston University and Chairman of the Neural Computing Applications Forum, 
is researching statistical pattern recognition.

DR HERVE BOURLARD is with Faculte Polytechnique of Mons, Belgium.  He has
made many contributions in the area of neural networks and speech
recognition.

DR JOHN DAUGMAN is Lecturer in Artificial Intelligence in the Computer
Laboratory at Cambridge University.  His areas of research are
computational neuroscience, multi-dimensional signal processing, computer
vision, statistical pattern recognition, and biological vision.

PROFESSOR GEOFFREY HINTON, Professor of Computer Science and Psychology at
the University of Toronto, researches learning, perception and symbol
processing in neural networks.  He was one of the researchers who
introduced the back-propagation algorithm that is now widely used for
practical applications.

PROFESSOR MICHAEL JORDAN is in the Department of Brain & Cognitive Science
at MIT.  His contributions to the field include the development of
probabilistic methods for learning in modular and hierarchical systems,
and the development of methods for applying neural networks to system
identification and control problems.

DR DAVID MACKAY works on Bayesian methods and non-linear modelling at the
Cavendish Laboratory.  He obtained his PhD in Computation and Neural
Systems at California Institute of Technology.

DR LIONEL TARASSENKO is with the Department of Engineering Science at the
University of Oxford.  His specialisms are robotics and the hardware
implementation of neural computing.


INDUSTRIAL SPEAKERS

DR ROBERT JOHNSTON joined GEC Hirst Research Centre in 1989.  His current
research is on the applications of non-linear control, with emphasis on
fuzzy systems and neural networks.

DR MICHAEL LYNCH is Managing Director of Cambridge Neuro-dynamics, a
company specialising in the practical application of neural network
recognition systems for police, transport and security systems.

DR RICH SUTTON is with the Adaptive Systems Department of GTE Laboratories
near Boston, Massachusetts.  His specialisms are reinforcement learning,
planning and animal learning behaviours.


LABORATORY TOURS

Two afternoon tours will provide the opportunity to observe current
research in the field of neural network theory and applications.  The
Neural Networks Group at CUED have been working in this field since 1984.
The Group currently consists of 8 staff and 14 research students.


`HANDS-ON' SESSIONS

An afternoon practical session will offer the chance to experiment with
neural network software and develop an understanding of its strengths and
weaknesses.  A custom designed environment is available to enable the
participants to simulate a variety of problems and explore neural
solutions.


APPLICATIONS DAY

Day 4 will be focused on the applications of neural systems featuring
presentations from companies which have exploited connectionist solutions
in their businesses.  This will give delegates invaluable first hand
insight into the technical and practical detail of the transition from
research to application.  It will present a 'world-class' perspective on
the relevance of neural design techniques to commercial and industrial
requirements.


RESEARCH STUDENTS

The Engineering and Physical Sciences Research Council are funding a
limited number of places for UK, post-graduate research students.  The
students benefit from the interaction with a wide range of academics and
industrialists and have the opportunity to extend their experience and
establish links into industry and other institutions.  A poster session
will present the current research interests of each student, providing an
insight into the work of the connectionist groups in higher education
institutions across the UK.


VENUE AND ACCOMMODATION

The Summer School will be held at Emmanuel College, Cambridge.  Emmanuel
was founded in 1584 and its attractions include the Wren Chapel and
beautiful gardens which delegates may enjoy.  The Summer School will take
place in the new lecture theatre complex.  Emmanuel's city centre location
provides easy access to shops and services, is on the main bus route from
the Rail Station and is 2 minutes walk from Drummer Street Bus Station,
which is served by all national and airport services.  Accommodation can
be arranged for delegates in single study bedrooms with shared facilities
at Emmanuel College for 205 pounds for 4 nights to include bed and
breakfast, dinner and a Course Dinner.  An additional night's
accommodation (bed and breakfast only) on Thursday, 27 July is available
at 28 pounds.  If you would prefer to make your own arrangements please
indicate on the registration form and details of local hotels will be sent
to you.


SUMMER SCHOOL FEES

All fees are payable in advance and include a set of course notes and all 
day-time refreshments.

Days 1-4 (Monday-Thursday)  -  775 pounds

Academic Discounted Rate: (see qualifying note)*
Days 1-4 (Monday-Thursday)  -  475 pounds
*Academic discounts only available if fees are to be paid by an academic
institution.  Limited number available - please contact the Course
Administrator before applying.


REGISTRATIONS

For applications for EPSRC fully funded studentships please use the
form at the end of this message.  Otherwise please contact the
Cambridge Programme for Industry:

By Email:    rjs1008 at cus.cam.ac.uk
By Post:     Registration Administrator, University of Cambridge, Programme
	     for Industry, 1 Trumpington Street, Cambridge, CB2 1QA, UK.
By Phone on: +44 (0)1223 302233
By Fax on:   +44 (0)1223 301122

All reserved places must be confirmed by returning a registration form to
the address shown.  Bookings will be confirmed after payment has been
received in full.  Delegates will only be accepted onto a course if
payment has been received in full or an official company order has been
received.


METHODS OF PAYMENT

Payments should be made by:

A cheque drawn on a UK bank, VISA or Mastercard/Eurocard, Sterling banker's
draft drawn on a UK bank, Crossed international money order, Sterling
travellers' cheques

Any bank charges arising from international transactions must be met by
the delegate.  All payments to University of Cambridge must be for the
full amount of fees incurred.  Personal cheques drawn on banks outside the
UK will not be accepted.  Please do not send cash.  Cheques or orders
should be made payable to the 'University of Cambridge-EYA 4814'.

CANCELLATIONS

Half the registration fee will be returned for bookings cancelled up to
one calender month in advance of the course.  After this time no fees are
returnable.  However, substitutions may be made at any time.  The
Cambridge Programme for Industry reserves the right to pass on any charges
levied by a College for cancellation of accommodation and meal bookings.


EPSRC FUNDED STUDENTSHIPS

A number of Studentships are available for EPSRC-funded, UK registered,
post-graduate research students with UK residency.  The Studentship covers
all course costs and students can attend either Days 1-3 or Days 1-4, with
full accommodation packages.  Overnight accommodation will not be funded
for students resident in or close to Cambridge.  Funding is not available
for accommodation on Sunday, 23 July, but bed and breakfast in College can
be booked at a cost to the student of 28 pounds.  Please indicate if you require
the extra night's accommodation at the time of application.  Wherever
possible, students will be funded to their requested level, however it
will be necessary to limit the number of students funded for Day 4.
Please note that Studentships do not include travel costs.  Recipients of
1994 Studentships will not be eligible for 1995 Studentships.


HOW TO APPLY FOR AN EPSRC FULLY FUNDED STUDENTSHIP

To be considered for a place, please complete the application form
below and send a one page summary of current research including how you
expect to benefit by attending, a curriculum vitae and a letter of
recommendation from your supervisor.  The deadline for applications is 19
May 1995.  It should be noted that successful applicants will be required
to present a poster of their current research or of the research interest
of their group.  The poster session will be held on Day 1.

EPSRC Studentship No. 
Title (Mr/Miss/Ms)
Surname
First Name(s)
Institution
Address

Post Code
Telephone 
Fax
E-mail:

I wish to be considered for an EPSRC Studentship as follows:
(please delete those which do not apply)

    Days 1-3 with 2 nights accommodation package
    Days 1-3 without accommodation
    Days 1-4 with 3 nights accommodation package
    Days 1-4 without accommodation
    Bed and breakfast only on Sunday, 23 July @ 28 pounds