🚀 go-pugleaf

You are invited to the following Seminar:
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Speaker: Prof. Ulrich Rueckert
	 Heinz Nixdorf Institute
         Germany

Title:   The Silicon Way To Artificial Neural Networks
	 
Date:    Tuesday, 27th July 1999 
Time:    12.00pm
Place:   Lecture Theatre S303, Faculty of Information Technology,
         Queensland University of Technology

Abstract:
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Despite the remarkable progress in silicon-based integration technology,
there is still no clear consensus on how to exploit efficiently this technology for massively parallel neural network hardware implementation. In my talk some 
of the key implementational issues will be considered and microelectronic
implementations developed in my research group will be sketched. Especially, 
the question of resource-efficiency will be discussed.

The chips presented are model specific integrated circuits for neural
associative memories, self-organizing maps, local cluster neural nets and 
radial basis function networks, respectively.  These chips are embedded in a 
hybrid VMEbus environment for large scale simulation as well as into the 
autonomous micro-robot Khepera for resource-efficient real-time application.

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