Speaker
Dr
Marek Bundzel
(Technical University Kosice)
Description
Computers - the high point of technology. Our omnipresent slaves and
sometimes masters. But thousands of years before the first vacuum tube
lit up biological computing machines existed that would outmatch our
contemporary silicon companions in nearly every aspect. If in doubt
just try to build a machine doing what a simple ordinary house fly
does. Soon you will realize, that this simple creature processes and
integrates large amounts of various sensory data, infers decisions to
sustain its life and adapts to the environment. How?
In the talk we will go through some theory and practice of computing
methods inspired by the nature.Despite we are slowly becoming capable
to build the computing hardware of the desired complexity we often
fail to program that hardware to our liking. Partially, that's why we
want the hardware to learn by itself. We will see how artificial
neural networks are build and used. We will also see how it is
possible to find solutions to complex problems by means of simulated
evolutionary optimization. And finally, the memory-prediction
framework a progressive new theory trying to explain how the mammalian
brain works will be presented. The practical examples to be shown
include land use categorization using artificial neural networks,
evolutionary optimization of a mechanical structure, object
identification in sequences of images using a method based on
memory-prediction framework and some more.
Primary author
Dr
Marek Bundzel
(Technical University Kosice)
