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<p>Dear colleagues,</p>
<p>we have the pleasure to announce the inauguration speech of our
new AI Alexander von Humboldt professor at Bielefeld University,
Yaochu Jin, who will talk about the topic<br>
</p>
<h3><span style="font-weight: normal;">Towards Evolutionary
Developmental Artificial Intelligence</span></h3>
<p><b>next Wednesday, April 27th, 4.15 pm</b>, in a hybrid lecture
taking place in the lecture series of our joint AI institute JAII
<a href="https://jaii.eu/" class="moz-txt-link-freetext"
moz-do-not-send="true">https://jaii.eu/</a></p>
<p>Please find the abstract below. Please register <a class=""
href="https://uni-bielefeld.zoom.us/meeting/register/u5Apc--grT8tGdZFHLpvbhZMxEo3ZB3aHVcW"
moz-do-not-send="true">here</a> to get the link. More
information are available at the JAII web site <a
href="https://jaii.eu/" class="moz-txt-link-freetext"
moz-do-not-send="true">https://jaii.eu/</a></p>
<p>AvH professorships constitute the highest endowed individual
research award in Germany's research landscape, granted to
outstanding researchers in the field, with AI as recent special
funding line:
<a class="moz-txt-link-freetext"
href="https://www.humboldt-foundation.de/entdecken/newsroom/dossier-alexander-von-humboldt-professur/yaochu-jin"
moz-do-not-send="true">https://www.humboldt-foundation.de/entdecken/newsroom/dossier-alexander-von-humboldt-professur/yaochu-jin</a></p>
<p>Best wishes <br>
</p>
<p>Barbara</p>
<p>--</p>
<h3>Hybrid Lecture by Humboldt Professor Yaochu Jin on April 27,
16:15-17:45 CET, "Towards Evolutionary Developmental Artificial
Intelligence"</h3>
<p>Considering the limitations of the deep learning approach to
artificial intelligence, this talk proposes to understand and
emulate human intelligence from an evolutionary developmental
perspective. We first provide a brief introduction to the
biological findings about evolution and development of human brain
and nervous systems. Then preliminary computational models of
neural and morphological evolution and development are presented.
Experimental results reveal that energy minimization is a main
principle behind the organization of nervous systems and there is
a close coupling between body and brain in evolution and
development. Finally, we describe some recent advances in
computational modeling of neural plasticity embedded in the
reservoir computing and discuss their influences on the learning
performance of echo state networks and spiking neural networks.
The talks is concluded by an outline of future research.</p>
<p><br>
</p>
<pre class="moz-signature" cols="72">--
Prof. Dr. Barbara Hammer
Machine Learning Group, CITEC
Bielefeld University
D-33594 Bielefeld
Phone: +49 521 / 106 12115</pre>
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