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    <h2>30th International Conference on Artificial Neural Networks<br>
      ICANN 2021 ONLINE<br>
      <img src="cid:part1.2127893C.31DEE5E3@e-nns.org" alt="" class=""></h2>
    <p><a class="moz-txt-link-freetext"
        href="https://e-nns.org/icann2021" moz-do-not-send="true">https://e-nns.org/icann2021</a><br>
      <br>
      ONLINE<br>
      14 - 17 September 2021<br>
      =============================================================<br>
      <br>
      The International Conference on Artificial Neural Networks (ICANN)
      is the<br>
      annual flagship conference of the European Neural Network Society
      (ENNS).<br>
      In 2021 the Faculty of Mathematics, Physics and Informatics
      (FMPI), Comenius<br>
      University in Bratislava, together with the Slovak Society for
      Cognitive<br>
      Science, organize the 30th ICANN Conference from the 14th to the
      17th of<br>
      September 2021.<br>
      <br>
      <b>The conference is held fully online.</b><br>
    </p>
    <p><b>Conference program:</b> <a class="moz-txt-link-freetext"
        href="https://e-nns.org/icann2021/conference-programme/">https://e-nns.org/icann2021/conference-programme/</a><br>
    </p>
    <p><b>KEYNOTE SPEAKERS<br>
      </b>Marc-Oliver Gewaltig — EPFL, Switzerland<br>
      Alessandro Sperduti — Padova, Italy<br>
      Jochen Steil — Technische Universität Braunschweig, Germany<br>
      Peter Tino — Birmingham, U.K.<b><br>
      </b></p>
    <p><b>CONFERENCE TOPICS</b></p>
    <p> ICANN 2021 features tracks in Brain Inspired Computing and
      Machine Learning <br>
      and Artificial Neural Networks, with strong cross-disciplinary
      interactions and<br>
      applications. All research fields dealing with Neural Networks
      will be present<br>
      at the conference. A non-exhaustive list of topics includes:<br>
      <br>
      Machine Learning: Deep Learning, Neural Network Theory, Neural
      Network Models,<br>
      Graphical Models, Bayesian Networks, Kernel Methods, Generative
      Models,<br>
      Information Theoretic Learning, Reinforcement Learning, Relational
      Learning,<br>
      Dynamical Models, Recurrent Networks.<br>
      <br>
      Brain Inspired Computing: Cognitive models, Computational
      Neuroscience,<br>
      Self-organisation, Reinforcement Learning, Neural Control and
      Planning, Hybrid<br>
      Neural-Symbolic Architectures, Neural Dynamics, Cognitive
      Neuroscience, Brain<br>
      Informatics, Perception and action.<br>
      <br>
      Neural Applications for: Bioinformatics, Biomedicine, Intelligent
      Robotics,<br>
      Neurorobotics, Language Processing, Image Processing, Sensor
      Fusion, Pattern<br>
      Recognition, Data Mining, Neural Agents, Brain-Computer
      Interaction, Neural<br>
      Hardware, Evolutionary Neural Networks.</p>
    <p><b>ORGANISATION</b><br>
      General Chairs:<br>
      Igor Farkaš (FMPI, Comenius University in Bratislava, Slovakia)<br>
      Ľubica Beňušková (FMPI, Comenius University in Bratislava,
      Slovakia)<br>
      <br>
      Organising Committee Chairs:<br>
      Kristína Malinovská (FMPI, Comenius University in Bratislava,
      Slovakia)<br>
      Sebastian Otte (University of Tübingen, Germany)<br>
      Alessandra Lintas (ENNS Lausanne, Switzerland)<br>
      <br>
      Honorary Chairs:<br>
      Stefan Wermter, University in Hamburg, Germany (ENNS President)<br>
      Věra Kůrková, Czech Academy of Sciences, Prague, Czechia (past
      ENNS President)<br>
      <br>
      Communication Chair:<br>
      Paolo Masulli (Technical University of Denmark, ENNS)</p>
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