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Dear all,<br>
<br>
NeuroTechX, INRIA and the TAILOR network just launched an <span
style="font-weight: bold;">EEG da</span><span style="font-weight: bold;">ta
challenge</span>.<br>
In this machine learning competition, participants are invited to
predict <span style="font-weight: bold;">brain age</span> from EEG
recordings.<br>
Brain age is a promising physiological metric that allows for better
computer aided diagnosis (CAD) in the new field of computational
psychiatry.<br>
<br>
<span style="font-weight: bold;">Info and registration</span>:
<a class="moz-txt-link-freetext" href="https://codalab.lisn.upsaclay.fr/competitions/8336">https://codalab.lisn.upsaclay.fr/competitions/8336</a><br>
<br>
Best,<br>
<br>
<div class="moz-signature">-- <br>Pierre Clisson<br>
<a class="moz-txt-link-freetext" href="https://timeflux.io">https://timeflux.io</a><br><br>
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