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X-WR-CALNAME;VALUE=TEXT:Visiting Speaker - Marcel Binz 
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SUMMARY:Visiting Speaker - Marcel Binz 
DESCRIPTION:<p>	<strong>Marcel Binz</strong>, Research Scientist, Helmholtz Computational Health Center, Munich</p><p class="paragraph" style="margin:0in">	<span style="vertical-align:baseline"><strong><span><span><span style="color:#212121">Topic: “</span></span></span><span style="user-select:text"><span style="-webkit-user-drag:none"><span style="-webkit-tap-highlight-color:transparent">Building foundation models of human cognition</span></span></span><span style="user-select:text"><span style="-webkit-user-drag:none"><span style="-webkit-tap-highlight-color:transparent">”</span></span></span></strong><br style="user-select:text;-webkit-user-drag:none;-webkit-tap-highlight-color:transparent"><span style="user-select:text"><span style="-webkit-user-drag:none"><span style="-webkit-tap-highlight-color:transparent"><span><span><span style="color:#212121"><span style="user-select:text"><span style="-webkit-user-drag:none"><span style="-webkit-tap-highlight-color:transparent"><span data-contrast="none" style="user-select:text" xml:lang="EN-US"><span style="-webkit-user-drag:none"><span style="-webkit-tap-highlight-color:transparent"><span style="font-variant-ligatures:none!important">Most cognitive models are domain-specific, meaning that their scope is restricted to a single type of problem. The human mind, on the other hand, does not work like this – it is a unified system whose processes are deeply intertwined. How can we develop models that cannot only simulate, predict, and explain human behavior in a single domain but that offer a truly universal take on our mind? In this talk, I will outline an interdisciplinary research </span></span></span></span><span style="user-select:text"><span style="-webkit-user-drag:none"><span style="-webkit-tap-highlight-color:transparent">programme</span></span></span><span style="user-select:text"><span style="-webkit-user-drag:none"><span style="-webkit-tap-highlight-color:transparent"> – building on my earlier work in meta-learning and large language models – for </span></span></span><span style="user-select:text"><span style="-webkit-user-drag:none"><span style="-webkit-tap-highlight-color:transparent">establishing</span></span></span><span style="user-select:text"><span style="-webkit-user-drag:none"><span style="-webkit-tap-highlight-color:transparent"> such foundation models of human cognition.</span></span></span></span></span></span></span></span></span><br style="user-select:text;-webkit-user-drag:none;-webkit-tap-highlight-color:transparent"><br style="user-select:text;-webkit-user-drag:none;-webkit-tap-highlight-color:transparent"><span style="color:#212121"><span style="user-select:text"><span style="-webkit-user-drag:none"><span style="-webkit-tap-highlight-color:transparent"><span data-contrast="none" style="user-select:text" xml:lang="EN-US"><span style="-webkit-user-drag:none"><span style="-webkit-tap-highlight-color:transparent"><span style="font-variant-ligatures:none!important">Dr. Marcel </span></span></span></span><span style="user-select:text"><span style="-webkit-user-drag:none"><span style="-webkit-tap-highlight-color:transparent">Binz</span></span></span><span style="user-select:text"><span style="-webkit-user-drag:none"><span style="-webkit-tap-highlight-color:transparent"> is a research scientist and deputy head of the Institute of Human-Centered AI at the Helmholtz Computational Health Center in Munich, and a guest scientist at the Max Planck Institute for Biological Cybernetics in Tübingen. His work has been featured in top-tier journals such as PNAS, Psychological Review, and Behavioral and Brain Sciences, as well as in leading machine learning venues such as </span></span></span><span style="user-select:text"><span style="-webkit-user-drag:none"><span style="-webkit-tap-highlight-color:transparent">NeurIPS</span></span></span><span style="user-select:text"><span style="-webkit-user-drag:none"><span style="-webkit-tap-highlight-color:transparent"> and ICML.</span></span></span></span></span></span></span> </span></span></span></span></p><p>	 </p>
LOCATION:William James Hall - 1st floor Lecture Hall, Room 105
STATUS:CONFIRMED
DTSTART:20231207T170000Z
DTEND:20231207T181500Z
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