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"><span style='font-size:22.0pt;font-family:"Arial",sans-serif;color:#286DC0;text-decoration:none'><img border=0 width=150 height=49 style='width:1.5625in;height:.5069in' id=logo src="cid:image001.jpg@01D96DEB.EBED2630" alt="Department of Statistics and Data Science
"></span></a></span><span style='font-family:"Arial",sans-serif;color:black'> <a href="https://statistics.yale.edu/" title=Home><b><span style='font-size:22.0pt;color:#286DC0'>Department of Statistics and Data Science </span></b></a></span><b><i><u><span style='font-size:22.0pt;font-family:"Arial",sans-serif;color:#286DC0'> <o:p></o:p></span></u></i></b></p><p class=MsoNormal><span style='font-family:"Arial",sans-serif'>In-Person seminars will be held at Mason Lab 211, 9 Hillhouse Avenue with the option of virtual participation (<a href="https://yale.hosted.panopto.com/Panopto/Pages/Sessions/List.aspx?folderID=f8b73c34-a27b-42a7-a073-af2d00f90ffa"><span style='color:windowtext;text-decoration:none'>https://yale.hosted.panopto.com/Panopto/Pages/Sessions/List.aspx?folderID=f8b73c34-a27b-42a7-a073-af2d00f90ffa</span></a>)<o:p></o:p></span></p><p class=MsoNormal><b><span style='font-family:"Arial",sans-serif'><a href="https://0.0.0.10/"><span style='color:windowtext;font-weight:normal;text-decoration:none'>3:30pm</span></a> - Pre-talk meet and greet teatime - Dana House, 24 Hillhouse Avenue </span></b><b><o:p></o:p></b></p><p class=MsoNormal><span style='font-family:"Arial",sans-serif'><o:p> </o:p></span></p><p class=MsoNormal style='background:white'><b><span style='font-size:15.0pt;font-family:Mallory;color:#222222'>Dan Yamins, Stanford University<o:p></o:p></span></b></p><p class=MsoNormal style='background:white'><!--[if gte vml 1]><v:shapetype id="_x0000_t75" coordsize="21600,21600" o:spt="75" o:preferrelative="t" path="m@4@5l@4@11@9@11@9@5xe" filled="f" stroked="f">
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</v:shape><![endif]--><![if !vml]><img width=151 height=181 style='width:1.5694in;height:1.8819in' src="cid:image003.jpg@01D96DEB.EBED2630" align=left hspace=12 v:shapes="Picture_x0020_2"><![endif]><span style='font-size:13.0pt;font-family:Mallory'><o:p></o:p></span></p><p class=MsoNormal style='background:white'><span class=date-display-single><span style='font-size:13.5pt;font-family:Mallory;color:black'>Date: Monday, April 17, 2023</span></span><span class=date-display-single><span style='font-size:13.5pt;font-family:Mallory'><o:p></o:p></span></span></p><p class=MsoNormal style='background:white'><span class=date-display-single><span style='font-size:13.5pt;font-family:Mallory;color:black'>Time </span></span><span class=date-display-start><span style='font-size:13.5pt;font-family:Mallory;color:black'>4:00PM</span></span><span class=date-display-range><span style='font-size:13.5pt;font-family:Mallory;color:black'> to </span></span><span class=date-display-end><span style='font-size:13.5pt;font-family:Mallory;color:black'>5:00PM</span></span><span style='font-size:13.5pt;font-family:Mallory'><o:p></o:p></span></p><p class=MsoNormal style='background:white'><span class=fn><span style='font-size:13.0pt;font-family:Mallory;color:black'>Mason Lab, Rm. 211</span></span><span style='font-size:13.0pt;font-family:Mallory;color:black'> </span><span class=map-icon><span style='font-size:12.0pt;font-family:Mallory;color:black;letter-spacing:.6pt'><a href="http://maps.google.com/?q=9+Hillhouse+Avenue%2C+New+Haven%2C+CT%2C+06511%2C+us"><span style='color:black'>see map</span></a> </span></span><span style='font-size:13.0pt;font-family:Mallory'><o:p></o:p></span></p><p class=MsoNormal style='background:white'><span style='font-size:13.0pt;font-family:Mallory;color:black'>9 Hillhouse Avenue</span><span style='font-size:13.0pt;font-family:Mallory'><o:p></o:p></span></p><p class=MsoNormal style='background:white'><span class=locality><span style='font-size:13.0pt;font-family:Mallory;color:black'>New Haven</span></span><span style='font-size:13.0pt;font-family:Mallory;color:black'>, <span class=region>CT</span> <span class=postal-code>06511</span></span><span style='font-size:13.0pt;font-family:Mallory'><o:p></o:p></span></p><p class=MsoNormal style='background:white'><span style='font-size:13.0pt;font-family:Mallory;color:#222222'><a href="http://stanford.edu/~yamins/"><span style='font-size:12.0pt;color:#003C76'>Website</span></a><o:p></o:p></span></p><p class=MsoNormal style='background:white'><span style='font-size:13.0pt;font-family:Mallory;color:#222222'><o:p> </o:p></span></p><p class=MsoNormal style='background:white'><span style='font-size:13.0pt;font-family:Mallory;color:#222222'><o:p> </o:p></span></p><p class=MsoNormal style='background:white'><span style='font-size:13.0pt;font-family:Mallory;color:#222222'><o:p> </o:p></span></p><p class=MsoNormal style='background:white'><b><span style='font-size:15.0pt;font-family:Mallory;color:#222222'>A Fruitful Reciprocity: The Neuroscience-AI Connection<o:p></o:p></span></b></p><p class=MsoNormal style='background:white'><span style='font-size:13.0pt;font-family:Mallory;color:#222222'><o:p> </o:p></span></p><p class=MsoNormal style='background:white'><b><span style='font-size:13.0pt;font-family:Mallory;color:#222222'>Information and Abstract: <o:p></o:p></span></b></p><p style='mso-margin-top-alt:0in;margin-right:0in;margin-bottom:12.0pt;margin-left:0in;background:white;box-sizing: inherit'><span style='font-size:13.0pt;font-family:Mallory;color:#222222'>The emerging field of NeuroAI has leveraged techniques from artificial intelligence to analyze large-scale brain data. In this talk, I will show that the connection between neuroscience and AI can be fruitful in both directions. Towards “AI driving neuroscience”, I will discuss recent advances in self-supervised learning with deep recurrent networks that yield a developmentally-plausible model of the primate visual system. In the direction of “neuroscience guiding AI”, I will present a novel cognitively-grounded computational theory of perception that generates powerful new learning algorithms for real-world scene understanding. Taken together, these ideas illustrate how neural networks optimized to solve cognitively-informed tasks provide a unified framework for both understanding the brain and improving AI.<br> <o:p></o:p></span></p><p style='mso-margin-top-alt:0in;margin-right:0in;margin-bottom:12.0pt;margin-left:0in;background:white;box-sizing: inherit'><span style='font-size:13.0pt;font-family:Mallory;color:#222222'>In-Person seminars will be held at Mason Lab 211 with optional remote access:<br>(<a href="https://yale.hosted.panopto.com/Panopto/Pages/Sessions/List.aspx?folderID=f8b73c34-a27b-42a7-a073-af2d00f90ffa"><span style='color:#286DC0'>https://yale.hosted.panopto.com/Panopto/Pages/Sessions/List.aspx?folderID=f8b73c34-a27b-42a7-a073-af2d00f90ffa</span></a>)<o:p></o:p></span></p><p style='mso-margin-top-alt:0in;margin-right:0in;margin-bottom:12.0pt;margin-left:0in;background:white;box-sizing: inherit'><span style='font-size:13.0pt;font-family:Mallory;color:#222222'>3:30pm – Pre-talk meet and greet teatime – Dana House, 24 Hillhouse Avenue<o:p></o:p></span></p><p class=MsoNormal><b><i><o:p> </o:p></i></b></p><p class=MsoNormal><span style='font-size:12.0pt;font-family:"Arial",sans-serif;color:black'>For more details and upcoming events visit our website at <a href="http://statistics.yale.edu/"><span style='color:black'>http://statistics.yale.edu/</span></a></span><o:p></o:p></p><p class=MsoNormal><span style='font-family:"Arial",sans-serif'><o:p> </o:p></span></p><p class=MsoNormal><span style='font-size:18.0pt;font-family:"Arial",sans-serif'>Department of Statistics and Data Science<o:p></o:p></span></p><p class=MsoNormal><span style='font-size:9.0pt;font-family:"Arial",sans-serif;color:black'>Yale University<br>24 Hillhouse Avenue<br>New Haven, CT 06511<o:p></o:p></span></p><p class=MsoNormal><span style='font-size:9.0pt;font-family:"Arial",sans-serif;color:black'>t 203.432.0666<br>f 203.432.0633<o:p></o:p></span></p><p class=MsoNormal><o:p> </o:p></p></div></body></html>