<div dir="ltr"><div><br></div><p class="MsoNormal" style="margin-bottom:0.0001pt;line-height:normal"><b><span style="font-family:verdana,sans-serif"><font size="4">Distinguished Lecture Series: </font></span></b><span style="font-size:9.5pt;font-family:arial,sans-serif"><span></span></span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt;line-height:normal"><b><span style="font-size:13.5pt;font-family:verdana,sans-serif">Josh Tenenbaum, Massachusetts Institute of Technology</span></b><span style="font-size:18pt;font-family:arial,sans-serif"> </span><span style="font-size:9.5pt;font-family:arial,sans-serif"><span></span></span></p>
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<p class="MsoNormal" style="margin-bottom:0.0001pt;line-height:normal"><span style="font-size:9.5pt;font-family:arial,sans-serif"><span> </span></span></p><img src="cid:ii_15802d14c3b1e711" alt="Inline image 1" width="210" height="210"><br><span style="color:rgb(48,48,48);font-family:verdana,sans-serif;font-size:8pt"> Photo credit: Azeddine
Tahiri</span>
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<p class="MsoNormal" style="margin-bottom:0.0001pt;line-height:normal"><b><span style="font-size:12pt;font-family:verdana,sans-serif;color:rgb(48,48,48)">Wednesday, November 2, 2016 at 11:00 am</span></b><span style="font-size:12pt;font-family:arial,sans-serif"><span></span></span></p>
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<p class="MsoNormal" style="margin-bottom:0.0001pt;line-height:normal"><b><i><span style="font-size:9.5pt;font-family:verdana,sans-serif;color:rgb(11,83,148)">Toyota Technological Institute at Chicago</span></i></b><span style="font-size:9.5pt;font-family:"times new roman",serif"><span></span></span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt;line-height:normal"><b><span style="font-size:9.5pt;font-family:verdana,sans-serif;color:rgb(48,48,48)">6045 S. Kenwood Avenue</span></b><span style="font-size:9.5pt;font-family:"times new roman",serif"><span></span></span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt;line-height:normal"><b><span style="font-size:9.5pt;font-family:verdana,sans-serif;color:rgb(48,48,48)">Room #526</span></b><b><span style="font-size:9.5pt;font-family:"times new roman",serif;color:rgb(48,48,48)"></span></b><b><span style="font-size:9.5pt;font-family:verdana,sans-serif;color:rgb(48,48,48)">/530</span></b><span style="font-size:9.5pt;font-family:"times new roman",serif"><span></span></span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt;line-height:normal"><b><span style="font-family:verdana,sans-serif;color:rgb(23,55,94)"><a href="http://web.mit.edu/cocosci/josh.html"><span style="color:rgb(0,0,191)">Josh
Tenenbaum</span></a>, PhD</span></b><span style="font-size:9.5pt;font-family:"times new roman",serif"><br>
</span><span style="font-size:9pt;font-family:verdana,sans-serif;color:rgb(48,48,48)">Professor,<br>
Department of Brain and Cognitive Sciences,<br>
Massachusetts Institute of Technology</span><span style="font-size:9.5pt;font-family:"times new roman",serif"><span></span></span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt;line-height:14.6pt"><span style="font-size:12pt;font-family:"times new roman",serif"> </span><span style="font-size:12pt;font-family:"times new roman",serif"><span></span></span></p>
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<hr size="2" width="100%" noshade style="color:rgb(48,48,48)" align="left">
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<p class="MsoNormal" style="line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><b><span style="font-size:9pt;font-family:verdana,sans-serif;color:rgb(48,48,48)"><br></span></b></p><p class="MsoNormal" style="line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><b><span style="font-size:9pt;font-family:verdana,sans-serif;color:rgb(48,48,48)">Title:</span></b><span style="font-size:9pt;font-family:verdana,sans-serif;color:rgb(48,48,48)"> Engineering
and Reverse-Engineering Common Sense<span></span></span></p><p class="MsoNormal" style="line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><span style="font-size:9pt;font-family:verdana,sans-serif;color:rgb(48,48,48)"><br></span></p><p class="MsoNormal" style="line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><span style="font-size:9pt;font-family:verdana,sans-serif;color:rgb(48,48,48)"><br></span></p>
<p class="MsoNormal" style="line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><b><span style="font-size:9pt;font-family:verdana,sans-serif;color:rgb(48,48,48)">Abstract:</span></b><span style="font-size:9pt;font-family:verdana,sans-serif;color:rgb(48,48,48)"> Many
recent successes in computer vision, machine learning and other areas of
artificial intelligence have been driven by methods for sophisticated pattern
recognition, such as deep neural networks. But human intelligence is more than
just pattern recognition. In particular, it depends on a suite of commonsense
capacities for modeling the world: for explaining and understanding what we
see, imagining things we could see but haven’t yet, solving problems and
planning actions to make these things real, and building new models as we learn
more about the world. I will talk about how we are beginning to capture these
distinctively human capacities in computational models using the tools of
probabilistic programs and program induction, embedded in a Bayesian framework
for inference from data. These models help to explain how humans can perceive
rich three-dimensional structure in visual scenes and objects, perceive and
predict objects' motion based on their intrinsic physical characteristics, and
learn new visual object concepts from just one or a few examples.<span></span></span></p><p class="MsoNormal" style="line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><span style="font-size:9pt;font-family:verdana,sans-serif;color:rgb(48,48,48)"><br></span></p>
<p class="MsoNormal" style="line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><b><span style="font-size:9pt;font-family:verdana,sans-serif;color:rgb(48,48,48)">Bio:</span></b><span style="font-size:9pt;font-family:verdana,sans-serif;color:rgb(48,48,48)"> Josh
Tenenbaum is Professor of Computational Cognitive Science in the Department of
Brain and Cognitive Sciences at MIT, a principal investigator at MIT's Computer
Science and Artificial Intelligence Laboratory (CSAIL), and a thrust leader in
the Center for Brains, Minds and Machines (CBMM). His research centers on
perception, learning, and common-sense reasoning in humans and machines, with
the twin goals of better understanding human intelligence in computational
terms and building more human-like intelligence in machines. The machine
learning and artificial intelligence algorithms developed by his group are
currently used by hundreds of other science and engineering groups around the
world.<span></span></span></p>
<p class="MsoNormal" style="line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><span style="font-size:9pt;font-family:verdana,sans-serif;color:rgb(48,48,48)">Tenenbaum received his PhD from MIT in 1999,
and was an Assistant Professor at Stanford University from 1999 to 2002 before
returning to MIT. His papers have received awards at the Cognitive
Science (CogSci), Computer Vision and Pattern Recognition (CVPR), Neural
Information Processing Systems (NIPS), and Uncertainty in Artificial
Intelligence (UAI) conferences, the International Conference on Learning and
Development (ICDL) and the International Joint Conference on Artificial
Intelligence (IJCAI). He has given invited keynote talks at all of the
major machine learning and artificial conferences, as well as the main meetings
of the Cognitive Science Society, the Cognitive Development Society, the
Society for Mathematical Psychology, and held distinguished lectureships at
Stanford University, the University of Amsterdam, McGill University, the
University of Pennsylvania, the University of California, San Diego, and the
University of Arizona. He is the recipient of the Early Investigator
Award from the Society of Experimental Psychologists, the Distinguished
Scientific Award for Early Career Contribution to Psychology from the American Psychological
Association, and the Troland Research Award from the National Academy of
Sciences, and is a fellow of the Society of Experimental Psychologists and the
Cognitive Science Society.<span></span></span></p><p class="MsoNormal" style="line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><span style="font-size:9pt;font-family:verdana,sans-serif;color:rgb(48,48,48)"><br></span></p><p class="MsoNormal" style="line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><span style="font-size:9pt;font-family:verdana,sans-serif;color:rgb(48,48,48)"><br></span></p><p class="MsoNormal" style="line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><span style="font-size:9pt;font-family:verdana,sans-serif;color:rgb(48,48,48)">Host: Nathan Srebro, <a href="mailto:nati@ttic.edu"><b>nati@ttic.edu</b></a></span></p><p class="MsoNormal" style="line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><span style="font-size:9pt;font-family:verdana,sans-serif;color:rgb(48,48,48)"><br></span></p><p class="MsoNormal" style="line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><span style="font-size:9pt;font-family:verdana,sans-serif;color:rgb(48,48,48)"><br></span></p><p class="MsoNormal" style="line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><span style="font-size:9pt;font-family:verdana,sans-serif;color:rgb(48,48,48)"><br></span></p><p class="MsoNormal" style="line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><span style="font-size:9pt;font-family:verdana,sans-serif;color:rgb(48,48,48)"><br></span></p><div><div class="gmail_signature"><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><font face="arial, helvetica, sans-serif">Mary C. Marre</font><div><font face="arial, helvetica, sans-serif">Administrative Assistant</font></div><div><i><font face="arial, helvetica, sans-serif" color="#3d85c6"><b>Toyota Technological Institute</b></font></i></div><div><i><font face="arial, helvetica, sans-serif" color="#3d85c6">6045 S. Kenwood Avenue</font></i></div><div><i><font face="arial, helvetica, sans-serif" color="#3d85c6">Room 504</font></i></div><div><i><font face="arial, helvetica, sans-serif" color="#3d85c6">Chicago, IL 60637</font></i></div><div><i><font face="arial, helvetica, sans-serif">p:(773) 834-1757</font></i></div><div><i><font face="arial, helvetica, sans-serif">f: (773) 357-6970</font></i></div><div><b><i><a href="mailto:mmarre@ttic.edu" target="_blank"><font face="arial, helvetica, sans-serif">mmarre@ttic.edu</font></a></i></b></div></div></div></div></div></div></div></div></div></div>
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