[visionlist] Brains, Minds and Machines 2018

[Gabriel Kreiman]

Dear Friends,



Please circulate the course information among labs/colleagues/friends that
might be interested. Thank you!



*Brains, Minds and Machines Summer Course 2018*

A Special Topics Course at MBL Woods Hole, MA

Directors: Gabriel Kreiman, Children’s Hospital, Harvard Medical School;
and Tomaso Poggio, Massachusetts Institute of Technology

Course Dates: August 9 – August 30, 2018

Application Deadline: April 9, 2018

More information: http://cbmm.mit.edu/summer-school/2018
<https://urldefense.proofpoint.com/v2/url?u=http-3A__cbmm.mit.edu_summer-2Dschool_2018&d=DwMGaQ&c=qS4goWBT7poplM69zy_3xhKwEW14JZMSdioCoppxeFU&r=CjoPvXnpcDJ8H8uD5dcpNWzDAHpRk0df5I2452RVENrMq3lnGp6NzlT_WzrNJouC&m=-Osv0XnpEMa0aj6nvZ0zaRa24C2i3UiEW5kh6RROQgY&s=aZBzDZoGg-mdpLQPlgGnTZz1JUDWS7AoaeJ0FA_GLCw&e=>



The basis of intelligence – how the brain produces intelligent behavior and
how we may be able to replicate intelligence in machines – is arguably the
greatest problem in science and technology. To solve it, we will need to
understand how human intelligence emerges from computations in neural
circuits, with rigor sufficient to reproduce similar intelligent behavior
in machines. Success in this endeavor ultimately will enable us to
understand ourselves better, to produce smarter machines, and perhaps even
to make ourselves smarter. Today’s AI technologies, such as Watson and
Siri, are impressive, but their domain specificity and reliance on vast
numbers of labeled examples are obvious limitations; few view this as
brain-like or human intelligence. The synergistic combination of cognitive
science, neurobiology, engineering, mathematics, and computer science holds
the promise to build much more robust and sophisticated algorithms
implemented in intelligent machines. The goal of this course is to help
produce a community of leaders that is equally knowledgeable in
neuroscience, cognitive science, and computer science and will lead the
development of true biologically inspired AI.



Set in the charming town of Woods Hole, there will be lectures and
tutorials by leaders in the field. In addition, students will be working on
cutting-edge projects with the help of faculty and teaching assistants.
This course aims to cross-educate computer engineers and neuroscientists;
it is appropriate for graduate students, postdocs, and faculty in computer
science and/or neuroscience. Students are expected to have a strong
background in one discipline (such as neurobiology, physics, engineering,
and mathematics).



The Center for Brains, Minds and Machines (CBMM)
<https://urldefense.proofpoint.com/v2/url?u=http-3A__cbmm.mit.edu_&d=DwMGaQ&c=qS4goWBT7poplM69zy_3xhKwEW14JZMSdioCoppxeFU&r=CjoPvXnpcDJ8H8uD5dcpNWzDAHpRk0df5I2452RVENrMq3lnGp6NzlT_WzrNJouC&m=-Osv0XnpEMa0aj6nvZ0zaRa24C2i3UiEW5kh6RROQgY&s=pl1z4teAatwUOCJewIcDXErQ1FklXo6AMPPnVhMvWZA&e=>
 [cbmm.mit.edu
<https://urldefense.proofpoint.com/v2/url?u=http-3A__cbmm.mit.edu_&d=DwMGaQ&c=qS4goWBT7poplM69zy_3xhKwEW14JZMSdioCoppxeFU&r=CjoPvXnpcDJ8H8uD5dcpNWzDAHpRk0df5I2452RVENrMq3lnGp6NzlT_WzrNJouC&m=-Osv0XnpEMa0aj6nvZ0zaRa24C2i3UiEW5kh6RROQgY&s=pl1z4teAatwUOCJewIcDXErQ1FklXo6AMPPnVhMvWZA&e=>]
will also be hosting an Evening Lecture Series, including speakers from
both industry and academia, in the fields of neuroscience, computer
science, and cognitive science.



Invited faculty include Larry Abbott, Dorin Comaniciu, Bob Desimone, Jim
DiCarlo, Winrich Freiwald, Sam Gershman, Asif Ghazanfar, Nancy Kanwisher,
Boris Katz, Christof Koch, Gabriel Kreiman, Jeff Lichtman, Marge
Livingstone, Josh McDermott, Tommy Poggio, Lorenzo Rosasco, Rebecca Saxe,
Haim Sompolinsky, Liz Spelke, Max Tegmark, Josh Tenenbaum, Shimon Ullman,
Matt Wilson, Patrick Winston, Jeremy Wolfe, among others.



-- 
Gabriel Kreiman
gkreiman at gmail.com
http://klab.tch.harvard.edu
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