Connectionists: Brains, Minds and Machines Summer Course - MBL Woods Hole, MA; Application deadline March 5, 2015

[Georgios Evangelopoulos]

The Center for Brains, Minds and Machines will be hosting the second
Brains, Minds and Machines Summer Course at the Marine Biological
Laboratory, in Woods Hole, MA.

http://cbmm.mit.edu/summer-school/2015

Brains, Minds and Machines
======================
Course Date: August 13 – September 3, 2015
Application Deadline: March 5, 2015
Online Application Form:
http://www.mbl.edu/education/special-topics-courses/brains-minds-and-machines/

Directors: Gabriel Kreiman, Harvard University; and Tomaso Poggio,
Massachusetts Institute of Technology (L. Mahadevan, Harvard University,
honorary director)

The problem 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 computation 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.

The first half of the course will focus on the intersection between
biological and computational aspects of learning and vision. The second
half will focus on high-level social cognition and artificial intelligence,
as well as audition, speech and language processing.


-- 
Georgios Evangelopoulos, Postdoctoral Fellow
Lab. Computational and Statistical Learning
Poggio Lab | Center for Brains, Minds and Machines (CBMM)
Massachusetts Institute of Technology
http://web.mit.edu/gevang/www/
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