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CBMM Summer 2015 Course at MBL, Woods Hole MA
Brains, Minds and Machines
The Marine Biological Laboratory, Woods Hole, MA
Course Date: August 13 – September 3, 2015
Deadline: March 16, 2015* .
*Please note that registration is now closed.
Directors: Gabriel Kreiman, Harvard University; and Tomaso Poggio, Massachusetts Institute of Technology (L. Mahadevan, honorary director)
Click here to see course schedule (updated Aug. 20, 2015.>
Click here to see the project list.>
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.
CBMM 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. Speakers include:
Larry Abbott, Columbia University College of Physicians and Surgeons
Dorin Comaniciu, Siemens Corporate Technology
Demis Hassabis, DeepMind
Tom Mitchell, Carnegie Mellon University
Amnon Shashua, The Hebrew University of Jerusalem, Mobileye, OrCam
Eero Simoncelli, Howard Hughes Medical Institute, New York University
Click here for more event information >
Summer course: Neurotechnologies for Analysis of Neural Dynamics
Princeton Neuroscience Institute will be hosting a summer course which might be of interest to the CBMM community:
New intensive summer course: Neurotechnologies for Analysis of Neural Dynamics
Directors: David W. Tank and Michael Berry, Princeton University,
Dates: June 15 – July 12, 2015
Online Application Form and Course Schedule: NAND.princeton.edu
Application Deadline: February 1, 2015
Course website: http://nand.princeton.edu/
This course is designed to emphasize the major ways that scientists trained in the physical and information sciences contribute to the advance of neuroscience. It will introduce students with quantitative training in the physical sciences, mathematics or engineering to the concepts and research methodologies of modern neuroscience. Topics covered will range from cellular biophysics to systems neuroscience, including particularly imaging methods for the study of single neurons, networks of neurons and human brain dynamics during execution of behavioral computations. The course will be unique in its focus on neural dynamics at several scales of complexity – cells, circuits, intact brains – and the combination of didactic lectures and laboratory exercises, including cellular biophysics, synaptic interactions and plasticity in neuronal networks, and fMRI imaging of targeted brain regions in human subjects. The course includes substantive instruction in neurotechnologies, ranging from large-scale multi-electrode and optical recording, optogenetic stimulation and mathematical analysis of neural dynamics within the datasets produced by these methods. The capstone of this course will be one-week student-designed research projects integrating concepts and methodologies encountered during the initial formal lectures and laboratory exercises.
Workshop on Learning Theory, Dec. 18-20, 2014, Montevideo, Uruguay
December, 18-20, 2014
Montevideo, Uruguay
The workshop is part of the triennial Conference on Foundations of Computational Mathematics (FoCM’14) organized by the Society for Foundations of Computational Mathematics hosted by the Universidad de la Republica in Montevideo, Uruguay.
The goal of the workshop is to investigate the mathematical foundation of learning theory. The meeting will gather experts to discuss current and future challenges in the field.
The workshop is organized by Tomaso Poggio and Lorenzo Rosasco.
Click here to visit event website.
Participants
Peter Bartlett (University of California, Berkeley)
Misha Belkin (Ohio State University, Columbus)
Peter Binev (University of South Carolina)
Frédéric Chazal (Institut National de Recherche en Informatique et en Automatique)
Marco Cuturi (Kyoto University)
Franz Kiraly (University College London)
Ankur Moitra (Massachusetts Institute of Technology)
Robert Nowak (University of Wisconsin)
Francesco Orabona (Yahoo! Labs, NY)
Tomaso Poggio (Massachusetts Institute of Technology)
Sasha Rakhlin (University of Pennsylvania, The Wharton School)
Ben Recht (University of California, Berkeley)
Lorenzo Rosasco (MIT, University of Genova and Istituto Italiano di Tecnologia)
Guillermo Sapiro (Duke University)
Ingo Steinwart (Institut für Stochastik und Anwendungen)
Ryota Tomioka ( Toyota Technological Institute at Chicago)
Silvia Villa (Istituto Italiano di Tecnologia, Genova)
Organization
Lorenzo Rosasco
DIBRIS, Università degli Studi di Genova, Italy and
Laboratory for Computational and Statistical Learning
Istituto Italiano di Tecnologia ‒ Massachusetts Institute of Technology
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