Connectionists: CFP: NIPS 2005 Workshop: Intelligence Beyond the Desktop
Mark A. Paskin
mark at paskin.org
Wed Aug 31 13:42:20 EDT 2005
################################################################
CALL FOR PARTICIPATION
Intelligence Beyond the Desktop
a workshop at the
2005 Neural Information Processing Systems
(NIPS) Conference
Submission deadline: Friday, October 14, 2005
http://ai.stanford.edu/~paskin/ibd05/
################################################################
OVERVIEW
We are now well past the era of the desktop computer. Trends towards
miniaturization, wireless communication, and increased sensing and
control capabilities have led to a variety of systems that distribute
computation, sensing, and controls across multiple devices. Examples
include wireless sensor networks, multi-robot systems, networks of
smartphones, and large area networks.
Machine learning problems in these non-traditional settings cannot
faithfully be viewed in terms of a data set and an objective function
to optimize; physical aspects of the system impose challenging new
constraints. Resources for computation and actuation may be limited
and distributed across many nodes, requiring significant
coordination; limited communication resources can make this
coordination expensive. The scale and complexity of these systems
often leads to large amounts of structured data that make state
estimation challenging. In addition, these systems often have other
constraints, such as limited power, or under-actuation, requiring
reasoning about the system itself during learning and control.
Furthermore, large-scale distributed systems are often unreliable,
requiring algorithms that are robust to failures and lossy
communication.
New learning, inference, and control algorithms that address these
challenges are required. This workshop aims to bring together
researchers to discuss new applications of machine learning in these
systems, the challenges that arise, and emerging solutions.
FORMAT
This one-day workshop will consist of invited talks and talks based
upon submitted abstracts, with some time set aside for discussion.
Our (tentative) invited speakers are:
* Dieter Fox (University of Washington)
* Leonidas Guibas (Stanford University)
* Sebastian Thrun, (Stanford University) will speak about the
machine learning algorithms used in Stanley, Stanford's entry into
the DARPA Grand Challenge.
CALL FOR PARTICIPATION
Researchers working at the interface between machine learning and non-
traditional computer architectures are invited to submit descriptions
of their research for presentation at the workshop. Of particular
relevance is research on the following topics:
* distributed sensing, computation, and/or control
* coordination
* robustness
* learning/inference/control under resource constraints (power,
computation, time, etc.)
* introspective machine learning (reasoning about the system
architecture in the context of learning/inference/control)
We especially encourage submissions that address unique challenges
posed by non-traditional architectures for computation, such as
* wireless sensor networks
* multi-robot systems
* large-area networks
Submissions should be extended abstracts in PDF format which are no
longer than three (3) pages long in 10pt or larger font. Submissions
may be e-mailed to ibd-2005 at cs.cmu.edu with the subject "IBD
SUBMISSION". We plan to accept four to six submissions for 25 minute
presentation slots. In your submission please indicate if you would
present a poster of your work (in case there are more qualified
submissions than speaking slots).
Call for participation: Wednesday, August 31, 2005
Submission deadline: Friday, October 14, 2005 11:59 PM PST
Acceptance notification: Tuesday, November 1, 2005
Workshop: Friday, December 9, 2005
Organizers
* Carlos Guestrin (http://www.cs.cmu.edu/~guestrin/)
* Mark Paskin (http://paskin.org)
Please direct any inquiries regarding the workshop to
ibd-2005 at cs.cmu.edu.
More information about the Connectionists
mailing list