Copy Link
Add to Bookmark
Report
AIList Digest Volume 8 Issue 045
AIList Digest Saturday, 13 Aug 1988 Volume 8 : Issue 45
Announcements:
NSF Robotics and Machine Intelligence Funding
NSF-DARPA Program in Image Understanding and Speech Recognition
Announcement of new Journal on Data and Knowledge Engineering
Neural Computation
----------------------------------------------------------------------
Date: Mon, 08 Aug 88 09:16:26 -0400
From: "Kenneth I. Laws" <klaws@note.nsf.gov>
Subject: NSF Robotics and Machine Intelligence Funding
I am now back on the network, after having a month at NSF to
learn my new job. (The hardest part was growing an extra finger
on my left hand to accomodate an IBM PC's keyboard. I can now
hit the shift key almost evey time, and the control key better
than seven times out of ten.)
My new address is
Kenneth I. Laws
Director, Robotics & Machine Intelligence
National Science Foundation
1800 G St. NW, Room 310
Washington, DC 20550
I intend to conduct as much business as possible over the net,
but, if you must call, the number is (202) 357-9586. My Bitnet
address is klaws@nsf; Arpanet/Internet klaws@note.nsf.gov.
The ampersand in Robotics & Machine Intelligence can be taken as
a union or an intersection. Many of the current grants are for
computer vision; a few are for robotic control. I am
funding some work in acoustic analysis, prosody, and other
aspects of speech recognition. I also support research on
architecture-related algorithms for vision and AI, since robots
have to deal with the world in real time. The research that I
most want to encourage, however, is that which will add
intelligence to the golem. NSF has other programs that include
AI, NL, interactive systems, expert systems, and man/machine
interfaces, as well as manufacturing, control theory, cognitive
modeling, etc., but my program is the one most focused on AI
interacting with the real world.
I have a subprogram on Automated Reasoning and Problem Solving
that includes many traditional AI topics: knowledge
representation, intelligent databases, heuristic search,
constraint satisfaction, commonsense reasoning, theorem proving,
problem solving, hierarchical reasoning, fuzzy logic, approximate
reasoning, automated design, analogical reasoning, decision
theory, evidential reasoning, machine learning, concept inference,
etc. Other parts of my program include neural networks,
parameter nets, distributed systems, connectionist expert
systems, and genetic algorithms. AI work with an analog,
perceptual, or applied flavor is likely to end up in my program,
although other NSF program directors do share these interests.
The available funds can only cover the very best proposals in
so broad a field. I hope to fund a large number of small grants
rather than a few large ones, so tailor your requests
accordingly. I will also be asking sharp questions about
"Where's the Science?" and "If this pays off, who will benefit?".
I'm charged with supporting the scientific infrastructure,
and will give top priority to research that could open new areas
of study, transfer promising techniques to new labs, or close out
an unproductive (but seductive) approach.
I am also likely to favor proposals that are crisply and concisely
written, although the peer review system can occassionally uncover
merit in proposals full of equations and jargon. (Thanks, all
you volunteers!) Keep in mind that I can't approve your grant
unless you convince me that the scientific community needs the
work done and that you are capable of doing it. The burden is
on the author!
Even if you win a grant, it is unlikely to support you
continuously for any lengthy period of time. Our grants are to
fund specific research efforts, not specific researchers or
laboratories. (You may want to contact me before writing a
proposal, in order to tailor your pitch to the current needs of
the RMI program.) The review-and-action cycle takes six to nine
months -- sometimes longer -- and there are no guarantees until
the day you get the award letter. We can provide some continuity
via multiyear "continuing grants", but I would like to reduce the
number of such grants being made by my program.
You can write to me if you would like more information about my
program or the submission of NSF proposals. You may also want to
check with your local grants officer, who can identify the
sections of our somewhat daunting literature that apply to your
situation. (We have several types of grants, and sending for all
the literature may get you more than you want to know.) The
actual submission requirements are fairly minor: 15 copies of
a cover sheet, budget, and your proposal. Short proposals probably
get fastest consideration by reviewers.
See also the following announcement of a joint NSF/DARPA
program in Image Understanding and Speech Recognition, designed
for team efforts and somewhat larger awards than I can manage
from my regular program.
-- Ken Laws
------------------------------
Date: Mon, 08 Aug 88 10:47:06 -0400
From: "Kenneth I. Laws" <klaws@note.nsf.gov>
Subject: NSF-DARPA Program in Image Understanding and Speech
Recognition
NSF and DARPA are initiating joint support of research in AI,
beginning with Image Understanding and Speech Recognition. This
year's proposals should be submitted to NSF by November 1, 1988.
Announcements will be distributed through all the usual NSF and
DARPA channels, but you can contact me if you want to be sure of
receiving a copy.
This program is designed to support interdisciplinary,
experimental team research with potential for transfer to
industry or other national use. Institutions outside the current
NSF and DARPA programs are particularly encouraged to apply.
Initial screening will be done through NSF peer review, with a
joint panel selecting the final grantees. Funding of up to
$350,000 per year for three years may be available.
Technical inquiries may be made to any of the following:
NSF - Dr. Kenneth I. Laws; Division of Information, Robotics,
and Intelligent Systems; 1800 G St. NW, Room 310;
Washington, DC 20550; (202) 357-9586.
DARPA - IU: Lt. Col. Robert L. Simpson, Jr., Ph.D.;
(202) 694-4002.
SR: Dr. J. Allen Sears; (202) 694-5921.
Submission requirements for this program (NSF-DARPA Initiative,
IRIS/CISE) are described in the standard NSF grant publications.
The announcement sheet will list relevant publications in
somewhat more detail.
-- Ken Laws
klaws@note.nsf.gov
klaws@nsf.bitnet
------------------------------
Date: Tue, 9 Aug 88 19:01:09 EDT
From: Benjamin W. Wah <bwah@large.CISE.NSF.GOV>
Subject: Announcement of new Journal on Data and Knowledge Engineering
ANNOUNCING THE NEW IEEE TRANSACTIONS
ON KNOWLEDGE AND DATA ENGINEERING
AIM
The new Transactions on Knowledge and Data Engineering aims
to provide an international and interdisciplinary forum to pub-
lish results on the research, design, and development of
knowledge and data engineering methodologies, strategies and
systems.
FOCUS
This Transactions will focus on knowledge and data
engineering. The key technical issues it will address are
related to (a) the acquisition and management of knowledge and
data in the development and utilization of information systems;
(b) strategies to capture and store new knowledge and data; (c)
methods to lessen the burden of software and hardware develop-
ment and maintenance; (d) mechanisms to provide system modeling,
design, access, and security and integrity control; (e) archi-
tectures, systems, and components to provide knowledge and data
services within centralized and distributed information systems;
(f) designs to provide increased intelligence and ease of use
through speech, voice, graphics, images and documents; (g) tech-
niques to provide improved overall functions and performance to
meet new social needs; and (h) the development of ways to pro-
long the useful life of knowledge and data and its graceful
degradation.
SOME PERTINENT AREAS TO BE COVERED
(a) Knowledge and data engineering aspects of knowledge based
and expert systems
(b) Artificial Intelligence techniques relating to knowledge
and data management
(c) Knowledge and data engineering tools and techniques
(d) Parallel and distributed knowledge base and database
processing
(e) Real-time knowledge bases and databases
(f) Architectures for knowledge and data based systems
(g) Data management methodologies
(h) Database design and modeling
(i) Query, design, and implementation languages
(j) Integrity, security, and fault tolerance
(k) Distributed database control
(l) Statistical databases
(m) System integration and modeling of data and knowledge
engineering systems
(n) Algorithms for data and knowledge management
(o) Performance evaluation of data and knowledge engineering
algorithms
(p) Data communications aspects of data and knowledge
engineering systems
(q) Applications of data and knowledge engineering systems
(r) Experience in knowledge and data engineering
FREQUENCY OF PUBLICATION
Quarterly. The first issue is scheduled to appear in March
1989.
SUBSCRIBERS
Researchers, developers, managers, strategic planners,
users, and others interested in state-of-the-art and state-of-
the-practice activities in the knowledge and data engineering
area.
ARTICLE SELECTION PROCEDURES
This new periodical is at the Transactions level. The
selection of articles for publication will follow the guidelines
used by other IEEE Computer Society Transactions, such as the
IEEE Transactions on Software Engineering and the IEEE Transac-
tions on Computers. A minimum of three reviews will be required
for a decision to be made on each submitted or solicited paper.
TYPE OF ARTICLES PUBLISHED
The proposed periodical is a Transactions intended to pub-
lish original results in research and development in areas
relevant to knowledge and data engineering.
Papers that can be submitted for consideration include
those that have not previously been published in another jour-
nal, or are not currently being published, as well as those that
have been published in Conference Proceedings, Digests, and
Records and that have undergone substantial revision. Invited
papers from leading authorities in the knowledge and data
engineering area will also be published.
Three types of papers will be published:
(1) Regular technical articles (25-35 double spaced pages,
including figures, tables, and references): (a) papers with
extensive original results and (b) in-depth surveys, which
contribute to the understanding and advances in the
knowledge and data engineering area;
(2) Concise short articles (maximum 12 double spaced pages):
papers with results that are important and original and are
presented in a concise form;
(3) Correspondence articles (maximum 3 double spaced pages):
comments on previously published articles, short extensions
to current results, critiques on previous results, responses
from authors, and corrections to previously published arti-
cles.
An effort will be made to shorten the turnaround time for con-
cise papers and correspondence articles.
GUIDELINES FOR SUBMITTING PAPERS AND PROPOSALS ON SPECIAL ISSUES
(1) For invited papers and proposals for special issues, send 6
copies to
C. V. Ramamoorthy, Editor-in-Chief
Computer Science Division
University of California, Berkeley
Berkeley, CA 94720
ram@ernie.berkeley.edu
(2) For all other submissions, including regular articles, con-
cise articles, and correspondence articles, send 6 copies of
manuscript, complete with illustrations, abstract, and index
terms, to
Benjamin W. Wah, Associate Editor-in-Chief
Coordinated Science Laboratory
University of Illinois at Urbana-Champaign
1101 West Springfield Avenue
Urbana, IL 61801
(217) 333-3516, (217) 244-7175
wah%aquinas@uxc.cso.uiuc.edu
IEEE copyright transfer form and similar guidelines for sub-
missions can be found in the January 1988 issue of IEEE
Transactions on Software Engineering.
FURTHER INFORMATION
Any questions regarding the journal can be directed to either
the Editor-in-Chief or the Associate Editor-in-Chief.
------------------------------
Date: Thu, 11 Aug 88 17:41:04 edt
From: terry@cs.jhu.edu (Terry Sejnowski <terry@cs.jhu.edu>)
Subject: Neural Computation
Announcement and
Call for Papers
NEURAL COMPUTATION
First Issue: Spring 1989
Editor-in-Chief
Terrence Sejnowski
The Salk Institute and
The University of California at San Diego
Neural Computation will provide a unique interdisciplinary forum
for the dissemination of important research results and for
reviews of research areas in neural computation.
Neural computation is a rapidly growing field that is attracting
researchers in neuroscience, psychology, physics, mathematics,
electrical engineering, computer science, and artificial
intelligence. Researchers within these disciplines address,
from special perspectives, the twin scientific and engineering
challenges of understanding the brain and building computers.
The journal serves to bring together work from various
application areas, highlighting common problems and techniques
in modeling the brain and in the design and construction of
neurally-inspired information processing systems.
By publishing timely short communications and research reviews,
Neural Computation will allow researchers easy access to
information on important advances and will provide a valuable
overview of the broad range of work contributing to neural
computation. The journal will not accept long research
articles.
The fields covered include neuroscience, computer science,
artificial intelligence, mathematics, physics, psychology,
linguistics, adaptive systems, vision, speech, robotics, optical
computing, and VLSI.
Neural Computation is published quarterly by The MIT Press.
Board of Editors
Editor-in-Chief: Terrence Sejnowski, The Salk Institute and
The University of California at San Diego
Advisory Board:
Shun-ichi Amari, University of Tokyo, Japan
Michael Arbib, University of Southern California
Jean-Pierre Changeux, Institut Pasteur, France
Leon Cooper, Brown University
Jack Cowan, University of Chicago
Jerome Feldman, University of Rochester
Teuovo Kohonen, University of Helsinki, Finland
Carver Mead, California Institute of Technology
Tomaso Poggio, Massachusetts Institute of Technology
Wilfrid Rall, National Institutes of Health
Werner Reichardt, Max-Planck-Institut fur Biologische Kybernetik
David A. Robinson, Johns Hopkins University
David Rumelhart, Stanford University
Bernard Widrow, Stanford University
Action Editors:
Joshua Alspector, Bell Communications Research
Richard Andersen, MIT
James Anderson, Brown University
Dana Ballard, University of Rochester
Harry Barrow, University of Sussex
Andrew Barto, University of Massachusetts
Gail Carpenter, Northeastern University
Gary Dell, University of Rochester
Gerard Dreyfus, Paris, France
Jeffrey Elman, University of California at San Diego
Nabil Farhat, University of Pennsylvania
Francois Fogelman-Soulie, Paris, France
Peter Getting, University of Iowa
Ellen Hildreth, Massachusetts Institute of Technology
Geoffrey Hinton, University of Toronto, Canada
Bernardo Huberman, Xerox, Palo Alto
Lawrence Jackel, AT&T Bell Laboratories
Scott Kirkpatrick, IBM Yorktown Heights
Christof Koch, California Institute of Technology
Richard Lippmann, Lincoln Laboratories
Stephen Lisberger, University of California San Francisco
James McClelland, Carnegie-Mellon University
Graeme Mitchison, Cambridge University, England
David Mumford, Harvard University
Erkki Oja, Kuopio, Finland
Andras Pellionisz, New York University
Demetri Psaltis, California Institute of Technology
Idan Segev, The Hebrew University
Gordon Shepherd, Yale University
Vincent Torre, Universita di Genova, Italy
David Touretzky, Carnegie-Mellon University
Roger Traub, IBM Yorktown Heights
Les Valiant, Harvard University
Christoph von der Malsburg, University of Southern California
David Willshaw, Edinburgh, Scotland
John Wyatt, Massachusetts Institute of Technology
Steven Zucker, McGill University, Canada
Instructions to Authors
The journal will consider short communications, having no more
than 2000 words of text, 4 figures, and 10 citations; and area
reviews which summarize significant advances in a broad area of
research, with up to 5000 words of text, 8 figures, and 100
citations. The journal will accept one-page summaries for
proposed reviews to be considered for solicitation.
All papers should be submitted to the editor-in-chief. Authors
may recommend one or more of the action editors. Accepted
papers will appear with the name of the action aditor that
communicated the paper.
Before January 1, 1989, please address submissions to:
Dr. Terrence Sejnowski
Biophysics Department
Johns Hopkins University
Baltimore, MD 21218
After January 1, 1989, please address submissions to:
Dr. Terrence Sejnowski
The Salk Institute
P.O. Box 85800
San Diego, CA 92138
Subscription Information
Neural Computation
Annual subscription price (four issues):
$90.00 institution
$45.00 individual
(add $9.00 surface mail or $17.00 airmail postage
outside U.S. and Canada)
Available from:
MIT Press Journals
55 Hayward Street
Cambridge, MA 02142
USA
617-253-2889
------------------------------
End of AIList Digest
********************
