***
*** 1st ACM/IEEE Workshop on Machine Learning for CAD (MLCAD)
*** Sep 3+4 2019, Banff Area, Canada ***
*** http://mlcad.itec.kit.edu
***
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CALL for Abstracts / Participation
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The workshop focuses on Machine Learning (ML) methods for all aspects of
CAD and electronic system design. The predecessor of this workshop was
held at the Design, Automation and Test in Europe (DATE) Conference in
March 2019. The workshop is sponsored by both IEEE Council on Electronic
Design Automation (CEDA) and ACM Special Interest Group on De- sign
Automation (SIGDA). Around one third of the workshop program will
consist of invited and keynote speakers from major CAD and Industrial
Companies, who will present their vision on machine learning for CAD.
*** DATES ***
Abstract Submission: July 7, 2019
Author Notification: July 15, 2019
Registration Deadline: July 22, 2019
Workshop: September 3-4, 2019
Two Ways to Attend:
1. Presenter: Submit a half page abstract ~500 words incl. title and
authors and submit PDF to
https://easychair.org/conferences/?conf=mlcad2019. Accepted submissions
entitle to a talk at the workshop and a full paper submission to the 1st
ACM/IEEE Workshop on MLCAD post workshop proceedings (for full info
check mlcad.itec.kit.edu).
2. Attendee: We encourage senior researchers as well as PhD students to
be part of this first workshop. Participation is limited to maintain the
creative open discussion atmosphere of the workshop. Registration
deadline is July 22nd 2019. Registration will be handled on a
first-come, first-serve basis.
Post-Workshop ACM/IEEE Proceedings
Formal shared ACM/IEEE proceedings will be published after the workshop.
All speakers are invited to submit full papers about two months after
the workshop.
Venue
MLCAD 2019 is held at the Solara Resort & Spa, which is located in
Canmore, (Banff area), Alberta, Canada. The location is near to the
Canadian Rocky Mountains and the beautiful Banff National Park of
Canada. The location is reachable with flights to Calgary International
Airport (YYC), which is about one hour drive away.
More info: http://mlcad.itec.kit.edu
General Chairs
Marilyn Wolf, Georgia Institute of Technology
Jörg Henkel, Karlsruhe Institute of Technology
Industry Chairs
Ulf Schlichtmann, TU Munich
Paul Franzon, North Carolina State U.
Program Chairs
Hussam Amrouch, Karlsruhe Institute of Technology
Bei Yu, Chinese University of Hong Kong
Finance Chair
Hai Li, Duke University
Contact: [log in to unmask]
http://mlcad.itec.kit.edu
SPONSORS: ACM SIGDA, IEEE CEDA
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