[dbjapan] 国際会議AIMLSystems 2021（投稿締切６月２０日．6ページ）

[Masatoshi Yoshikawa <yoshikawa.masatoshi.5w [at] kyoto-u.ac.jp>]

dbjapanの皆様

10月に開催される新たな国際会議AIMLSystems 2021をご案内します．

Research Trackの論文投稿締切は６月２０日．ページ制限は6ページです．
投稿をご検討下さい．

豪華なキーノートスピーカーが予定されています．
------------------------------------------
Research Keynote Speakers
------------------------------------------
Sang Cha, SNU, Korea
Juliana Freire, NYU Tandon School of Engineering, USA
Johannes Gehrke, Microsoft Research, USA
Sergei Kuznetsov, HSE University, Moscow, Russia
Geoff Webb, Monash University, Australia
Gerhard Weikum, Max-Planck-Institut für Informatik, Germany

----------------------------------------------------------
Industrial Insights Keynote Speakers
---------------------------------------------------------
Anand Deshpande, Persistent Systems, India
Ananth Krishnan, TCS, India
Rajeev Rastogi, Amazon Research, India


なぜまた新しいAI/ML国際会議か？については，以下の文をご覧下さい．
     Through this annual conference, we are aiming to cover the
     whitespace at the intersection of data-intensive AI/ML techniques
     and systems engineering. We also aspire to become the leading
     forum for sharing practical experiences from building and
     deploying AI/ML systems in the socio-economic spheres such as
     public healthcare and security.


吉川正俊




==========================================================
      AIMLSystems 2021:
     The 1st International Conference on AI-ML-Systems
            (An Initiative of the COMSNETS Association)

    21 - 23 October 2021
      Bangalore, India

     https://www.aimlsystems.org/2021/
    https://cmt3.research.microsoft.com/AIMLSystems2021/
==========================================================

AIMLSystems is a brand new conference targeting research in the
intersection of AI/ML techniques and systems engineering. Through this
conference we plan to bring out and highlight the natural connections
between these two fields. Specifically we explore how immense strides
in AI/ML techniques are made possible through computational systems
research (e.g., improvements in CPU/GPU architectures, data-intensive
infrastructure, communications etc.),  how the use of AI/ML can help
in the continuous and workload-driven design space exploration of
computational systems (e.g., self-tuning databases, learning compiler
optimizers, learnable network systems etc.) and, the use of AI/ML in
the design of socio-economic systems such as public healthcare, and
security.  The goal is to bring together these diverse communities and
elicit connections between them.

The conference is planned to be held in hybrid mode allowing both
online and in-person participation.

Contributions are invited under Research, Industry & Applications, and
Demonstration Tracks of the conference. Authors are encouraged to
submit previously unpublished research at the intersection of
computational / socio-economic systems and AI/ML.

-------------------
Topics of Interest
-------------------
The areas of interest are broadly categorized into the following three 
streams:

* Systems for AI/ML (e.g., CPU/GPU architectures for AI/ML; Embedded
  hardware for AI/ML workloads; Data intensive systems for efficient
  and distributed training; Challenges in production deployment of ML
  systems; Efficient model training, optimization and inference;
  Hardware efficient ML methods; Resource-constrained ML; etc.)
* AI/ML for Systems (e.g., AI/ML for VLSI and architecture design;
  AI/ML in compiler optimization; AI/ML in data management - including
  database optimizations, virtualization, etc.; AI/ML for networks -
  design of networks, load modeling, etc.; AI/ML for power management
  - green computing, power models, etc.)
* Applications of AI/ML in Socio-Economic Systems Design (e.g.,
  Computational design and analysis of socio-economic systems; Fair
  and bias-free systems for social welfare, business platforms;
  Applications of AI/ML in the design, short-/long-term analysis of
  cyber-physical systems; Mechanism design for socio-economic systems;
  Applications of AI/ML in financial systems; etc.)

------------
Key Dates
------------
Papers are invited under different tracks, with deadlines starting
from mid-June, 2021. Authors are requested to visit the website for
individual track deadlines.

-----------------
Paper Submissions
-----------------
Research papers must not exceed 6 pages, including any appendix and
bibliography. Only electronic submissions in PDF format will be
considered. Page limits and formatting instructions for all remaining
tracks will be announced on the conference website. Paper review will
follow single-blind policy.

The manuscripts can be submitted in PDF, formatted using ACM sigconf
style through https://cmt3.research.microsoft.com/AIMLSystems2021

Papers can be submitted under any of the three main topics listed
above. A number of papers accepted under each topic are not capped. We
will accept all papers that meet the high quality and innovation
levels required by the AIMLSystems conference. All papers that are
accepted will appear in the proceedings.

All accepted papers will be presented as posters at AIMLSystems 2021,
but a select subset of them will be given a “conventional” (oral)
presentation slot during the conference. However, all accepted papers
will be treated equally in the conference proceedings, which are the
persistent, archival record of the conference.

-----------------
Dual Submission Policy
-----------------
A paper submitted to AIMLSystems can not be under review at any other
conference or journal during the entire time it is considered for
review at AIMLSystems, and it must be substantially different from any
previously published work or any work under review. After submission
and during the review period, submissions to AIMLSystems must not be
submitted to other conferences/journals for consideration. However,
authors may publish at non-archival venues, such as workshops without
proceedings, or as technical reports (including arXiv).

-----------------
Ethics
-----------------
* Plagiarism Policy: Submission of papers to AIMLSystems 2021 carries
with it the implied agreement that the paper represents original
work. We will follow the ACM Policy on Plagiarism, Misrepresentation,
and Falsification -- see
https://www.acm.org/publications/policies/plagiarism-overview.

  All submitted papers will be subjected to a "similarity
  test". Papers achieving a high similarity score will be examined and
  those that are deemed unacceptable will be rejected without a formal
  review. Conference organizers also reserve the right to report such
  unacceptable submissions to the superiors of each of the authors.

* Author Participation: Submission of papers to AIMLSystems 2021 also
  carries with it the implied agreement that one or more of the listed
  authors will register for and attend the conference and present the
  paper. Papers not presented at the conference will not be included
  in the final program or in the digital proceedings. Therefore,
  authors are strongly encouraged to plan accordingly before deciding
  to submit a paper.

------------------------------------------
Research Keynote Speakers
------------------------------------------

Sang Cha, SNU, Korea
Juliana Freire, NYU Tandon School of Engineering, USA
Johannes Gehrke, Microsoft Research, USA
Sergei Kuznetsov, HSE University, Moscow, Russia
Geoff Webb, Monash University, Australia
Gerhard Weikum, Max-Planck-Institut für Informatik, Germany


----------------------------------------------------------
Industrial Insights Keynote Speakers
---------------------------------------------------------

Anand Deshpande, Persistent Systems, India
Ananth Krishnan, TCS, India
Rajeev Rastogi, Amazon Research, India


----------------------------------------------------------
Conference Chairs & Contact Information
---------------------------------------------------------
General Chairs:
   * Rakesh Agrawal (Data Insights Laboratories, USA)
   * Pushpak Bhattacharyya (IIT Bombay, India)
   * Masatoshi Yoshikawa (Kyoto University, Japan)

PC Chairs:
   * Srikanta Bedathur (IIT Delhi, India)
   * Manoj Chinnakotla (Microsoft AI and Research, USA)
   * Ioana Manolescu (Inria Saclay Île-de-France and Institut
   Polytechnique de Paris, France)

For information about individual tracks, please contact the respective
Track chairs (information on the website)
For general inquiries: aimlsys.conference [at] gmail.com


--
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Masatoshi Yoshikawa
 Department of Social Informatics
 Graduate School of Informatics
 Kyoto University
 Yoshida-Honmachi, Sakyo,
 Kyoto 606-8501, JAPAN
 (#502, Science Frontier Laboratory,
  Medical Campus, Kyoto University)
 phone:  +81(75)753-5975
 mobile: +81 80 3506 5355
 fax:    +81(75)753-4970
 e-mail: yoshikawa [at] i.kyoto-u.ac.jp
o-----o---o--o-o-oo
吉川 正俊
 京都大学大学院 情報学研究科
 社会情報学専攻
 〒606-8501 京都市左京区吉田本町
 （医学部構内先端科学研究棟502）
 電話:     (075)753-5975
 携帯:     080 3506 5355
 ファクス: (075)753-4970
 メール: yoshikawa [at] i.kyoto-u.ac.jp
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