[dbjapan] [CFP] Call for Participation: AIMLSystems'21

[Ichiro IDE <ide [at] i.nagoya-u.ac.jp>]

DBSJの皆様，

井手＠名大です．

今年初めて開催されます，情報システムとAI＆MLに関する国際会議の開催
案内をお送りします．インドのバンガロールで開催されますが，海外から
はオンラインで比較的安い参加登録費でご参加いただけますので，お気軽
にご参加ください（ACMの会員には割引があります）．

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

            21 - 23 October 2021
              Bangalore, India

         https://www.aimlsystems.org/2021/

In-Cooperation With: ACM, ACM SIGKDD, ACM SIGMOD, ACM SIGAI
In-Cooperation With: MeitY
Patrons: MINRO, TCS Research, AMAZON, Prof. Ram Kumar Memorial Foundation, ZENTREE LABS
Technical Partner: TSDSI

==========================================================
AIMLSystems is a new conference targeting research at the intersection of Systems Engineering and Artificial Intelligence and Machine Learning techniques.

Through this conference, we plan to examine how immense strides in AI/ML techniques are made possible through advances in the computational systems and how the use of AI/ML can help in the data-driven explorations of the design space of the computational systems. We also investigate how new breeds of AI/ML systems enable new forms of socio-techno-economic systems and they, in turn generate new requirements for research in AI/ML techniques.

This conference series is an initiative of the COMSNETS Association, a not-for-profit society, which has organized the prestigious COMSNETS conference every year since 2009.

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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.)

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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
    Daniel Keller, Visable Labs GmbH, Germany
    Ananth Krishnan, TCS, India
    Rajeev Rastogi, Amazon Research, India

----------------------------
Panel Discussion
----------------------------
Panel 1:
Topic: Making algorithmic decision systems unbiased
Moderator: Y Narahari, IISc Bengaluru, India

Panel 2:
Topic: Machine intelligence and the next pandemic: Are we ready?
Moderator: Vijay Chandru, IISc Bengaluru, India

Panel 2:
Topic: AI in 2030: The Age of Autonomous Systems
Moderator: Vijay Gabale, Infilect Technologies, India

-----------------------------
Technical Sessions
-----------------------------

    Research Papers
    Industry Track
    Demos
    Doctoral Symposium
    Tutorials


CONFERENCE REGISTRATION IS OPEN
Register at: https://www.aimlsystems.org/2021/registration
--
■ 井手 一郎 					    ide [at] i.nagoya-u.ac.jp  ■
■ 名古屋大学 数理・データ科学教育研究センター 基盤教育部門		  ■
■ 	      ／大学院情報学研究科 知能システム学専攻			  ■
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