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                              Call For Papers
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                        3rd International Workshop on 
          Applied AI for Database Systems and Applications (AIDB 2021)

                    https://sites.google.com/view/aidb2021
        Submission Site: https://cmt3.research.microsoft.com/AIDB2021

      Held with VLDB 2021, Friday, August 20, 2021, Copenhagen, Denmark
        


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                             Workshop Overview
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The workshop brings together researchers and practitioners from the 
database systems and the AI communities, with the goal of investigating 
new research opportunities in the design and implementation of database 
systems and applications with emerging AI technologies. 

Recent years have witnessed a widespread increase of interest in developing 
modern query processing and analytics systems for handling high volume, 
high velocity, and high variety data. To efficiently support various types 
of database applications, these systems must be well designed, implemented, 
maintained, and optimized to achieve optimal performance. Facing this 
challenge, database systems developers either leverage statistical methods 
or entirely rely on human experience to decide on the best possible 
implementation. In the meantime, the artificial intelligence community is 
experiencing a resurgence due to the emergence of new machine learning 
techniques (e.g. deep learning) and massively parallel processors (e.g., GPU). 
This resurgence inspired database researchers to apply emerging AI technologies 
to build advanced database systems and applications. Observing this trend, 
our workshop targets at offering the researchers and practitioners from both, 
the database systems and the AI communities, a unique chance for presenting 
their latest results in designing and implementing next-generation database 
systems and applications with AI support. Our workshop pays special attention 
to "AI for databases", and it attempts to advance database system development 
using AI technologies. The workshop also aims at exploring AI-powered mechanisms 
for developing the next generation database-backed applications.


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                   ********** Special Track **********
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AIDB 2021 is an open research venue for discussing anything related to AI and 
databases. This year, we especially welcome interesting submissions on "war 
stories" including, but are not limited to:

* negative/unstable/inconsistent results when applying AI in database systems,

* high compute/storage/labor cost when applying AI in database systems, and

* surprising experiences in tuning AI-based mechanisms.

If you have such stories and believe it's worth sharing them, please do consider 
making a submission!


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                            Topics of Interest
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The suggested topics of interest include, but are not restricted to:

* AI technologies, (e.g., deep learning, reinforcement learning, active learning)
* Autonomous database management systems
* AI-enhanced system components (e.g., optimizer, storage, indexes)
* AI-enhanced workload management and scheduling
* AI-enhanced resource provisioning and reclamation
* AI-enhanced fast data (e.g., streaming and time series) processing and analytics
* AI-enhanced database systems on new hardware
* AI-enhanced database systems in the cloud
* AI-enhanced  data exploration, discovery, and integration
* AI-enhanced database applications (e.g., healthcare, finance, surveillance)


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                               Important Dates
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* Paper submission: Friday, May 28th, 2021
* Notification of acceptance: Friday, June 25th, 2021
* Camera-ready submission: Friday, July 16th, 2021
* Workshop Date: Friday, August 20th, 2021


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                             Workshop Co-Chairs
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* Umar Farooq Minhas, Microsoft Research, ufminhas@microsoft.com
* Yingjun Wu, Singularity Data Inc., yingjunwu@singularity-data.com


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                             Steering Committee
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* Berthold Reinwald, IBM Almaden Research Center
* Bingsheng He, National University of Singapore


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                             Program Committees
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* Andreas Kipf, MIT
* Bailu Ding, Microsoft Research
* Calisto Zuzarte, IBM
* Carsten Binning, TU Darmstadt
* Huanchen Zhang, Tsinghua University
* Justin Gottschlich, Intel
* Lin Ma, CMU
* Niranjan Hasabnis, Intel
* Olga Papaemmanouil, Brandeis University
* Ryan Marcus, MIT
* Yao Lu, Microsoft Research