@GraySystemsLab
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Excited to share our insights and experience on building autonomous data services on Azure in the Industry Invited Papers Session! Join us on Wednesday (June 21) at 14:00-15:30 PST for 'Towards Building Autonomous Data Services on Azure.' #mlforsystem #azure #autonomousdatabase
Microsoft Gray Systems Lab retweeted
In #ML, we've tackled a major roadblock - training Random Forests on normalized #GPU databases, previously hindered by limited GPU memory. Our solution outperforms LightGBM, handling 50% more data & boosting performance by 2x. Catch more at #DAMON2023 #SIGMOD2023, June 19!
Microsoft Gray Systems Lab retweeted
Matteo Interlandi (Gray System Lab, Microsoft) will give a keynote on how databases and machine learning systems can benefit from each other sharing his experience from both industry and research. 2/6
Microsoft Gray Systems Lab retweeted
Hi everyone, our awesome PC Chairs,
@yytian and @ppietzuch have finalized the program committee and
have now opened the submission website on HotCRP (socc23.hotcrp.com).
The submission deadline in June 9th at 5PM EDT.
We look forward to your submissions!!
GSL will host NorCal DB Day at the Microsoft Silicon Valley Campus in Mountain View, on Thursday May 11, 2023. Here is the tentative schedule: microsoft.com/en-us/research…. We would like to invite you to this event. This is the registration form: forms.office.com/r/M3mvW1cB3….
Microsoft Gray Systems Lab retweeted
SoCC 2023 Call For Paper is out. We welcome research, industry, vision, and work-in-progress paper submissions. Paper deadline is Jun 9, 2023. acmsocc.org/2023/papers.html
Microsoft Gray Systems Lab retweeted
The deadline for VLDB 2023 industry paper is approaching soon! We welcome papers on all aspects of innovative commercial or industrial-strength data management systems and solutions, as well as novel real-world applications of data systems and experiences. vldb.org/2023/?call-for-indu…
We have multiple internship positions within our research group! If you are interested in working with us this summer, consider applying for any of the following job postings:
careers.microsoft.com/us/en/…
Microsoft Gray Systems Lab retweeted
Reminiscences on Influential Papers column features @yytian & Fatma Özcan at the latest issue of SIGMOD Record. They have been extremely influential mentors in my career, so it is wonderful to read their reminiscences.
sigmodrecord.org/2022/10/01/…
The latest issue of SIGMOD Record is just out! We have a nice medley of articles covering a wide variety of topics and interests. Check them out at sigmodrecord.org/sigmod-reco….
Microsoft Gray Systems Lab retweeted
Congratulations to the authors of the demonstration paper "Share the Tensor Tea: How Databases can Leverage the Machine Learning Ecosystem" for winning the "Best Demonstration Award"!
vldb.org/2022/?conference-aw…
#VLDB2022 #BestDemo #Awards
Microsoft Gray Systems Lab retweeted
@GraySystemsLab is hiring for research scientists and research engineers! We tackle interesting challenges in technologies related to Big Data, cloud, systems-for-ML and ML-for-systems. careers.microsoft.com/us/en/…
#hiring #bigdata #ml #research #cloud #engineers
Looking forward to an exciting @vldb2021 where GSL researchers and collaborators will present 4 research papers, 2 industry papers, 1 tutorial, 1 demo, 2 invited talks, and participate in 3 panel discussions.
Invited talks: @carlo_curino and @AlekhJindal will present applied aspects of AI/ML at @aidbworkshop and @ladsios respectively.
Panelists: @yytian will share her thoughts at #WomenInDatabases roundtable, @carlo_curino at #SystemsForML roundtable, and @AlekhJindal at the #Poly panel.
We are very excited to welcome new members to @GraySystemsLab @AzureData :
@jcamachor joins us from Cloudera. He is a PMC member of Apache Calcite, Apache Hive, Apache ORC, as well as a member of the Apache Software Foundation, and has extensive experience in query processing and optimization.
@yytian joins us from IBM Research. She has worked on graph analytics, SQL for Big Data, and large-scale machine learning, and is the recipient of the SIGMOD 2019 Research Highlight Award and EDBT 2018 Best Paper Award.