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Data platforms and analytics

TaskWeaver: A code-first agent framework for efficient data analytics and domain adaptation

Garnet: an open-source, next-generation, faster cache-store for accelerating applications and services

GenAI for Industry - AI-generated image compilation of industrial blueprints from renewable energy to transporation and manufacturing

Injecting New Knowledge into Large Language Models via Supervised Fine-Tuning

Enhanced autoscaling with VASIM: Vertical Autoscaling Simulator Toolkit

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Published Date

Webinar

Discovering hidden connections in art with deep, interpretable visual analogies webinar

July 30, 2020 | Virtual/Online

Image retrieval systems allow individuals to find images that are semantically similar to a query image. This serves as the backbone of reverse image search engines and many product recommendation engines. Restricting an image retrieval…

Publication

Towards Plan-aware Resource Allocation in Serverless Query Processing

Malay Bag, Alekh Jindal, Hiren Patel

USENIX conference on Hot Topics in Cloud Ccomputing | July 2020

Project Project

Publication

Faster Graph Embeddings via Coarsening

Matthew Fahrbach, Gramoz Goranci, Sushant Sachdeva, Richard Peng, Chi Wang

International Conference on Machine Learning (ICML 2020) | July 2020

Project

Publication

Ease.ml/snoopy in Action: Towards Automatic Feasibility Analysis for Machine Learning Application Development

Cedric Renggli, Luka Rimanic, Luka Kolar, Wentao Wu, Ce Zhang

Proceedings of the VLDB Endowment (VLDB 2020) | July 2020

Publication

Helios: Hyperscale Indexing for the Cloud & Edge

Rahul Potharaju, Terry Kim, Wentao Wu, Vidip Acharya, Steve Suh, Andrew Fogarty, Apoorve Dave, Sinduja Ramanujam, Tomas Talius, Lev Novik, Raghu Ramakrishnan

Proceedings of the VLDB Endowment (VLDB 2020) | July 2020

Publication

Applying Machine Learning to End-to-end Slice SLA Decomposition

Michael Iannelli, Muntasir Raihan Rahman, Nakjung Choi, Le Wang

2020 6th IEEE Conference on Network Softwarization (NetSoft) | July 2020

Publication

Auto-Suggest: Learning-to-Recommend Data Preparation Steps Using Data Science Notebooks

Cong Yan, Yeye He

International Conference on Management of Data (SIGMOD) | June 2020

Project

Microsoft Research Blog

Microsoft Research EMEA and Latin America PhD Awards springboard new ideas across intercontinental research

June 24, 2020 | Clare Morgan

The 2020 EMEA and Latin America PhD Award recipients are undertaking research central to advancing today’s technology—training artificial agents to learn faster in new situations, designing new scalable machine learning algorithms for continual and federated…

collage of 2020 EMEA and LATAM PhD Award winners

Event

Microsoft at MobiSys 2020

June 15, 2020 – June 19, 2020 | Virtual/Online

Microsoft is proud to be a sponsor of the 18th ACM International Conference on Mobile Systems, Applications and Services (MobiSys). See all the ways we’re contributing to the event this year.

Publication

Using Mobility for Electrical Load Forecasting During the COVID-19 Pandemic

Yize Chen, Weiwei Yang, Baosen Zhang

June 2020

Project

Data platforms and analytics

Highlights