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A graphic illustrating that SynapseML unifies a variety of different ML frameworks (including LightGBM, Azure Cognitive Services, Deep Learning, reinforcement learning), scales (including single node, cluster, and serverless + elastic), paradigms (including batch, streaming, and serving), cloud data stores, and languages.
Microsoft Research Blog

SynapseML: A simple, multilingual, and massively parallel machine learning library 

November 17, 2021 | Mark Hamilton

Today, we’re excited to announce the release of SynapseML (previously MMLSpark), an open-source library that simplifies the creation of massively scalable machine learning (ML) pipelines. Building production-ready distributed ML pipelines can be difficult, even for the most seasoned developer. Composing…

Path up a mountain with a flag on top
Articles

Our journey to creating a customer-driven maturity model 

November 16, 2021

By Hilary Dwyer, Ph.D. Image credit: iStock My colleague Nancy Perry recently posted about how we’re driving a customer-driven mindset in our organization. Why are we focusing on this? We believe that a key piece of successful product making is…

Awards | NCBI

Soundscape wins Vision Award 2021 

November 16, 2021

The NCBI (National Council for the blind of Ireland) awarded the Microsoft Soundscape app the Visible Difference Industry award which recognizes exemplary contribution by a company or organization in creating an inclusive approach for people who are blind or vision…

forerunner
Articles

Forerunner: The First Many-Future Speculative Execution Technique 

November 15, 2021

SOSP is a top-tier bi-annual conference in the systems research area. In the recent SOSP 2021, researchers from MSR Asia, along with collaborators from Zhejiang University, presented a paper: “Forerunner: Constraint-Based Speculative Transaction Execution for Ethereum.” This technology is intellectually…

team_calibration
Articles

2022 Summer Internship 

November 15, 2021

We are thus particularly interested in candidates with experience in remote sensing or cross-training satellite-based models with ground-level measurement.

Articles

Ada Camp |读博那些事儿:如何对抗压力?在国内深造还是选择出国? 

November 10, 2021

编者按:如果你曾考虑过“以学术为业”,那么“攻读博士”一定在你的选择清单之中。是否要读博?在国内深造还是出国?我会遇到什么挑战?我能做好科研吗?这些问题也随之而来。对于习惯了学生身份却还未真正体验过科研生活的同学而言,过来人的经验一定能帮助你更好地做出选择。 在 Ada Camp 2021 中,微软亚洲研究院主管研究员曹婷、陈琪、邓攀从个人经历出发,分享了她们的读博故事。她们分别于海内外不同高校获...

In the news | Neowin

Microsoft shares more details about its Privacy Preserving Machine Learning initiative 

November 10, 2021

Ensuring customer privacy and maintaining their trust, at least on paper, has become a priority for many tech firms, especially since Facebook's Cambridge Analytica scandal back in 2018. Striking a balance between the privacy of individuals while showing them personalized content -…

data quality dimensions
Articles

Data Quality: Fundamental Building Blocks for Trustworthy A/B testing Analysis 

November 9, 2021

Introduction Data plays a vital role in the lifecycle of every single product in the technology industry. With data, we can generate insights to improve products and provide a superior customer experience. Yet insights are only actionable if they are derived from trustworthy data. For example, a navigation…

Graphic shows framework of Privacy Preserving Machine Learning
Microsoft Research Blog

Privacy Preserving Machine Learning: Maintaining confidentiality and preserving trust 

November 9, 2021 | Victor Ruehle, Robert Sim, Sergey Yekhanin, Nishanth Chandran, Melissa Chase, Daniel Jones, Kim Laine, Boris Köpf, Jaime Teevan, Jim Kleewein, and Saravan Rajmohan

Machine learning (ML) offers tremendous opportunities to increase productivity. However, ML systems are only as good as the quality of the data that informs the training of ML models. And training ML models requires a significant amount of data, more…

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