For decades, databases have supported declarative SQL as well as imperative functions and procedures as ways for users to express data processing tasks. While the evaluation of declarative SQL has received a lot of attention resulting in highly sophisticated techniques, improvements in the efficient evaluation…
For decades, causal inference methods have found wide applicability in the social and biomedical sciences. As computing systems start intervening in our work and daily lives, questions of cause-and-effect are gaining importance in computer science as well. To enable widespread use of causal inference, we…
The Microsoft Research Outreach team has worked extensively with the external research community to enable adoption of cloud-based research infrastructure over the past few years. Through this process, we experienced the ubiquity of Jim Gray’s fourth paradigm of discovery based on data-intensive science – that…
In this post, we introduce how to use transfer learning to address label noise for large-scale image classification tasks. We’ll avoid describing the approach using too much math. If you are interested in the deeper theory behind this approach, please refer to our paper, “CleanNet:…
At SIGMOD 2018, a team from Microsoft Research will be presenting a new embedded key-value store called FASTER, described in their paper “FASTER: A Concurrent Key-Value Store with In-Place Updates”. As its name suggests, FASTER makes a major leap forward in terms of supporting fast…
The Microsoft Research PhD Scholarship Programme in EMEA awards scholarships to fund the most promising and groundbreaking computer science research by PhD students across Europe, the Middle East, and Africa. We are extremely proud today to highlight some of the selected projects for 2018.
In a recent collaboration, Microsoft and China’s Tsinghua University released an academic graph, named Open Academic Graph (OAG). This billion-scale academic graph integrates the current Microsoft Academic Graph (MAG) and Tsinghua's AMiner academic graph. Specifically, it contains the metadata information of 155 million academic paper…
Humans play an indispensable role in many modern AI-enabled services – not just as consumers of the service, but as the actual intelligence behind the artificial intelligence. From news portals to e-commerce websites, it is people’s ratings, clicks, and other interactions which provide a teaching…
At the ACM Conference on Web Search and Data Mining 2018, my team will introduce research that, for the first time, provides a theoretical explanation of popular methods used to automatically map the structure and characteristics of networks, known as network embedding. We then use…
Class of 2018-19 PhD fellows to push frontiers of AI By Sandy Blyth A graduate student working on technology that leverages human brain signals to accelerate robot learning and another student who is developing models of human conversations that capture what is explicitly communicated and…
Reasoning about figures Almost every scientific publication is accompanied by data visualizations in the form of graphs and charts. Figures are an intuitive aid for understanding the content of documents, so naturally, it is useful to leverage this visual information for machine reading comprehension. To enable…
By Vani Mandava, Director, Data Science Outreach, Microsoft Research The National Science Foundation (NSF)-supported Big Data Innovation Hubs launched a National Transportation Data Challenge with a kickoff event in Seattle in May 2017. Microsoft Outreach, through its partnership with the Big Data Hubs organized an…
