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Microsoft News Center
Eric Horvitz, managing co-director of Microsoft Research Redmond, discusses the computing advances on the horizon, the influence they will have, and how insights from big data and smarter software will change the world.
News details
Date: 15 February 2013
Type: Headline
Six Provocations for Big DataWith big data come big responsibilities, specifically in the realm of social media. There is a hint an emergence of a philosophy that big data is all one needs and that other scientific methods and disciplines are becoming outdated and unimportant. But big data can be incomplete because of how fragile data sources such as the Internet can be. Different social behaviors can be mapped but not necessarily compared because of the social channels being used. For example, a relative to whom one is close might...
Video details
Date: 27 September 2011
Duration: 00:12:38
Collection: 20th Anniversary Lecture Series
Publisher: Microsoft
Fortune
A new research lab in the heart of New York City is tasked with parsing the next big thing in technology.
News details
Date: 20 August 2012
Type: Headline
Microsoft Research Connections Blog
Big data has become a key topic for scientists, researchers, and technologists, as became obvious to those attending Microsoft Research's 2012 eScience Workshop.
News details
Date: 8 October 2012
Type: Headline
It has become increasingly difficult to process information from the vast amount of data collected and stored in different computer systems all around us. The main challenge is how to design distributed and scalable algorithms and systems to extract useful information from this large quantity of data. The goal of this project is to address various questions related to distributed and scalable processing of big data.
Project details
Labs: Cambridge
Inside Microsoft Research
Kate Crawford, principal researcher at Microsoft Research New England, has contributed an article to the Harvard Business Review entitled The Hidden Biases in Big Data.
News details
Date: 2 April 2013
Type: Headline
The New York Times
The term big data connotes the certainty of truth, but there are hazards present, some human, some technological.
News details
Date: 3 June 2013
Type: Headline
Mike Barnett, Badrish Chandramouli, Robert DeLine, Steven Drucker, Danyel Fisher, Jonathan Goldstein, Patrick Morrison, and John Platt
Exploratory analysis on big data requires us to rethink data management across the entire stack – from the underlying data processing techniques to the user experience. We demonstrate Stat! – a visualization and analytics environment that allows users to rapidly experiment with exploratory queries over big data. Data scientists can use Stat! to quickly refine to the correct query, while getting immediate feedback after processing a fraction of the data. Stat! can work with multiple processing engines in...
Publication details
Date: 1 June 2013
Type: Inproceeding
Publisher: ACM SIGMOD
Inside Microsoft Research
The inaugural Big-Data Analytics workshop, hosted by Microsoft Research Cambridge on May 23-24, provided discussion about the best ways to cope with the unprecedented deluge of big data that has become available in recent years.
News details
Date: 19 June 2013
Type: Headline
John Bronskill
In the traditional approach to problem solving with machine learning, the developer typically selects from amongst the many machine learning algorithms developed over the last few decades. In this talk we describe an alternative methodology for applying machine learning, in which a bespoke solution is formulated for each new application. The solution is expressed through a compact modelling language and the corresponding custom machine learning code is then generated automatically. This model-based...
Video details
Date: 15 November 2012
Duration: 00:26:04
Publisher: Microsoft
Inside Microsoft Research
Hoping to increase diversity within the computer-science community, researchers from New York City are organizing the Microsoft Research Data Science Summer School.
News details
Date: 27 February 2014
Type: Headline
Big Sky is a web service for exploratory data analysis.
Project details
Labs: Redmond
The Web is described as a distributed, large-scale, volatile, unstructured, heterogeneous, and hidden information source, which poses big challenges to the management of Web data. The mission of Web Data Management (WDM) Group is to develop systems and algorithms to address these challenges and thus make Web data management as effective as a database system, and as flexible as an information retrieval system.
Group details
Labs: Asia
Philipp Hennig, David Stern, and Thore Graepel
Round-based games are an instance of discrete planning problems. Some of the best contemporary game tree search algorithms use random roll-outs as data. Relying on a good policy, they learn on-policy values by propagating information upwards in the tree, but not between sibling nodes. Here, we present a generative model and a corresponding approximate message passing scheme for inference on the optimal, off-policy value of nodes in smooth AND/OR trees, given random roll-outs. The crucial insight is that...
Publication details
Date: 1 May 2010
Type: Inproceeding
Francis Bach and Leon Bottou
Research in Focus: Large-Scale Machine LearningThe emergence of Big Data has outstripped the power of computers. The computing power required to analyze grows exponentially with the data. Francis Bach, SIERRA Research Team Leader, INRIA, and Léon Bottou, Principal Researcher, Microsoft Research, describe how researchers are using machine learning to meet the challenge of developing algorithms that balance the competing needs of predicting well and predicting quickly.
Video details
Date: 7 March 2013
Duration: 00:09:22
Publisher: Microsoft
Neowin
Craig Mundie, Microsoft chief research and strategy officer, discusses big data during the debut of his new, online video series, TechForum Insights.
News details
Date: 29 November 2012
Type: Headline
The Seattle Times
The annual demonstration by company researchers gives a broad view of three of Microsoft’s future focuses: natural user interface, big data and machine learning.
News details
Date: 6 March 2013
Type: Headline
PlatonTV
Kenji Takeda of Microsoft Research Connections discusses big data and related topics during the TERENA Networking Conference, held June 3-6 in Maastricht, Netherlands.
News details
Date: 5 June 2013
Type: Headline
Using a diversity of big data to infer and predict fine-grained air quality throughout a city, and finally tackle air pollutions.
Project details
Labs: Asia
James Bornholt, Todd Mytkowicz, and Kathryn S. McKinley
Emerging applications increasingly use estimates such as sensor data (GPS), probabilistic models, machine learning, big data, and human data. Unfortunately, representing this uncertain data with discrete types (floats, integers, and booleans) encourages developers to pretend it is not probabilistic, which causes three types of uncertainty bugs. (1) Using estimates as facts ignores random error in estimates. (2) Computation compounds that error. (3) Boolean questions on probabilistic data induce false...
Publication details
Date: 1 March 2014
Type: Inproceeding
Publisher: Architectural Support for Programming Languages and Operating Systems (ASPLOS)
Event details
Date: 9 July 2012
Location: Microsoft Research Cambridge
Type: Other
BostInno
Microsoft Research New England celebrated its fifth year anniversary at the NERD in Cambridge with a day-long symposium on the lab’s core research areas in mathematics and theory, economics, big data, machine learning and social media.
News details
Date: 9 October 2013
Type: Headline
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