Artificial Intelligence
Building intelligent machines that complement human reasoning and extend what people can do.
论文与出版物
Stochastic Superoptimization
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Research in Focus: Probablistic Programming
The traditional machine-learning approach relied on developing thousands of specific algorithms, each good for teaching machines how to do one or a few particular things. Chris Bishop, Distinguished Scientist, Microsoft Research Cambridge, is devising a…
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Research in Focus: Using Machine Learning in Healthcare
Silvia Chiappa, Post-doc Researcher, Microsoft Research Cambridge, is using machine learning to analyze factors such as smoking, COPD, and asthma that can affect lung function. The probabilistic model allows her to combine all these data…
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Research in Focus: Large-Scale Machine Learning
The 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…
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Productivity Tools to Discover and Analyze Data
This project presents non-expert Excel users a set of machine-learning tools seamlessly integrated into Excel. The technology automatically can infer the values of missing cells, detect outliers, and enable users to analyze data tables more…
