photo of the Redmond lab building entrance

Microsoft Research Lab – Redmond

新闻与深度文章

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Microsoft Research has shown off a new t…

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Picture this: You are a researcher in th…

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FLAML is a lightweight Python library fr…

Portraits of Microsoft researchers Sid Suri and Jaime Teevan photographed in black and white. Both smile and look forward. Teevan, on the right, is holding a cell phone in the lower right of the frame.
微软研究院播客

In this episode of The New Future of Wor…

An illustration of resolving a bad merge into a safe merge. Moving from left to right, circles on a continuous line represent code commits in a version control system. A circle labeled “Base” is the most common ancestor of the commits marked A and B, respectively. All three commits pass the project’s quality gates, denoted by green check marks alongside each of these commits. The subsequent merge results in a failure of some quality gate, denoted by a blue circle labeled “Bad merge” with a red x above it. The repair uses machine learning, denoted by an abstract image of a neural network, and program verification and synthesis, denoted by a formal inference rule containing math symbols, to construct a safe merge that passes the quality gate, denoted by a circle outlined in green with a green check mark above it.   
微软研究院博客

| Shuvendu Lahiri

Since the computing world began embracin…

新闻报道 | Analytics India Magazine

Listed as one of the top 10 AI innovatio…

Portraits of Microsoft researchers Ginger Hudson and Jaime Teevan photographed in black and white. Both smile and look forward. Teevan, on the right, is holding a cell phone in the lower right of the frame.
微软研究院播客

In this episode of The New Future of Wor…

Two people side by side, Matt Brodsky on the left and Jaime Teevan on the right, in black and white smile and look forward. Teevan is holding a cell phone.
微软研究院播客

In this episode of the podcast, Chief Sc…