Artificial Intelligence
Building intelligent machines that complement human reasoning and extend what people can do.
동영상
Video Abstract: Machine Teaching Using the Platform for Interactive Concept Learning (PICL)
Building machine learning (ML) models is an involved process requiring ML experts, engineers, and labelers. The demand of models for common-sense tasks far exceeds the available “teachers” that can build them. We approach this problem…
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Video Abstract: Machine Reading Comprehension over Automotive Manual
Maluuba’s vision is to build literate machines. The research team has built deep learning models that can process written unstructured text and answer questions against it. The demo will showcase Maluuba’s machine reading comprehension (MRC)…
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Video Abstract: Interactive Chinese Learning App
When traveling to China it’s best to know at least a bit of the language. The mobile app called Learn Chinese can help travelers enjoy a better journey. Learn Chinese teaches in an interactive way,…
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Video Abstract: DeepFind: Searching within Documents to Answer Natural Language Questions
DeepFindSearching within web documents on mobile devices is difficult and unnatural: ctrl-f searches only for exact matches, and it’s hard to see the search results. DeepFind takes a step toward solving this problem by allowing…
프로젝트
Conversational Intelligence
Intelligent agents that can handle human language play a growing role in personalized, ubiquitous computing and the everyday use of devices. Agents need to be able to communicate and collaborate with humans in ways that…
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Watch the livestream of the 2017 Microsoft Research Faculty Summit—The Edge of AI
By Evelyne Viegas, Program Co-Chair of Faculty Summit and Director, Microsoft We are looking forward to another informative Microsoft Research Faculty Summit (July 17-18, 2017) where this year’s theme is The Edge of AI. The event…
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Design – On the Human Side
This session addresses what is human about artificial intelligence. The session will inspect this question from three very different perspectives. Alex Taylor will discuss human perspectives on AI; Anab Jain will comment on how design…
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Probabilistic Machine Learning and AI
How can a machine learn from experience? Probabilistic modelling provides a mathematical framework for understanding what learning is, and has therefore emerged as one of the principal approaches for designing computer algorithms that learn from…
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Video Abstract: Zo AI
Zo is a sophisticated machine conversationalist with the personality of a 22-year-old with #friendgoals. She hangs out on Kik and Facebook and is always interested in a casual conversation with her growing crowd of human…
