Artificial Intelligence
Building intelligent machines that complement human reasoning and extend what people can do.
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Design Expo 2017: MIT, Cambridge
Each year, Microsoft Research sponsors a semester-long class at leading design schools. Students are asked to form interdisciplinary teams of two to four students to design a user experience prototype that solves a real-world problem.…
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Understanding Black-box Predictions via Influence Functions
How can we explain the predictions of a black-box model? In this paper, we use influence functions — a classic technique from robust statistics — to trace a model’s prediction through the learning algorithm and back to…
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Design Expo 2017: Carnegie Mellon University, School of Design
Each year, Microsoft Research sponsors a semester-long class at leading design schools. Students are asked to form interdisciplinary teams of two to four students to design a user experience prototype that solves a real-world problem.…
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Design Expo 2017: ArtCenter College of Design, Graduate Media Design Practices
Each year, Microsoft Research sponsors a semester-long class at leading design schools. Students are asked to form interdisciplinary teams of two to four students to design a user experience prototype that solves a real-world problem.…
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Design Expo 2017: University of Southern California, School of Cinematic Arts
Each year, Microsoft Research sponsors a semester-long class at leading design schools. Students are asked to form interdisciplinary teams of two to four students to design a user experience prototype that solves a real-world problem.…
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Design Expo 2017: New York University, ITP
Each year, Microsoft Research sponsors a semester-long class at leading design schools. Students are asked to form interdisciplinary teams of two to four students to design a user experience prototype that solves a real-world problem.…
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Keynote: AI, People, and Society
Advances in AI promise great benefit to people and organizations. However, as we push the science of AI forward, we need to consider potential downsides, unintended consequences and costly outcomes. Challenges include ethical and legal…
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Keynote: Model-Based Machine Learning
Today, thousands of scientists and engineers are applying machine learning to an extraordinarily broad range of domains, and over the last five decades, researchers have created literally thousands of machine learning algorithms. Traditionally an engineer…
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AI and Security
In the future, every company will be using AI, which means that every company will need a secure infrastructure that addresses AI security concerns. At the same time, the domain of computer security has been…
