Artificial Intelligence
Building intelligent machines that complement human reasoning and extend what people can do.
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List-only Entity Linking
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Introduction to the Microsoft CNTK v2.0 Library
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Learning Shape Analysis
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Research for Practice: Programming by Examples
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Video Abstract: Towards Socio-Culturally Aware AI
How do we make AI agents appear to be more “human”? The goal of this session is to bring together researchers in human-computer interaction, linguistics, machine learning, speech, and natural language processing to discuss what…
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Video Abstract: Challenges and Opportunities in Human-Machine Partnership
The new wave of excitement about AI in recent years has been based on successes in perception tasks or on domains with limited and known dynamics. Because machines have achieved human parity in accuracy for…
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Video Abstract: Transforming Machine Learning and Optimization through Quantum Computing
In 1982, Richard Feynman first proposed using a “quantum computer” to simulate physical systems with exponential speed over conventional computers. Quantum algorithms can solve problems in number theory, chemistry, and materials science that would otherwise…
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Video Abstract: 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…
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Video Abstract: Microsoft Cognitive Toolkit (CNTK) for Deep Learning
Microsoft Cognitive Toolkit (CNTK) is a production-grade, open-source, deep-learning library. In the spirit of democratizing AI tools, CNTK embraces fully open development, is available on GitHub, and provides support for both Windows and Linux. The…
