Artificial Intelligence
Building intelligent machines that complement human reasoning and extend what people can do.
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Interpretable Outcome Prediction with Sparse Bayesian Neural Networking
A type of Bayesian Neural Network which has a sparsity-inducing prior distribution in order to help interpret the learned weights. Particularly useful in the domain of healthcare but scales to many other domains, as it…
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Project Malmo competition returns with student organizers and a new mission: To democratize reinforcement learning
When I was asked about my favorite movie in a game with friends after my wedding ceremony, I replied Star Wars. That was about two decades ago, and, yes, it’s still the case. I especially…
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Supervised Deep Hashing for Efficient Audio Retrieval [Video]
Audio Event Classification (AEC) is defined as the inherent ability of machines to assign a semantic label to a given audio segment. In spite of multiple efforts in learning better and robust audio representations (or…
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Optics for the Cloud Research Alliance establishes collaborative research approach to improving cloud technology
The cloud is an enormous success story. Microsoft Azure, the company’s cloud offering, was launched in 2010. It has grown by more than ten times in the past five years and is now operating in…
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Microsoft Icecaps: An Open-Source Toolkit for Conversation Modeling
Microsoft Icecaps is a new open-source NLP toolkit featuring pre-trained models and an emphasis on conversational scenarios
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Engaging with Students and Parents in Bellevue School District in Multilingual Settings
The Bellevue School District serves nearly 22,000 students east of Seattle, WA. The rich diversity of the student body is demonstrated by the 123 countries our students come from and the 99 languages spoken across…
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Fireside Chat with Peter Stone
For autonomous robots to operate in the open, dynamically changing world, they will need to be able to learn a robust set of skills from relatively little experience. This talk begins by introducing Grounded Simulation…
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Efficient Robot Skill Learning: Grounded Simulation Learning and Imitation Learning from Observation
For autonomous robots to operate in the open, dynamically changing world, they will need to be able to learn a robust set of skills from relatively little experience. This talk begins by introducing Grounded Simulation…
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SCAI – Societal impact through Cloud and Artificial Intelligence at Microsoft Research India
Microsoft Research India has established a center for Societal impact through Cloud and Artificial Intelligence (SCAI). Part of the Microsoft Research (MSR) Lab in Bengaluru, this center will focus on creating and nurturing projects that…
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KDD 2019 Workshop on Truth Discovery and Fact Checking: Theory and Practice
The first workshop on Truth Discovery and Fact Checking: Theory and practice will provide a forum where researchers and practitioners from academia, government and industry can share insights and identify new challenges and opportunities in…