Artificial Intelligence
Building intelligent machines that complement human reasoning and extend what people can do.
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Closing remarks: Causal Machine Learning
Causal machine learning is an increasingly important, but not well understood, technology. It’s a necessary precursor to building more human-like machine intelligence, and an integral factor in the fields of information, data and computer science.…
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Opening Remarks: The Future of Privacy and Security
Security and privacy are key components to building trust in the technologies that we use, whether that be for applications for individuals, businesses, or in government. As new challenges and threats emerge in this area,…
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Research talk: New Future of Work Overview
Our experience in the past year with virtual events has emphasized that planning an event in the virtual world must take into account the span of attention of the audience. We are implementing a new…
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Research talk: Can causal learning improve the privacy of ML models?
Ensuring privacy of data used to train machine learning models is important for safe and responsible deployment of these models. At the same time, models are required to generalize across different data distributions to enable…
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Panel: Perspectives on the new future of hybrid meetings
Hybrid meetings—meetings in which there is a mix of remote and in-person participants—aren’t a new phenomenon, but the impact of the COVID-19 pandemic has brought their opportunities and challenges to center stage. The Microsoft approach…
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Opening remarks: Deep Learning and Large-Scale AI
AI has undergone a transformation in recent years with the emergence of large-scale models and deep learning. AI models continue to be able to achieve in areas like language and vision. Large AI models also…
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Research talk: Approximate nearest neighbor search systems at scale
Building deep learning-based search and recommendation systems at internet scale requires a complete redesign of the search index. Key to this redesign is a fast, accurate, and cost-efficient indexing system for approximate nearest neighbor search.…
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Research talk: Making deep reinforcement learning industrially applicable
Deep reinforcement learning has achieved remarkable success, especially in gaming and other applications whose environments are artificial or are associated with low exploration costs. However, for most critical industrial applications, interactions with the environments are…
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Plenary: The Future of Research
Microsoft CTO Kevin Scott will be joined by CEO Satya Nadella and Max Welling, VP and Distinguished Scientist, to discuss the significance of Microsoft Research’s 30 years of contributions to the company, the biggest trends…
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Practical tips for productivity & wellbeing: Focusing without getting exhausted
Learn more about the 2021 Microsoft Research Summit: https://Aka.ms/researchsummit
