Artificial Intelligence
Building intelligent machines that complement human reasoning and extend what people can do.
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Panel: Causal ML Research at Microsoft
Causal machine learning is poised to be the next AI revolution, providing a firm foundation for robust predictions, efficient decisions and human-interpretable explanations. This panel brings together a subset of experts across the Microsoft Research…
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Opening remarks: Towards Human-Like Visual Learning and Reasoning
Big data-driven deep learning has helped significantly improve the performance of visual tasks in the past few years, but it has also exhibited limitations in scalability and adaptation to real-world scenarios. Researchers and practitioners are…
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Panel: Cloud Intelligence/AIOps across academia and industry
Cloud service plays an increasingly important role in our daily life, and the quality of cloud platforms, including reliability, availability, performance, capacity efficiency, security, sustainability, etc., has become immensely important. “Cloud Intelligence/AIOps” is designed to…
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Research talk: Towards efficient generalization in continual RL using episodic memory
Reinforcement learning (RL) is a powerful, brain-inspired framework to train agents for making sequential decisions in artificial intelligence. In this talk, the researchers consider two scenarios wherein RL can be challenging. The first is when…
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Panel: The future of search and recommendation: Beyond web search
The increasing ability to learn representations of text, code, and even medical chemical compounds is changing what and how people search in every domain. In this panel, we bring together experts from industry and academia…
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Research talks: Generalization and adaptation
The limitations of big data-driven deep learning in scalability and adaptation to real-world scenarios hinder its practical applications. To address these limitations, it’s extremely important to develop architectures and algorithms that can capture the fundamentals…
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Opening remarks: New future of work
Learn more about the 2021 Microsoft Research Summit: https://Aka.ms/researchsummit
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Opening remarks: Empowering software developers and mathematicians with next-generation AI
Machine learning systems have become increasingly capable of making fast, plausible predictions in diverse situations. Combining this capability with the reliability of symbolic reasoning will produce next generation AI that will empower developers and mathematicians…
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Lightning talks: Advances in fairness in AI: New directions
Over the past few years, we’ve seen that artificial intelligence (AI) and machine learning (ML) provide us with new opportunities, but they also raise new challenges. Most notably, these challenges have highlighted the various ways…
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Research talk: Optimizing the cloud supply chain
The cloud supply chain includes multiple business-critical stages, such as procuring hardware from multiple suppliers, building racks in datacenters and placing servers on top. While supply chain management has been widely studied, the cloud domain…
