Closing remarks: Towards Human-Like Visual Learning and Reasoning
Speaker: Yan Lu, Microsoft Research Asia 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
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Research talks: Generalization and adaptation
Speakers: Suha Kwak, Professor, POSTECH Chong Luo, Principal Researcher, Microsoft Research Asia Lu Yuan, Principal Research Manager, Microsoft The limitations of big data-driven deep learning in
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Research talk: CitizenEndo: Patient-centered endometriosis research
Speaker: Noémie Elhadad, Associate Professor, Columbia University Endometriosis is an enigmatic condition, estimated to affect 10 percent of women of reproductive age.
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Research talks: Few-shot and zero-shot visual learning and reasoning
Speakers: Kyoung Mu Lee, Professor, Seoul National University Han Hu, Principal Researcher, Microsoft Research Asia Zhe Gan, Senior Researcher, Microsoft Humans learn, infer, and reason by
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35.2
Research talk: Learning to read the adaptive immune systems of humans
Speaker: Jabran Zahid, Researcher, Microsoft Health Futures Humans’ adaptive immune system has evolved over hundreds of millions of years to recognize and destroy invading pathogens and retain an
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Research talk: Next generation spatial genomics
Speaker: Fei Chen, Assistant Professor, Broad Institute The precise spatial localization of molecular signals within tissues richly informs the mechanisms of tissue formation and function.
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Research talk: Leveraging uncertainty in machine learning to bridge computation and experimentation
Speaker: Ava Soleimany, Sr.
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11.5
Research talks: Learning for interpretability
Speakers: Hanwang Zhang, Professor, Nanyang Technological University Yuwang Wang, Senior Researcher, Microsoft Research Asia Shujian Yu, Professor, UiT - The Arctic University of Norway One of the
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Fireside chat: The future of medicines and innovation
Moderator: Junaid Bajwa, Chief Medical Scientist, Microsoft Research Cambridge Speaker: Mike Rosenblatt, Senior Partner, Flagship Pioneering “Medicine is an exercise of the imagination.” In this
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Keynote: Learning from observation: Small-data approach to human common sense
Speaker: Katsushi Ikeuchi, Sr.
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Fireside chat: Emergent innovation
Speakers: Junaid Bajwa, Chief Medical Scientist, Microsoft Research Cambridge Noubar Afeyan, Founder, Flagship Pioneering Have you wondered how to push the limits of your imagination in your
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Tutorial: Accelerating research with the InnerEye medical imaging toolbox and Azure machine learning
Speakers: Anton Schwaighofer, Principal Researcher, Microsoft Research Cambridge Michael Hansen, Director, Microsoft Health Futures The InnerEye open-source toolbox powers the award-winning
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Opening remarks: Towards Human-Like Visual Learning and Reasoning
Speaker: Wenjun Zeng, Sr.
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Research talk: Research and application of AI in Healthcare
Speaker: Chengming Gu, Vice President, SANOFI Artificial intelligence (AI) applications are booming in the Healthcare industry—in research and development (R&D), pre-diagnosis, clinical practice
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Research talk: AI in medical imaging: What’s next?
Speaker: Matthew Lungren, Associate Professor Clinician Scientist, Stanford University The field of medical imaging has experienced rapid innovation from the application of artificial intelligence
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9.1
Research talk: AI for drug discovery
Speakers: Tong Wang, Researcher, Microsoft Research Asia Yingce Xia, Senior Researcher, Microsoft Research Asia Drug discovery is an important task with large social and business impacts.
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11.6
Research talk: Decrypting the secret of gene regulation with AI
Speaker: Pan Deng, Senior Researcher, Microsoft Research Asia Gene regulation leads to the creation of different cell types that contain different gene expression profiles from the same genome
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9.5
Closing remarks: Empowering software developers and mathematicians with next-generation AI
Speaker: Madan Musuvathi, Partner Research Manager, Microsoft Research Redmond Machine learning systems have become increasingly capable of making fast, plausible predictions in diverse situations.
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Research talks: Software supply chain security
Speakers: Adrian Diglio, Principal PM of Software Supply Chain Security, Microsoft Michael Scovetta, Principal Security PM Manager, Microsoft The software development process has an extensive list
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12.4
Lightning talks: Augmented Mathematical Intelligence
Speakers: Leonardo de Moura, Senior Principal Researcher, Microsoft Research Redmond Kevin Buzzard, Professor of Pure Mathematics, Imperial College London Daniel Selsam, Senior Researcher, Microsoft
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12.3
Research talk: Torchy: A tracing JIT compiler for PyTorch
Speaker: Nuno Lopes, Principal Researcher, Microsoft Research Cambridge This session will introduce current technologies to speed up training of machine learning models and their limitations, and
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17.5
Research talks: AI for software development
Speakers: Neel Sundaresan, Vice President, Engineering & AI, Microsoft Oege de Moor, VP GitHub Next, GitHub Todd Mytkowicz, Sr.
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Opening remarks: Empowering software developers and mathematicians with next-generation AI
Speaker: Madan Musuvathi, Partner Research Manager, Microsoft Research Redmond Machine learning systems have become increasingly capable of making fast, plausible predictions in diverse situations.
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Closing Remarks: Health and Life Sciences - Delivery
Speaker: Vikram Dendi, Chief Product Officer, Microsoft Health Futures Learn more about the 2021 Microsoft Research Summit: Aka.ms/researchsummit
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Tutorial: Translating real-world data into evidence
Speaker: Darren Edge, Director of Societal Resilience, Microsoft Research Cambridge The concepts of real-world data (RWD) and real-world evidence (RWE) emerged in the medical domain to
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22.6
Future of technology in combatting disease and disparities in treatment: A cardiovascular case study
00:00 Introduction Speakers: Vikram Dendi, Chief Product Officer, Microsoft Health Futures Jim Weinstein, Senior Vice President, Microsoft Research & Incubations 07:04 Panel Discussion Moderator
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Research talks: Showcasing health equity, access, and resilience collaborations
This series of talks feature Health Delivery research and innovation, collaboration networks, and the next generation of research talent.
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Opening remarks: Health & Life Sciences - Discovery
Speaker: Junaid Bajwa, Chief Medical Scientist, Microsoft Research Cambridge Microsoft is exploring and making technological advances in collaboration with our research partners and the life
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The role of tech in decreasing health inequities, improving access, and strengthening resilience
Introduction: Vikram Dendi, Chief Product Officer, Microsoft Health Futures Chris White, Managing Director, Microsoft Research & Incubations Moderator: Desmond Creary, Regional Leader, Microsoft
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Opening remarks: Health and Life Sciences - Delivery
Speaker: Vikram Dendi, Chief Product Officer, Microsoft Health Futures Research and technological developments play a huge role in combatting disparities and inequities in healthcare delivery
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