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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21.9
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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8.7
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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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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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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12.3
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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12.1
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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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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16.4
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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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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Closing remarks: Causal Machine Learning
Speaker: Emre Kiciman, Senior Principal Researcher, Microsoft Research Redmond Learn more about the 2021 Microsoft Research Summit: Aka.ms/researchsummit
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Demo: Enabling end-to-end causal inference at scale
Speakers: Eleanor Dillon, Principal Economist, Microsoft Research New England Amit Sharma, Senior Researcher, Microsoft Research India This session will present the two popular open-source tools
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Research Talk: Enhancing the robustness of massive language models via invariant risk minimization
Speaker: Robert West, Tenure-Track Assistant Professor, EPFL Despite the dramatic recent progress in natural language processing (NLP) afforded by large pretrained language models, important
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Research talk: Post-contextual-bandit inference
Speaker: Nathan Kallus, Associate Professor, Cornell University Contextual bandit algorithms are increasingly replacing non-adaptive A/B tests in e-commerce, healthcare, and policymaking because
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11.4
Research talk: Causal ML and fairness
Speaker: Allison Koenecke, Postdoc, Microsoft Research New England Observing heterogeneous treatment effects across different demographic groups is an important mechanism for evaluating fairness.
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Research talk: Causality for medical image analysis
Speaker: Daniel Coelho de Castro, Senior Researcher, Microsoft Research Cambridge Machine learning has huge potential to augment medical image analysis workflows and improve patient care.
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Research talk: Causal learning: Discovering causal relations for out-of-distribution generalization
Speaker: Wei Chen, Principal Researcher, Microsoft Research Asia Machine learning models should be explainable and robust on out-of-distribution samples, especially on safety-critical tasks such as
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43.7