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Microsoft Research Forum

Join us for a continuous exchange of ideas about science and technology research in the era of general AI. This series will explore recent research advances, bold new ideas, and important discussions with the global research community.

Register to receive access to all episodes and be part of the conversation.


Series Episodes

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Episode 1

Previously aired on January 30, 2024

On demand, briefing book, and copilot available.

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Episode 2

Previously aired on March 5, 2024

On demand, briefing book, and copilot available.


Image represents Episode3

Episode 3

June 4, 2024
9:00 AM - 10:30 AM PT





Up next

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Episode 4

September 3, 2024
9:00 AM - 10:30 AM PT





Coming soon

Episode 2

Previously aired on March 5, 2024


Research advances are driving real-world impact faster than ever, with the latest advances in AI transforming the way we all live, work, and think.

In this episode, we shared how AI is transforming health care and the natural sciences, the intersection of AI and society, and the continuing evolution of foundational AI technologies.

Agenda

SessionsSpeakersDescription
KeynoteChris Bishop, Technical Fellow and Director, Microsoft Research AI4ScienceThe Revolution in Scientific Discovery
Chris Bishop shared the vision for how AI for science will leverage AI to model and predict natural phenomena, including the exciting real-world progress being made by the team.
Panel DiscussionRianne van den Berg, Principal Research Manager, Microsoft Research AI4Science
Tian Xie, Principal Research Manager, Microsoft Research AI4Science
Tristan Naumann, Principal Researcher, Microsoft Research Health Futures
Kristen Severson, Senior Researcher, Microsoft Research New England
Alex Lu, Senior Researcher, Microsoft Research New England
Bonnie Kruft, Partner Deputy Director, Microsoft Research AI4Science (Host)
Transforming the Natural Sciences with AI
Microsoft researchers shared their advancements in the fields of foundations models, drug discovery, material design and machine learning. They will highlight how deep learning is transforming the natural sciences.
Lightning Talk 1Chi Wang, Principal Researcher, Microsoft Research AI FrontiersWhat's new in AutoGen?
Chi Wang discussed the latest updates on AutoGen—the multi-agent framework for next generation AI applications. This includes milestones achieved, community feedback, new exciting features, and ongoing research and challenges.
Lightning Talk 2Lev Tankelevitch, Senior Behavioral Science Researcher, Microsoft Research CambridgeThe Metacognitive Demands and Opportunities of Generative AI
Lev Tankelevitch explored how metacognition—the psychological capacity to monitor and regulate one's cognitive processes—provides a valuable perspective for comprehending and addressing the usability challenges of generative AI systems around prompting, assessing and relying on outputs, and workflow optimization.
Lightning Talk 3Alessandro Sordoni, Principal Researcher, Microsoft Research MontrealGetting Modular with Language Models: Building and Reusing a Library of Experts for Task Generalization
Alessandro Sordoni shared recent efforts on building and re-using large collections of expert language models to improve zero-shot and few-shot generalization to unseen tasks.
Lightning Talk 4Naoto Usuyama, Principal Researcher, Microsoft Research Health FuturesGigaPath: Foundation Model for Digital Pathology
Naoto Usuyama proposed GigaPath, a novel approach for training large vision transformers for gigapixel pathology images, utilizing a diverse real-world cancer patient dataset, with the goal of laying a foundation for cancer pathology AI.
Lightning Talk 5Madeleine Daepp, Senior Researcher, Microsoft Research Redmond
Vanessa Gathecha, Research and Policy Manager, Baraza Media Lab
Generative AI and Plural Governance: Mitigating Challenges and Surfacing Opportunities
Madeleine Daepp talked about the potential impacts and challenges of generative AI in a year with over 70 major global elections, and AI and Society Fellow Vanessa Gathecha discussed her work on disinformation in Kenya and Sub-Saharan Africa.
Closing remarks and announcementsAshley Llorens, CVP, Microsoft Research
SessionsKeynote
SpeakersChris Bishop, Technical Fellow and Director, Microsoft Research AI4Science
DescriptionThe Revolution in Scientific Discovery
Chris Bishop shared the vision for how AI for science will leverage AI to model and predict natural phenomena, including the exciting real-world progress being made by the team.

SessionsPanel Discussion
SpeakersRianne van den Berg, Principal Research Manager, Microsoft Research AI4Science
Tian Xie, Principal Research Manager, Microsoft Research AI4Science
Tristan Naumann, Principal Researcher, Microsoft Research Health Futures
Kristen Severson, Senior Researcher, Microsoft Research New England
Alex Lu, Senior Researcher, Microsoft Research New England
Bonnie Kruft, Partner Deputy Director, Microsoft Research AI4Science (Host)
DescriptionTransforming the Natural Sciences with AI
Microsoft researchers shared their advancements in the fields of foundations models, drug discovery, material design and machine learning. They will highlight how deep learning is transforming the natural sciences.

SessionsLightning Talk 1
SpeakersChi Wang, Principal Researcher, Microsoft Research AI Frontiers
DescriptionWhat's new in AutoGen?
Chi Wang discussed the latest updates on AutoGen—the multi-agent framework for next generation AI applications. This includes milestones achieved, community feedback, new exciting features, and ongoing research and challenges.

SessionsLightning Talk 2
SpeakersLev Tankelevitch, Senior Behavioral Science Researcher, Microsoft Research Cambridge
DescriptionThe Metacognitive Demands and Opportunities of Generative AI
Lev Tankelevitch explored how metacognition—the psychological capacity to monitor and regulate one's cognitive processes—provides a valuable perspective for comprehending and addressing the usability challenges of generative AI systems around prompting, assessing and relying on outputs, and workflow optimization.

SessionsLightning Talk 3
SpeakersAlessandro Sordoni, Principal Researcher, Microsoft Research Montreal
DescriptionGetting Modular with Language Models: Building and Reusing a Library of Experts for Task Generalization
Alessandro Sordoni shared recent efforts on building and re-using large collections of expert language models to improve zero-shot and few-shot generalization to unseen tasks.

SessionsLightning Talk 4
SpeakersNaoto Usuyama, Principal Researcher, Microsoft Research Health Futures
DescriptionGigaPath: Foundation Model for Digital Pathology
Naoto Usuyama proposed GigaPath, a novel approach for training large vision transformers for gigapixel pathology images, utilizing a diverse real-world cancer patient dataset, with the goal of laying a foundation for cancer pathology AI.

SessionsLightning Talk 5
SpeakersMadeleine Daepp, Senior Researcher, Microsoft Research Redmond
Vanessa Gathecha, Research and Policy Manager, Baraza Media Lab
DescriptionGenerative AI and Plural Governance: Mitigating Challenges and Surfacing Opportunities
Madeleine Daepp talked about the potential impacts and challenges of generative AI in a year with over 70 major global elections, and AI and Society Fellow Vanessa Gathecha discussed her work on disinformation in Kenya and Sub-Saharan Africa.

SessionsClosing remarks and announcements
SpeakersAshley Llorens, CVP, Microsoft Research
Description

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