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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 explores recent advances, bold new ideas, and important discussions with the global research community.

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Series Episodes

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Episode 1

Previously aired on January 30, 2024

Recent breakthroughs in AI models, new applications of AI to important scientific challenges, improving reasoning in language models with LASER, and more.

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Episode 2

Previously aired on March 5, 2024

Learn how AI is transforming health care and the natural sciences, the intersection of AI and society, what's new in AutoGen, and more.

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Episode 3

Previously aired on June 4, 2024

Dive into the importance of globally inclusive and equitable AI, updates on AutoGen and MatterGen, explore novel new use cases for AI, and more.

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Episode 4

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

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Episode 3 on-demand

Previously aired on June 4, 2024


In this episode, researchers at Microsoft emphasized the importance of globally equitable AI, addressing challenges such as data representation and inclusivity. They also shared novel use cases, updates on the latest foundational advances in AI, and transformative applications from industry to material design.

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Agenda

SessionsSpeakersDescription
KeynoteJacki O’Neill, Lab Director, Microsoft Research Africa, NairobiBuilding Globally Equitable AI
In this keynote, Jacki O'Neill discussed the importance of creating globally equitable generative AI. She addressed the technical and socio-technical challenges that must be tackled to positively transform work futures worldwide.
Panel DiscussionJacki O’Neill (Host), Lab Director, Microsoft Research Africa, Nairobi
Sunayana Sitaram, Principal Researcher, Microsoft Research India
Daniela Massiceti, Senior Researcher, Microsoft Research Cambridge
Tanuja Ganu, Principal Research SDE Manager, Microsoft Research India
Generative AI for Global Impact: Challenges and Opportunities
In this panel discussion, Microsoft researchers discussed the challenges and opportunities of making AI more inclusive and impactful for everyone – from data that represents a broader range of communities and cultures, to novel use cases for AI that are globally relevant.
Lightning Talk 1Daniela Massiceti, Senior Researcher, Microsoft Research CambridgeInsights into the Challenges and Opportunities of Large Multi-Modal Models for Blind and Low Vision Users: A Case Study on CLIP
In this talk, Daniela Massiceti delved into the transformative potential of multi-modal models such as CLIP for assistive technologies. Specifically focusing on the blind/low vision community, the talk explored the current distance from realizing this potential and the advancements needed to bridge this gap.
Lightning Talk 2Jiang Bian, Senior Principal Research Manager, Microsoft Research AsiaDriving Industry Evolution: Exploring the Impact of Generative AI on Sector Transformation
In this talk, Jiang Bian discussed how Generative AI transforms industries by bridging gaps between AI capabilities and sector needs. He showcased domain-specific foundation models and versatile AI agents, setting new industry standards.
Lightning Talk 3Tian Xie, Principal Research Manager, Microsoft ResearchMatterGen: A Generative Model for Materials Design
In this talk, Tian Xie introduced MatterGen, a generative model that creates new inorganic materials based on a broad range of property conditions required by the application, aiming to shift the traditional paradigm of materials design with generative AI.
Lightning Talk 4Adam Fourney, Principal Researcher, Microsoft Research AI FrontiersAutoGen Update: Complex Tasks and Agents
In this talk, Adam Fourney discussed the effectiveness of using multiple agents, working together, to complete complex multi-step tasks. He showcased their capability to outperform previous single-agent solutions on benchmarks like GAIA, utilizing customizable arrangements of agents that collaborate, reason, and utilize tools to achieve complex outcomes.
SessionsKeynote
SpeakersJacki O’Neill, Lab Director, Microsoft Research Africa, Nairobi
DescriptionBuilding Globally Equitable AI
In this keynote, Jacki O'Neill discussed the importance of creating globally equitable generative AI. She addressed the technical and socio-technical challenges that must be tackled to positively transform work futures worldwide.

SessionsPanel Discussion
SpeakersJacki O’Neill (Host), Lab Director, Microsoft Research Africa, Nairobi
Sunayana Sitaram, Principal Researcher, Microsoft Research India
Daniela Massiceti, Senior Researcher, Microsoft Research Cambridge
Tanuja Ganu, Principal Research SDE Manager, Microsoft Research India
DescriptionGenerative AI for Global Impact: Challenges and Opportunities
In this panel discussion, Microsoft researchers discussed the challenges and opportunities of making AI more inclusive and impactful for everyone – from data that represents a broader range of communities and cultures, to novel use cases for AI that are globally relevant.

SessionsLightning Talk 1
SpeakersDaniela Massiceti, Senior Researcher, Microsoft Research Cambridge
DescriptionInsights into the Challenges and Opportunities of Large Multi-Modal Models for Blind and Low Vision Users: A Case Study on CLIP
In this talk, Daniela Massiceti delved into the transformative potential of multi-modal models such as CLIP for assistive technologies. Specifically focusing on the blind/low vision community, the talk explored the current distance from realizing this potential and the advancements needed to bridge this gap.

SessionsLightning Talk 2
SpeakersJiang Bian, Senior Principal Research Manager, Microsoft Research Asia
DescriptionDriving Industry Evolution: Exploring the Impact of Generative AI on Sector Transformation
In this talk, Jiang Bian discussed how Generative AI transforms industries by bridging gaps between AI capabilities and sector needs. He showcased domain-specific foundation models and versatile AI agents, setting new industry standards.

SessionsLightning Talk 3
SpeakersTian Xie, Principal Research Manager, Microsoft Research
DescriptionMatterGen: A Generative Model for Materials Design
In this talk, Tian Xie introduced MatterGen, a generative model that creates new inorganic materials based on a broad range of property conditions required by the application, aiming to shift the traditional paradigm of materials design with generative AI.

SessionsLightning Talk 4
SpeakersAdam Fourney, Principal Researcher, Microsoft Research AI Frontiers
DescriptionAutoGen Update: Complex Tasks and Agents
In this talk, Adam Fourney discussed the effectiveness of using multiple agents, working together, to complete complex multi-step tasks. He showcased their capability to outperform previous single-agent solutions on benchmarks like GAIA, utilizing customizable arrangements of agents that collaborate, reason, and utilize tools to achieve complex outcomes.

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