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GigaPath: Foundation Model for Digital Pathology
Presented by Naoto Usuyama at Microsoft Research Forum, March 2024 “This project (GigaPath) is not possible without many, many collaborators, and we are just scratching the surface, so I’m very...
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Getting Modular with Language Models: Building and Reusing a Library of...
Presented by Alessandro Sordoni at Microsoft Research Forum, March 2024 “We have witnessed basically the wide adoption of large language models, such as GPT-4, that have very broad capabilities and...
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Generative AI and Plural Governance: Mitigating Challenges and Surfacing...
Presented by Madeleine Daepp and Vanessa Gathecha at Microsoft Research Forum, March 2024 “Democracy requires healthy dialogue and debate. It is actively threatened by generative AI’s misuse. Neither...
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Changho Hwang: Pursuing long-term research takes constant self-persuasion
“Before I became an intern at Microsoft Research Asia (MSR Asia), my knowledge of the institute was a paper on ResNet (Residual Network),” said Changho Hwang. “In the paper, researchers at MSR Asia...
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Building a bridge of communication for cross-industry research
In the Accelerator team of Microsoft Research Asia, women from diverse countries, with diverse academic backgrounds and life experiences, are weaving bridges for interdisciplinary research in their...
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Generative AI in agriculture
Personas in agriculture Farmer Decision making for seeds, purchases, and management Input provider / Agronomist Communicate with farmer & advisories, input purchase decisions Consumer Nutrition...
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AI and Software Engineering Research Initiative
AI is not only software-based but also transforms the way we create software. Tools like GitHub Copilot affect the processes of building, testing, and delivering software. This workstream aims to...
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AI and Productivity Research Initiative
Large language model-powered tools like Copilot have the potential to increase labor productivity more than any technology in a generation. Motivated by the significance of this moment, researchers...
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Appropriate Reliance Research Initiative
The Appropriate Reliance research initiative focuses on advancing research and creating practical solutions for fostering appropriate reliance on AI. Through appropriate reliance (opens in new tab),...
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Dongqi Han: An interdisciplinary odyssey with AI and other fields
Deciding between fundamental and applied research is a dilemma that confronts many in the scientific community. Dongqi Han, on the cusp of graduation, ambitiously aspired to bridge this divide by...
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Guarding human health: AI empowers innovative applications in healthcare
“If life is a marathon, then health is the key to its duration.” Health is not only the foundation of happiness and societal progress but also a pivotal aspect of the intelligent era. AI’s integration...
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Podcast: Evaluating LLMs using novel approaches. With Dr. Sunayana Sitaram
Episode 015 | May 21, 2024 [Music] Sunayana Sitaram: Our ultimate goal is to build evaluation systems and also other kinds of systems in general where humans and LLMs can work together. We’re really...
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Keynote: Building Globally Equitable AI
Presented by Jacki O’Neill at Microsoft Research Forum, June 2024 “It’s only by working together can we solve the challenges we face with generative AI at scale and, in doing so, capitalize on the...
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Panel Discussion: Generative AI for Global Impact: Challenges and Opportunities
Hosted by Jacki O’Neill, with Sunayana Sitaram, Daniela Massiceti, and Tanuja Ganu at Microsoft Research Forum, June 2024 “One of the solutions that we’ve been using is to actually design with ‘human...
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Insights into the Challenges and Opportunities of Large Multi-Modal Models...
Presented by Daniela Massiceti at Microsoft Research Forum, June 2024 “Today’s AI models hold incredible potential for assisting the blind community—from text recognition to object identification to...
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Driving Industry Evolution: Exploring the Impact of Generative AI on Sector...
Presented by Jiang Bian at Microsoft Research Forum, June 2024 There is “a substantial demand for advanced generative AI tailored to enhance core business operations. However, in our dialogues with...
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MatterGen: A Generative Model for Materials Design
Presented by Tian Xie at Microsoft Research Forum, June 2024 “Materials design is the cornerstone of modern technology. Many of the challenges our society is facing today are bottlenecked by finding a...
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AutoGen Update: Complex Tasks and Agents
Presented by Adam Fourney at Microsoft Research Forum, June 2024 “Agents are a very, very powerful abstraction over things like task decomposition, specialization, tool use, etc. Really, you think...
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MG-TSD: Advancing time series analysis with multi-granularity guided...
Author: Chang Xu Diffusion probabilistic models have the capacity to generate high-fidelity samples for generative time series forecasting. However, they also present issues of instability due to...
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Direct Nash Optimization: Teaching language models to self-improve with...
Presented by Corby Rosset at Microsoft Research Forum, September 2024 “The traditional way to fine-tune an LLM for post-training … basically tells the model to emulate good behaviors, but it does not...
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