Artificial Intelligence
Building intelligent machines that complement human reasoning and extend what people can do.
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Lightning talks: AI in healthcare
This series of lightning talks explores how precision health research is being translated into clinical impact, including Microsoft Health Futures collaborations with clinical partners such as Providence. -Lightning Talk (15 mins): The Connected Imaging Instrument…
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Panel discussion: From AI research to application in AAA-games
Gaming is by far the largest entertainment industry, reaching over 3 billion players in 2022. And the gaming industry is continuously looking for new ways to engage players and manage the ever-increasing complexity of creating…
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Panel discussion: Ambient clinical intelligence the next frontier of AI
Ambient technology captures and contextualizes the doctor-patient conversation and automatically documents care in the EMR. Today, this innovation is transforming the provider-patient relationship, alleviating burnout, and improving documentation quality. Tomorrow, the opportunities for the human…
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Fireside chat: What’s next in large-scale AI
We are approaching AI from different perspectives, which include not only creating more powerful models, but also developing unique ways to create AI techniques that are innovative, fair, and responsible while being mindful of emerging…
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Plenary: The fifth paradigm of scientific discovery
Chris Bishop, technical fellow and director of Microsoft Research AI4Science joins colleagues and collaborators across Microsoft Research to discuss how deep learning is set to have a transformational impact on the sciences – including potential…
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Lightning talks: Training and inference efficiency
To bring AI to more people, models need to be cheaper to train and run, in terms of both computational and human resources. Increasing efficiency across various parts of the training and inference pipeline includes…
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Research talk: Differentially private fine-tuning of large language models
We have come a long way in terms of protecting privacy when training ML models, particularly with large language models. We recently demonstrated that using differentially private stochastic gradient descent (DP-SGD) to fine-tune very large…
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Lightning talks: Aligning models with human intent
Making AI more seamlessly integrated with human intelligence is needed to align it with human goals. For the AI we develop to benefit people, we need to facilitate intuitive human-AI collaboration and effective human oversight…
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Keynote with guests: Toward AI that empowers more people more of the time
While there remains much to learn about the nature of intelligence, human or otherwise, we use our intelligence every day to advance a breadth of pursuits as diverse as we are, spanning work and play.…
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AI for Industry Simulations
AI for Industry Simulations is a project for training large-scale surrogate models for solving partial differential equations (PDEs) with deep learning. We target large-scale three-dimensional applications as common in industrial applications such as reservoir simulation.…