Human-computer interaction
Redefining human experiences through innovations in research, design, and technology.
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Plenary: New Developments in Human-Computer Interaction
Join Mary Czerwinski and several of her colleagues at Microsoft Research for a look across some of the latest work in human-computer interaction. They’ll explore advances that are helping us manage and get more value…
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Panel: Developer velocity and productivity
The socio-technical nature of the software development process has continually taken a prominent role in how software systems has evolved. Microsoft, as the global leader in software development, is home to the world’s largest developer…
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Technology demo: Using technology to combat human trafficking
Microsoft is a founding member of Tech Against Trafficking (TAT) – a coalition of organizations working to combat human trafficking with technology. In this session, we will introduce partnerships with the Counter Trafficking Data Collaborative…
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Panel: The future of search and recommendation: Beyond web search
The increasing ability to learn representations of text, code, and even medical chemical compounds is changing what and how people search in every domain. In this panel, we bring together experts from industry and academia…
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Opening remarks: New future of work
Learn more about the 2021 Microsoft Research Summit: https://Aka.ms/researchsummit
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Panel: Preparing for the next generation of developer communities
As more people are programming for a purpose, they have turned to online communities and resources to grow their developer skills. But there are a few open questions about how people are engaging in these…
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Opening remarks: Empowering software developers and mathematicians with next-generation AI
Machine learning systems have become increasingly capable of making fast, plausible predictions in diverse situations. Combining this capability with the reliability of symbolic reasoning will produce next generation AI that will empower developers and mathematicians…
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Research talk: Local factor models for large-scale inductive recommendation
In many domains, user preferences are similar locally within like-minded subgroups of users, but typically differ globally between those subgroups. Local recommendation models were shown to substantially improve top-k recommendation performance in such settings. However,…
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Closing remarks: Empowering software developers and mathematicians with next-generation AI
Machine learning systems have become increasingly capable of making fast, plausible predictions in diverse situations. Combining this capability with the reliability of symbolic reasoning will produce next generation AI that will empower developers and mathematicians…
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Panel: Building for societal resilience
We are learning that building for societal resilience requires change in how we pursue research and engineering. This panel discusses what we have learned during the COVID response: how existing projects adapted to new and…
