From Data Science to Data Intelligence
Today, we live in a data-driven world and new directions in data-driven research have already revolutionized big data applications such as gaming, Internet vision, machine translation, and spell checking by bringing machine learning to the core of the information revolution. But to continue to drive innovation, three fundamental aspects of data-driven research need to change: data must be made available to the research community to allow for benchmarking, reproducibility and transparency of experimentation need to happen to enable science, and researchers need to work on solving big and real world problems to advance the state of the art.
This session of the 2013 Microsoft Research Faculty Summit addresses data-driven research by exploring the status of data sharing in data science and looking at what data intelligence may be.
- 日期:
- 演讲者:
- Leon Bottou and Percy Liang
- 所属机构:
- Microsoft Research, Stanford University
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Jeff Running
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Leon Bottou
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系列: Microsoft Research Faculty Summit
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Quantum Computing and Workforce, Curriculum, and Application Development: Case study
Speakers:- Krysta M. Svore,
- Martin Roetteler
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Crowd, Cloud and the Future of Work: Updates from human AI computation
Speakers:- Besmira Nushi,
- Vani Mandava
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Empowering People to Achieve More: How Useful a Concept is Productivity?
Speakers:- Brendan Murphy
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Productivity in Software Development
Speakers:- Neel Sundaresan,
- Margaret-Anne Storey,
- Prem Kumar Devanbu
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Accessible Virtual Reality
Speakers:- Eyal Ofek
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Calendar.help: A Virtual Meeting Scheduling Assistant
Speakers:- Pamela Bhattacharya
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Visual Studio IntelliCode
Speakers:- Mark Wilson-Thomas
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Microsoft Teams: Collaborate with Any Researcher Anywhere
Speakers:- Jethro Seghers
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Project Alava: Programming Webs of Microcontrollers
Speakers:- James Devine,
- Teddy Seyed
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AI in PowerPoint
Speakers:- Kostas Seleskerov