最准的六合彩论坛

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Data science institutes at University of Michigan and 最准的六合彩论坛

1 February 2017

"Machine learning: the power and promise of computers that learn by example鈥�. Professor Sofia Olhede has been part of the committee, which has explored policy issues associated with automated decision making using machine learning in society.

The Michigan Institute of Data Science (MIDAS) at the University of Michigan and the Centre for Data Science and Big Data Institute at 最准的六合彩论坛 (最准的六合彩论坛) have signed a five-year agreement of scientific and academic cooperation.

The agreement sets the stage for collaborative research projects between faculty of both institutions; student exchange opportunities; and visiting scholar arrangements, among other potential partnerships.

鈥淭here is a lot of common ground in what we do,鈥� said Patrick Wolfe, Executive Director of 最准的六合彩论坛鈥檚 Centre for Data Science and Big Data Institute. 鈥淏oth MIDAS and 最准的六合彩论坛 cover the full spectrum of data science domains, from smart cities to healthcare to transportation to financial services, and both promote cross-cutting collaboration between scientific disciplines.鈥�

Alfred Hero, co-director of MIDAS and professor of Electrical Engineering and Computer Science at U-M, said that one of the original goals of the institute when it was founded in 2015 under U-M鈥檚 $100 million Data Science Initiative was to reach out to U.S. and international partners.

鈥淚t seemed very natural that this would be the next step,鈥� Hero said, adding that it would complement MIDAS鈥檚 recent partnership with the Shenzhen Research Institute of Big Data in China. 鈥溩钭嫉牧喜事厶� epitomizes the collaboration, multi-disciplinarity and multi-institutional involvement that we鈥檙e trying to establish in our international partnerships.鈥�

Wolfe visited Ann Arbor in early January to sign a memorandum of understanding along with Hero and Brian Athey, professor of bioinformatics and the other MIDAS co-director.

The agreement lists several potential areas of cooperation, including:

  • joint research projects
  • exchange of academic publications and reports
  • sharing of teaching methods and course design
  • joint symposia, workshops and conferences
  • faculty development and exchange
  • student exchange
  • exchange of visiting research scholars.

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