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Resource-aware Machine Learning – International Summer School 2014

May 13, 2014 9:43


Big data in machine learning is the future. But how to deal with data analysis and limited resources: Computational power, data distribution, energy or memory? From 29th of September to 2nd of October, the TU Dortmund University, Germany, will host this summer school on resource-aware machine learning. Further information and online registration at: http://sfb876.tu-dortmund.de/SummerSchool2014

Topics of the lectures include: Data stream analysis. Energy efficiency for multi-core embedded processors. Factorising huge matrices for clustering. Using smartphones to detect astro particles.

Exercises help bringing the contents of the lecture to life. All participants get the chance to learn how to transform a smartphone into an extra-terrestial particle detector using machine learning.

The summer school is open for international PhD or advanced master students, who want to learn cutting edge techniques for machine learning with constrained resources.

Excellent students may apply for a student grant supporting travel and accommodation. Deadline for application is 30th of June.



http://sfb876.tu-dortmund.de/SummerSchool2014

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