The collaborative research center SFB876 brings together data mining and embedded systems. On the one hand, embedded systems can be further improved using machine learning. On the other hand, data mining algorithms can be realized in hardware, e.g. FPGAs, or run on GPGPUs. The restrictions of ubiquitous systems in computing power, memory, and energy demand new algorithms for known learning tasks. These resource bounded learning algorithms may also be applied on extremely large data bases on servers.
Limits to Growth Revisited - Call for Applications
The buzzword of our time, “sustainability”, is closely related to a book published 40 years ago, in 1972: “The Limits to Growth” written by an MIT project team involving Donella and Dennis Meadows. Using computer models in an attempt to quantify various aspects of the future, “Limits to Growth” has shaped new modes of thinking. The book became a bestseller and is still frequently cited when it comes to analyzing growth related to finite resources.
Objectives of the Winter School In order to give fresh impetus to the debate, the Volkswagen Foundation aims to foster new think- ing and the development of different models in all areas related to the “Limits to Growth” study at the crossroads of natural and social sciences. The Winter School “Limits to Growth Revisited” is directed specifically at 60 highly talented young scholars from all related disciplines. The Foundation intends to grant this selected group of academics the opportunity to create networks with scholars from other research communities.
more ...Together with Kanishka Bhaduri and Hillol Kargupta, Katharina Morik has edited a special issue of the international journal Data Mining and KnowledgeDiscovery. The special issue on Data Mining for Sustainability including a comprehensive introduction is now online at http://www.springerlink.com/.
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