The international Summer School on resource-aware Machine Learning brings together lectures from the research area of data analysis (Machine Learning, data mining, statistics) and embedded systems (cyber-physical systems). It aims at taking into account the constraint of limited resources of host devices used for data analysis. The lectures are held by leading experts in these domains. The Summer School is organized in a joint effort of the Competence Center for Machine Learning (ML2R) and the Collaborative Research Center 876 (SFB 876). Due to the Coronavirus pandemic the Summer School takes place as an virtual event on the internet.
Online (webinar system announced later)
As the Summer School will be a virtual event, there will be no registration fee.
Registration Opens: 1st of June 2020
Begin: 31st of August 2020
End: 4th of September 2020