Geoscientific data are heterogeneous and rich data sources. Machine Learning and Deep Learning techniques have a huge potential for their interpretation.
On 26th of March we will meet in the Laboratory of IKG and explore two datasets. The first dataset consists of downhole logs from a sea bottom drill project. The second dataset contains raster data from electron microscopy of minerals. The goals are to develop novel approaches in the context of stratigraphic sequences and residence/eruption time estimation. If you want to participate, please register under info@icaml.org, this event is open to all scientists interested in machine learning.
www.icaml.org/news/icaml/2019/02/11/Hack_the_Rock.html
Date:
26.03., from 10:00 am
27.03., 02:00 pm - presentation of results
Venue: Computer lab of the IKG (6th floor), Appelstraße 9a (building number 3408)
