On behalf of the Canton of Graubünden, the UAS Grisons and SIAF are establishing the Centre for Data Analytics, Visualisation and Simulation (DAViS) in Davos to combine and support research, industry and teaching in the fields of data analytics and scientific computing with the aim of establishing a regional centre of excellence.
Process Data, Visualization, and Machine Learning
Practical Data Science: Application from Life, Medical, and Engineering Sciences
Scientific Computing: Simulation and High-Performance Computing
The possibilities of modern data use, for example by means of deep learning or in the context of climate-relevant simulations for the prediction of floods/avalanches, are an increasingly important location factor. DAViS offers research, consulting and services in all aspects of modern data processing. DAViS offers data mining, machine learning/deep learning, data visualisation and simulation as well as techniques of (massive) parallel computing for use on high-performance and supercomputers of current and future generations.
DAViS offers research services as a partner or on commission, consulting on all questions of data analysis and scientific computing, as well as on-demand computing as a service. DAViS is a cooperation project between UAS Grisons and SIAF in collaboration with the Swiss Supercomputing Centre (CSCS) in Lugano.
DAViS is not restricted to specific data formats, data sources or data content. However, special expertise lies in the areas of industrial log data and life science as well as in the connection/integration of CAD and BIM models.
- Machine Learning
- Deep Learning
- Data Mining and Process Mining
- Predictive Maintenance
- (Immersive) Data Visualisation
- Linked (Open) Data
- Multi-scale simulation
- Efficient numerical methods
- Parallel Computing/High-Performance Computing (HPC)
- Life Science Data (SIAF)
- Industrial log data
- Own hardware capacities (SIAF and UAS Grisons)
- Access to the HPC capacities of the CSCS in Lugano
- Modelling and simulation
- Scalable parallelisation concepts
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