The Swiss federal commission for innovation and technology (CTI) granted funding for a second joint project.
Mechmine and the University of Applied Sciences of Eastern Switzerland (FHO) carry out the project jointly. The project starts July 1st and has a duration of 24 months.
Project abstract:
Machine learning algorithms performing classification or prediction tasks may require thousands of training data sequences. Fetching data at a regular rate can be slow. We propose to produce lots of realistic and synthetic data stemming from a purpose built test bench and applying novel signal processing techniques.