Project Details
Description
The project aims to improve understanding and credibility of deep learning, working toward certifying AI systems for critical decision-making through robust testing and validation.
| Status | Active |
|---|---|
| Effective start/end date | 01.03.2025 → 28.02.2027 |
Collaborative partners
- Johannes Kepler University Linz (lead)
- TÜV Austria Holding AG
- Software Competence Center Hagenberg GmbH
Fields of science
- 101019 Stochastics
- 102003 Image processing
- 103029 Statistical physics
- 101018 Statistics
- 101017 Game theory
- 102001 Artificial intelligence
- 202017 Embedded systems
- 101016 Optimisation
- 101015 Operations research
- 101014 Numerical mathematics
- 101029 Mathematical statistics
- 101028 Mathematical modelling
- 101026 Time series analysis
- 101024 Probability theory
- 102032 Computational intelligence
- 102004 Bioinformatics
- 102013 Human-computer interaction
- 101027 Dynamical systems
- 305907 Medical statistics
- 101004 Biomathematics
- 305905 Medical informatics
- 101031 Approximation theory
- 102033 Data mining
- 102 Computer Sciences
- 305901 Computer-aided diagnosis and therapy
- 102019 Machine learning
- 106007 Biostatistics
- 102018 Artificial neural networks
- 106005 Bioinformatics
- 202037 Signal processing
- 202036 Sensor systems
- 202035 Robotics
JKU Focus areas
- Digital Transformation