2024: Validating of artificial intelligence-based concept for decoding low-power signals

The challenge of the project is to adjust the resolution of the scanning technology based on Cosmic Muon Rays. We tested and validated a new approach to the detection of the muon hits from noisy measurements as well as recovering the missing muon hits. This approach aims at fast detection of muon rays and generating predictions for missing data points by utilizing contemporary AI technologies, including advanced pattern recognition capabilities of neural networks.