Machine Learning research in our center covers a number of topics and domains. We focus on ML in the field of log analysis and also explore its various applications in cybersecurity and journalism.
AI for Log Processing
A research cluster around Jan Drchal develops methods similar to those used in Natural Language Processing, but instead of human spoken languages, our focus is on log messages. Our main interest lies in transforming them into forms appropriate for downstream ML tasks, i.e., log embeddings.
The results are highly applicable in many areas. We can help administrators understand the logs better by smart visualizations of the messages based on their clustering. We work on methods of log anomaly detection with Red Hat. We also develop log-based systems for the prediction of manufacturing process durations for Škoda Auto a.s.