Our areas of interest
We focus our efforts around several major broad areas, chosen for their relevance to our team, our product portfolio and for our partners and society at large. We pursue topics and ideas which have an impact across multiple domains, are of practical relevance in industry and reflect the needs and possibilities of practitioners.

Our AoIs

Safety and reliability in ML systems

Data-driven automation requires methods ensuring the safety of systems and their users. Results must be reproducible

Efficient Machine Learning

Modern AI suffers from ever-increasing costs in time, infrastructure and energy. Efficient methods requiring less data and computation are paramount for the economical viability of projects using ML in companies of all sizes, and, …

Trustworthy and interpretable ML

Automating decisions based on data is a multifaceted problem with many pitfalls. We tackle multiple ends of the spectrum, from the detection of anomalies to calibration of models and Bayesian decision-making.

Advances and fundamentals in ML

As in any science, fertility in Machine Learning also comes from cross-pollination. Keeping an eye open for interesting development across as many of the fields in ML as possible, we hope to identify developments with great potential. This …