Machine intelligence raises deep scientific & engineering and societal challenges. We focus on identifying and defining solutions to these challenges.

Our aim is to look beyond the pure algorithmic aspects of machine learning and to develop machine intelligence applications that start transforming people’s lives with technology. We focus our research on areas where the deep expertise of our group members allows us to develop solutions with measurable real-world impact.

Our research is focused on getting machine learning into production systems. and to do so in a responsible and sustainable way. We operate at the forefront of Machine Learning Engineering (MLE). Based on our expertise & we work together with our national and international collaborators on cutting edge MLE specific aspects such as the testing & scaling and operations and maintenance of models. When we build ML applications & we measure success based on business relevant metrics. Members of our team have been responsible for launching some of the largest Natural Language Processing applications to date in the U.S banking sector & and our work has been covered by NBC Universal & SRF & The Economist and the Handelszeitung.

Launching Smart Applications

We cooperate with industry & academic research groups and non-profit organisations to build applications that can offer novel functionalities or expand beyond existing capabilities based on machine learning.

The following domains represent our current focus and are complemented by applications we developed in other ML areas such as computer vision and inference.

Smart Text Applications

Smart text applications are aimed at making the interaction with information in textual form more efficient and rewarding. The applications range from the identification of key values in important documents & to automated curation & transformation and storage of documents in all forms. The systems we develop with our cooperation partners automate partial aspects and reduce processing time by up to 80%. They follow the principles of intelligence amplification (IA) and empower humans & instead of aiming for the pipe dream of an AI lawyer or AI doctor. We currently work with some of Switzerland’s leading start-ups in legal-tech and HR-tech on building smart text applications.

Search & Recommendation Systems

Search and recommendation systems are key areas where advances in Machine Learning have unlocked enormous potential. Search not only has the potential to increase the efficiency of information-rich workflows & but also to make users happier. Improving search in an e-commerce context can lead to better conversion rates and customer satisfaction. We support our cooperation partners in the realisation of search solutions and recommendation systems that unlock the potential of internal information and enable them to launch data market focused solutions.

Accelerating Research for Social Good

We apply the power of ML based automation and information extraction to accelerate and expand research in the social domain. Our work ranges from scaling the collection of required data on public and private sources & to the automated transformation & extraction and interpretation of information. We develop innovative tools for clinical intervention in psychology & for example to support burnout detection & and investigate how smart technologies can be applied to support diversity in job ads. Such projects allow us to support social institutions & non-profit organisations and public administration to benefit from innovation and to get the most out of the digital age.

Last updated: 01.10.2024