Research & Academic Partnerships

Research & Academic Partnerships

Peer-reviewed research

The collaborative research conducted between Art Recognition and the Department of Cognitive Science & Artificial Intelligence (CSAI) at the University of Tilburg has been published following a rigorous peer-review process. The findings presented in the paper underscore the remarkable potential of Transformers — an advanced neural network architecture originally tailored for extensive language models such as ChatGPT — in the domain of image classification for art authentication. This innovation marks a significant stride in enhancing the reliability of computer-based authentication for artworks, resulting in heightened precision and confidence throughout the authentication process. Another peer-reviewed scientific article, co-authored by Art Recognition and the Department of Mathematical Sciences at the University of Liverpool, has been released. This article demonstrates the capability of our AI system to effectively resist adversarial attacks after incorporating AI-generated images into its training dataset.

Publicly accessible reference dataset

At Art Recognition, our mission to staying at the forefront of AI research remains unwavering. Our developers work tirelessly to consistently enhance our algorithm and remain aligned with the latest advancements in Artificial Intelligence research. True to our commitment to transparency, we have made our Raphael training dataset available to all, setting a new benchmark for quality in our field. Access it here.

Scientific networks

Art Recognition is fortunate to have the backing of exceptional Swiss and European scientific networks. We have received funding for a research project from Eureka, the world’s largest public network for international collaboration in R&D and innovation. Additionally, we take pride in being supported by the leading Swiss Innovation Agency, Innosuisse.

Academic partnerships

Our partnership with Tilburg University in the Netherlands has been ongoing for already four years. Prof. Dr. Eric Postma, the group’s leader, serves as a scientific advisor at Art Recognition and is a pioneer in utilizing computer vision techniques for art authentication. Furthermore, we engaged in a collaboration with the University of Liverpool in the UK for an exciting project exploring the effects of AI-generated forgeries on art authentication, as well as how our AI system can effectively counter adversarial attacks.

Promoting young talents

We regularly welcome interns and master students into our team. We offer supervise master theses and present captivating master projects to exceptional students. If you are a master student in Computer Science or a related field, as well as Art History, feel free to get in touch with us to explore the exciting projects we have awaiting you!