What is Radboud AI?
Radboud AI is a campus-wide initiative connecting all activities on Artificial Intelligence and Data Science within Radboud University and Radboudumc. Radboud AI strives for the development of human-centered AI technology, which can form the basis for creating practical applications for the benefit of society. In addition to doing fundamental research on the development of new AI algorithms, our researchers study the societal impact of using these techniques in several application areas such as healthcare, communication, education, neuroscience, and the natural sciences. Radboud AI takes an integrated perspective on AI, where the collaboration of scientists from different fields is essential for the development of AI technologies that are transparent, responsible, sustainable, and socially aware.
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Our mission: Connecting AI
Inspired by the human brain, Radboud University is a global frontrunner on research about innovative intelligent learning systems. To maintain our leading position we develop new know-how and technologies that connect different fields of AI, science, and society in a responsible manner. Our scientists and students from all faculties work together with industry to create new solutions that allow for a future where privacy, security, and understanding of AI is valued. In order to develop human-oriented AI innovations we work closely with our researchers at Radboudumc.
The Radboud AI Logo Design Competition has come to an end and the results are in! We want to congratulate our winners and thank all participants for their submissions. We hope you had fun making them!
Multimodal Communication Studies (MCS) is an AI-centred point of gravity within the contributions of the Faculty of Arts to Radboud AI. It was decided to develop two types of educational building blocks, one for the alignment of speech and text, and one for the alignment of sign language to other modalities such as text and audio.
The Donders Institute is looking for an early career postdoc on brain-inspired deep learning for robots for the international project DEEPSELF. DEEPSELF is a project that lies between machine learning and cognitive science to investigate the emergence of agency in artificial entities by learning hierarchical predictive encodings of events.