The project “Bilateral AI” aims at lifting artificial intelligence (AI) to the next level. Current AI systems are in a sense narrow. They center on a specific application or task such as object or speech recognition. Our project will combine two of the most important types of AI which have been developed separately so far: symbolic and sub-symbolic AI. While symbolic AI works with clearly defined logical rules, sub-symbolic AI (such as ChatGPT) is based on training a machine with the help of large datasets to create intelligent behavior. This integration, resulting in a Broad AI, is intended to mirror
something that humans do naturally: the simultaneous use of cognition and reasoning skills.
BilAI researchers were strongly represented at the 34th ACM International Conference on User Modeling, Adaptation and Personalization (UMAP 2026), one of the leading international venues for research on personalized and adaptive interactive systems.
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We’re delighted to announce that BilAI key researcher Silvia Miksch was elected as a Eurographics Fellow 2026!
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Gerhard Friedrich, key researcher and member of the BilAI Board of Directors, and his team at the University of Klagenfurt have achieved a major breakthrough in automated problem solving with "CheckMate". A patent for the invention has already been filed.
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