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.
The Public AI Hackathon, powered by TU Austria and the Austrian Federal Chancellery (BKA), brought together a selected group of researchers and practitioners to address key challenges in AI for public administration.
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A team of researchers collaborating within the Cluster of Excellence Bilateral AI received the Outstanding Paper Award at the “ICLR 2026 for their paper “From Natural Language to Exact Cover: A Neuro-Symbolic Approach to Zebra Puzzles”.
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It was four years ago that BilAI key researcher Robert Legenstein last spoke on the podcast about his research into artificial intelligence. An incredible amount has happened since then.
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