About the project
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.
Distinguished Paper Award at IJCAI 2025 in Montreal!
Our board member Agata Ciabattoni, along with Emery Neufeld and Radu Florin Tulcan, have won the Distinguished Paper Award at the International Joint Conference on Artificial Intelligence (IJCAI) 2025 for their paper “Combining MORL with Restraining Bolts to Learn Normative Behaviour”.
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New Spin-off creates symbolic solutions for complex decisions
A new spin-off, founded by BilAI researcher Max Heisinger, focuses on optimising product variant selection and simplifying configurator development.
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Smarter recommendation systems that really know what I might need
How do you teach a computer to think? Not just calculating, remembering or combining information – but real, creative, human-like thinking? This is precisely the question that drives Ali Kookani, a doctoral student in the FWF-funded Cluster of Excellence "Bilateral AI" and his research.
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