Exploring efficient algorithms and theoretical limits.
We develop innovative solutions for computational challenges and educate the next generation of computer scientists at TU Wien.

Bilateral AI combines symbolic AI (logic and reasoning) with sub-symbolic AI (machine learning) to move beyond narrow, task-specific systems toward Broad AI. The goal is adaptable, efficient, and explainable AI capable of solving complex real-world problems across domains such as healthcare, mobility, and sustainability.
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