Symbolic AI and graph algorithmics

Symbolic AI and graph algorithmics

These use cases provided by a wide variety of sectors (linguistics, oncology, energy) all aim to develop methods and implementations in the areas of artificial intelligence and graph algorithmics:

– Quantum natural language processing for sentence similarity algorithms;
– Quantum probabilistic safety assessment to increase the reliability of those assesments;
– Quantum rule-based systems for breast cancer detection.

Visit the individual use case pages to find their published results – deliverables and publications.

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