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management, on an individual and collective level, based on a leading physics/neuroscientific theory about computation in the brain, the Free Energy Principle (FEP). You will work closely with industry
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representations in the form of ontologies, knowledge graphs, and neuro-symbolic learning, offering sound grounding also for Large Language Model (LLM) outcomes to drive knowledge-infused AI. The incorporation
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in HCAI in HumAIne is based on knowledge representations in the form of ontologies, knowledge graphs, and neuro-symbolic learning, offering sound grounding also for Large Language Model (LLM) outcomes
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logic-based methods); non-standard computational models (e.g., quantum and bio-inspired computation); security and privacy (e.g., homomorphic encryption and anonymity); computational geometry, graph