Radu Prodan is invited to give a keynote talk at the 21st EAI International Conference on Mobile and Ubiquitous Systems (MobiQuitous 2024), which will be held from November 12-14,2024, in Oslo, Norway.
Abstract:
The presentation starts by reviewing the convergence of two historically disconnected AI branches: symbolic AI of explicit deductive reasoning owning mathematical rigor and interpretability, and connectionist AI of implicit inductive reasoning lacking readability and explainability.
Afterward, it makes a case of neuro-symbolic data processing in knowledge graph representation approached by the Graph-Massivizer Horizon Europe project and applied for anomaly prediction in data centers using graph neural networks. Machine learning-driven graph sampling algorithms support its training and inference on resource-constrained Edge devices. The presentation concludes with an outlook into future projects targeting Edge large language models fine-tuned and contextualized using symbolic knowledge representation for regulatory AI compliance, job market, and medicine.