In their paper LLMasMMKG: LLM Assisted Synthetic Multi-Modal Knowledge Graph Creation For Smart City Cognitive Digital Twins, which was published in the AAAI Fall Symposium series, and introduced an approach that leverages large language models to automate the construction of synthetic multi-modal knowledge graphs specifically designed for a smart city cognitive digital twin. Here, Sukanya tells us more about cognitive digital twins, the framework they employed, and some key results. Could you start by introducing the idea of smart city cognitive digital twins and why this is an interesting area for study? Cities grow increasingly complex and interconnected, demanding sophisticated tools for management. A cognitive digital twin (CDT) serves as an AI-enabled virtual replica that models the dynamic interplay of physical and social systems, enabling simulations, predictions, and optimized operations.

Ontologies are useful for automatic machine processing of domain knowledge as they represent it in a structured format.

Neural Information Processing Systems http://nips.cc/

Each question and answer group has a unique list of corresponding visuals used for image creation. The list of visible objects, which combines the correct-answer objects with an arbitrary'noise' object

Lifelong learners must recognize concept vocabularies that evolveover time.