Towards Neuro-Symbolic AI with Knowledge Graphs and Large Language Models

Explore the convergence of neuro-symbolic AI, knowledge graphs, and large language models in this thought-provoking 26-minute conference talk by Sören Auer. Discover the limitations of current AI models in understanding factual information and learn about a novel approach that combines the strengths of neuro and symbolic AI. Examine how incorporating knowledge graphs, such as DBpedia, can enhance AI systems' understanding of contextual information. Gain insights into the Open Research Knowledge Graph, a collaborative effort aimed at organizing scientific information for improved accessibility and comprehension. Witness practical demonstrations showcasing how human-machine collaboration and innovative techniques can revolutionize research dissemination and decision-making processes. Delve into the future of AI and knowledge representation, and understand how bridging the gap between neuro and symbolic AI can lead to more accurate, reliable, and insightful AI systems.