Abstract: Classification tasks have long been a central concern in the field of machine learning. Although deep neural network-based approaches offer a novel, versatile, and highly precise solution ...

Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?

Abstract: The complexity and high cost of diagnosing neurodevelopmental diseases such as Autism Spectrum Disorder (ASD) has led to the need to search, create, and implement computational tools based ...