Monthly Archives: June 2023

A Hierarchical Model for Data Processing: An Examination of the M.E.L.A.N.I.E. Framework

Abstract In the realm of artificial intelligence and machine learning, the trajectory of data through a series of computational agents forms a complex narrative. This paper explores this narrative through the lens of a hierarchical model, wherein data undergoes a series of transformations, each conducted by a distinct agent. The M.E.L.A.N.I.E. framework, an acronym encapsulating […]