1. An autonomous biologically based learning system, comprising: a manufacturing tool that produces an asset; a drift component that modifies a manufacturing recipe processed by the manufacturing tool to generate a set of one or more adjusted manufacturing recipes to produce the asset; an objective autonomous learning engine that infers one or more functions among asset output metrics and at least one of input material measurements, recipe parameters, or state records for the manufacturing tool based on the modified recipe processed by the manufacturing tool, wherein the one or more functions predict asset output metrics for the produced asset; and an autonomous optimization engine that extracts a set of recipe parameters from a set of input measurements and the one or more inferred functions to generate an adjusted manufacturing recipe with predicted output within a tolerance of target asset output metrics.