DEEP LEARNING DECISION-MAKING: A DISRUPTIVE CYCLE ENABLING UNIVERSAL AND SWIFT AUTOMATED REASONING OPERATIONALIZATION

Machine learning has advanced considerably in recent years, with algorithms achieving human-level performance in diverse tasks. However, the main hurdle lies not just in creating these models, but in implementing them optimally in practical scenarios. This is where machine learning inference becomes crucial, surfacing as a key area for researchers