REASONING USING AUTOMATED REASONING: A DISRUPTIVE GENERATION TOWARDS HIGH-PERFORMANCE AND UNIVERSAL COMPUTATIONAL INTELLIGENCE SYSTEMS

Machine learning has advanced considerably in recent years, with algorithms achieving human-level performance in numerous tasks. However, the true difficulty lies not just in creating these models, but in implementing them optimally in practical scenarios. This is where machine learning inference comes into play, arising as a primary concern for re