DEDUCING THROUGH AUTOMATED REASONING: A REVOLUTIONARY PERIOD FOR OPTIMIZED AND REACHABLE NEURAL NETWORK ARCHITECTURES

Machine learning has achieved significant progress in recent years, with algorithms surpassing human abilities in various tasks. However, the main hurdle lies not just in developing these models, but in utilizing them efficiently in everyday use cases. This is where inference in AI takes center stage, emerging as a primary concern for researchers a