NEURAL NETWORKS EXECUTION: THE FOREFRONT OF IMPROVEMENT OF UNIVERSAL AND SWIFT COMPUTATIONAL INTELLIGENCE IMPLEMENTATION

Artificial Intelligence has advanced considerably in recent years, with models surpassing human abilities in diverse tasks. However, the main hurdle lies not just in creating these models, but in utilizing them optimally in real-world applications. This is where machine learning inference takes center stage, surfacing as a key area for scientists a