NEURAL NETWORKS REASONING: THE APPROACHING PARADIGM POWERING UNIVERSAL AND AGILE COMPUTATIONAL INTELLIGENCE DEPLOYMENT

AI has made remarkable strides in recent years, with systems surpassing human abilities in diverse tasks. However, the real challenge lies not just in training these models, but in utilizing them optimally in real-world applications. This is where inference in AI comes into play, emerging as a primary concern for scientists and tech leaders alike.U

Artificial Intelligence has achieved significant progress in recent years, with algorithms achieving human-level performance in various tasks. However, the main hurdle lies not just in creating these models, but in implementing them optimally in everyday use cases. This is where machine learning inference becomes crucial, surfacing as a key area fo