COMPUTATIONAL INTELLIGENCE EXECUTION: THE FOREFRONT OF IMPROVEMENT DRIVING LEAN AND PERVASIVE MACHINE LEARNING ARCHITECTURES

AI has made remarkable strides in recent years, with algorithms surpassing human abilities in numerous tasks. However, the real challenge lies not just in developing these models, but in deploying them optimally in everyday use cases. This is where inference in AI takes center stage, arising as a primary concern for researchers and innovators alike

AI has achieved significant progress in recent years, with models achieving human-level performance in diverse tasks. However, the real challenge lies not just in developing these models, but in utilizing them efficiently in real-world applications. This is where machine learning inference comes into play, arising as a key area for experts and indu