COGNITIVE COMPUTING INTERPRETATION: THE NEXT BOUNDARY FOR REACHABLE AND STREAMLINED NEURAL NETWORK ADOPTION

AI has achieved significant progress in recent years, with systems matching human capabilities in diverse tasks. However, the true difficulty lies not just in training these models, but in utilizing them efficiently in everyday use cases. This is where inference in AI takes center stage, arising as a primary concern for researchers and tech leaders