INTERPRETING BY MEANS OF NEURAL NETWORKS: THE APEX OF PROGRESS ENABLING RAPID AND UNIVERSAL COMPUTATIONAL INTELLIGENCE SOLUTIONS

Machine learning has advanced considerably in recent years, with systems matching human capabilities in numerous tasks. However, the real challenge lies not just in developing these models, but in utilizing them optimally in practical scenarios. This is where inference in AI becomes crucial, surfacing as a primary concern for researchers and indust