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Can the machine judge autonomously and solve all challenges or objectives optimally? Has the machine an autonomous route to select the optimal algorithm and hardware for a particular application that achieves the utmost accuracy and efficiency? Despite the advancements in automated machine learning and deep reinforcement learning algorithms, the machine cannot choose and build the optimal algorithm autonomously for every application with zero support from an expert. Our research reveals the vital decision optimization route with multi-stage objectives, algorithm suitability to an application, accuracy, efficiency, and continuous information updates to have the machine architects the optimal algorithm. The real-life application of AAIAA enables faster decisions for humanity in all aspects of life, including but not limited to human prosperity, innovation, planetary exploration, and life longevity. |
