Design an automated machine learning system that can automatically design and optimize machine learning pipelines for a given dataset and task, with minimal human intervention. Focus on implementing efficient algorithms for neural architecture search, hyperparameter optimization, and automated feature engineering. Address challenges like handling diverse types of datasets and tasks, optimizing for multiple objectives (e.g., accuracy, latency, model size), providing interpretable and explainable results, and efficiently utilizing computational resources during the search process.