👉 Guided computing is an approach that combines human intuition and domain expertise with the computational power of algorithms to solve complex problems more efficiently. It involves a collaborative process where humans provide high-level goals, constraints, and feedback to guide the automated computational processes, such as machine learning models or optimization algorithms. This method leverages the strengths of both humans—creative thinking, contextual understanding, and adaptability—and machines—speed, precision, and the ability to process vast amounts of data. By iteratively refining solutions through this human-machine interaction, guided computing enhances the quality and relevance of outcomes, making it particularly effective in domains like scientific research, engineering design, and strategic decision-making where human insight is crucial yet computational resources are limited.