Machine learning in design

Machine learning in design involves computers being trained to recognize patterns and make decisions based on data, rather than being explicitly programmed for every task. In design, this means algorithms can analyze large amounts of visual or functional data to generate ideas, optimize layouts, or personalize user experiences automatically. It enables designers to work more efficiently by automating repetitive tasks and uncovering insights or options that might be overlooked. Overall, machine learning acts as a tool that enhances creativity and productivity by learning from data and assisting in more informed, data-driven design decisions.