👉 Learned computing refers to the application of machine learning techniques to solve complex problems in a variety of domains, enabling systems to learn and improve from data without explicit programming. This approach involves training algorithms on large datasets to recognize patterns, make predictions, and perform tasks such as image recognition, natural language processing, and decision-making. Unlike traditional programming, where rules are explicitly coded, learned computing systems adapt and evolve based on the data they process, making them highly effective in dynamic environments where explicit rules might be insufficient or impractical to define. This paradigm has revolutionized fields like healthcare, finance, and autonomous systems by enabling more intelligent, efficient, and scalable solutions.
