👉 Might computing, also known as MACHINE LEARNING (ML) or ARTIFICIAL INTELLIGENCE (AI), is a computing paradigm that focuses on creating systems capable of performing tasks that typically require human intelligence, such as learning from experience, understanding complex concepts, adapting to new inputs, and making decisions. Unlike traditional computing, which relies on explicit programming for every possible scenario, might computing leverages algorithms and models that can autonomously improve their performance through exposure to data. This approach enables machines to handle vast amounts of unstructured data, recognize patterns, and make predictions or decisions with minimal human intervention, making it a cornerstone of modern technological advancements in areas like natural language processing, computer vision, and autonomous systems.
