👉 Computing genesis, often abbreviated as CG, refers to the initial phase of artificial intelligence (AI) research that focuses on creating systems capable of autonomous learning and problem-solving without explicit programming. It emerged in the 1950s as researchers sought to simulate human cognitive processes, such as perception and reasoning, using computational models. CG aims to develop machines that can learn from data, adapt to new situations, and perform tasks with minimal human intervention. This foundational phase laid the groundwork for modern machine learning, deep learning, and neural networks by exploring how algorithms could mimic human intelligence through self-improvement and pattern recognition.
