The Evolution of AI: From Rule-Based Systems to Deep Learning
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Introduction This transformation in AI from an inception with simple rule-based systems to infinitely complex deep learning models has also been essentially the history of a constant effort to build devices that look like human intelligence or do tasks with increasing autonomy and efficiency. For anyone tempted to know much more about this absorbing field, an AI course in Coimbatore will help to give some insight and definitely offer hands-on experience. The Dawn of AI: Rule-Based Systems In the 1950s and 1960s, most design of AI systems occurred. Rule-based systems are what these systems belonged to: they had predefined codes that gave them the ability to perform certain specific jobs with limited domains. ELIZA is an example of such a program, written in the 1960s to simulate conversation through pattern matching and substitution techniques. Though this was an enormous innovation, such systems could neither learn from data nor adapt to new situations, which abetted their limita...