evolutionary algorithm: A category of optimization algorithms influenced by the whole process of normal collection. These algorithms iteratively make improvements to methods to advanced issues by means of mechanisms like mutation, crossover, and variety.
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The thought of "a equipment that thinks" dates back to historic Greece. But given that the arrival of electronic computing (and relative to some of the topics discussed in the website following paragraphs) vital events and milestones in the evolution of AI include the next:
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bias: A systematic mistake released by an AI design on account of prejudiced assumptions in the educational algorithm or education details. Bias can result in unfair or inaccurate outcomes.
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