Artificial intelligence (AI) is revolutionizing business and product testing by mitigating bias and improving efficiency. In consumer research, AI helps create representative test groups, enhances survey efficiency, and enables more accurate A/B testing. For complex products like software and electronic chips, AI significantly shortens long testing cycles. AI models, including Generative Adversarial Networks (GANs) and Graph Neural Networks (GNNs), optimize the process by generating superior test cases and predicting code coverage, which accelerates validation. As AI is increasingly used to generate code, AI-driven testing becomes crucial for ensuring product reliability and catching subtle errors.
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