Diffusion For Noise Management and Data Recovery
When training artificial intelligence (AI) models, noise is often viewed as a challenge that corrupts data and interferes with model accuracy. However, diffusion—a process that adds intentional noise to data during training—flips this assumption. By training models to reverse the noise and reconstruct the original data, diffusion enhances their ability to work with imperfect or […]
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