Random noise improves performance of AI systems
Noise, i.e., superimposing random fluctuations over signals, generally makes it more difficult to interpret information. Anyone who has tried to follow the news while listening to a radio program with a fuzzy signal knows that from their own experience. However, neural networks actually seem to benefit from a slight amount of noise being mixed into the data to be processed. Read more …