The enormous computing resources needed to train neural networks for artificial intelligence (AI) result in massive power consumption. Researchers have developed a method that is 100 times faster and therefore much more energy efficient. Instead of taking an iterative approach, the parameters are computed directly based on probabilities. The results so far are comparable in quality to existing iterative methods.
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