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neural nets

Why computer programs that mimic the human brain will continue to underperform

Our physics color commentator Rob Sheldon offers a comment on whether simple probabilities can outweigh “deep learning” (as noted earlier here. ) When neural nets [computer programs that mimic the human brain] were all the rage in physics, some 25 years ago, I spoke with the author of a paper who was using neural nets to predict space weather. After a year of playing with predictive abilities of various 1-level, 2-level and higher node nets, he confided that they reached a certain level of ability and then failed to improve. What made them better, he told me, was having more physics inserted into the model. That is, the nets couldn’t recreate Newton’s Laws, and if presented with just raw data, Read More ›