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Teaching AIs forgetfulness could make them better at their jobs While modern machine learning systems act with a semblance of artificial intelligence, the truth is they don’t “understand” any of the data they work with which in turn means they tend to store even trivial items forever. Facebook researchers have proposed structured forgetfulness as a way for AI to clear the decks a bit, improving their performance and inching that much closer to how a human mind works. The researchers describe the problem by explaining how humans and AI agents might approach a similar problem. Say there are 10 doors of various colors. You’re asked to go through the yellow one, you do so and then a few minutes later have forgotten the colors of the other doors because it was never important that two were red, one plaid, two walnut, etc., only that they weren’t yellow and that the one you chose was. Your brain discarded that information almost immediately. ....
May 14th, 2021 BrianAJackson via Getty Images Computers are just too good at remembering all the stuff we teach them. Normally, that’s fine; you wouldn’t want the systems that maintain your medical or financial records to start randomly dropping 1s and 0s (OK, well maybe the one that tracks your credit card debt, but other than that). However, these systems generally do not discriminate between information sources, meaning every bit of data processed with equal vigor. But as the amount of information available increases, AI systems must expend more and more finite computing resources to handle it. Facebook researchers hope to help future AIs pay better attention by ....
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