When it arrives to AI, can we ditch the datasets? | MIT News

Enormous amounts of data are desired to prepare equipment-mastering designs to accomplish picture classification tasks, these types of as determining damage in satellite photographs pursuing a natural catastrophe. On the other hand, these data are not normally simple to come by. Datasets may well value thousands and thousands of pounds to generate, if usable information exist in the very first spot, and even the greatest datasets frequently have biases that negatively impact a model’s general performance.

To circumvent some of the problems offered by datasets, MIT researchers developed a strategy for coaching a machine studying design that, relatively than making

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