A math idea that may dramatically reduce the dataset size needed to train AI systems

A pair of statisticians at the University of Waterloo has proposed a math process idea that might allow for teaching AI systems without the need for a large dataset. Ilia Sucholutsky and Matthias Schonlau have written a paper describing their idea and published it on the arXiv preprint server.

from News on Artificial Intelligence and Machine Learning https://ift.tt/31AksOO
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