If you like simplices you might like our paper https://arxiv.org/abs/1909.00668 revisiting some old NLP ideas about tensor products, using ideas from algebra and topology
the next revolution in AI will come from from finding more sophisticated ways of injecting knowledge into machine learning, as Ernie Davis and I argue in Rebooting AI. this paper is a nice step in that challenging and important direction. h/t @EricTopolhttps://twitter.com/EricTopol/status/1168589376156098560 …
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A way to "inject" new knowledge can be to generate it via goal-directed commonsense reasoning processes based on the creative recombination of the concepts in a knowledge base. In this paper, we describe a way to do thishttps://authors.elsevier.com/a/1Zeuu4xrDwGU6u …
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Inject knowledge-what an aberration. As statistics driven machines, neural networks are inherently captive to the past. Life is about future!
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