Researchers from Cinqui University introduce a novel machine learning algorithm under the meta learning paradigm. They're looking at combinations of using labeled and unlabeled data. It's called semi supervised learning, an established thing in the field that goes back for quite some time. And they come up with a technique that allows them to intelligently kind of, let's say, balance which samples kind of wait to be trained on more than others.

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