The Future Of Machine Learning: A New Breakthrough Technique

Researchers from New York University and Spain’s Pompeu Fabra University have developed a technique called Meta-learning for Compositionality (MLC) that advances the ability of artificial neural networks and related technologies to make compositional generalizations. This technique outperforms existing approaches and is on par with, and in some cases better than, human performance. MLC centers on the idea of using meta-learning to train a model to understand the composition of language.