Google Levels Up On Machine Learning, Introduces TensorNetwork Library

Google’s AI and machine learning department can’t be stopped and keeps releasing open source projects – TensorNetwork is the latest addition to the tool zoo and aims at facilitating the manipulation of tensor networks.

It was developed together with the Perimeter Institute for Theoretical Physics, which recently hit the news as one of the collaborators behind the black hole images released earlier this year, and Alphabet subsidiary X.

TensorNetwork is meant to help physicists as well as machine learning researchers to implement algorithms that make use of sparse data structures called tensor networks. The latter stem from the world of physics. There they are, for example, used to deal with quantum states in various subfields of quantum physics by offering a more suitable representation for high-dimensional tensors, which is another name for multi-dimensional arrays. READ MORE ON: DEV CLASS

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