Google White Paper Explains How ‘Bert’ Its Cloud-Based A.I. Analytics Tool, Will Improve Patent Quality

An article by Bruce Berman.

Data scientists at Google Cloud recently published a paper extolling the virtues of its open-source algorithm that can perform more extensive and accurate patent searches faster and improve patent quality.

“Today, we are excited to release a white paper that outlines a methodology to train a BERT(bidirectional encoder representation from transformers) model on over 100 million patent publications from the U.S. and other countries using open-source tooling,” said Google Patentsdata scientists Rob Srebrovic and Jay Yonamine.

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