Jamie Holcombe: USPTO Uses Machine Learning to Accelerate Patent Classification Process – Executive Gov

Jamie Holcombe: USPTO Uses Machine Learning to Accelerate Patent Classification Process

Jamie Holcombe CIO USPTO

Jamie Holcombe, chief data officer of the U.S. Patent and Trademark Office (USPTO), mentioned machine learning helps USPTO pace up the method of assigning patent functions to examiners, FedScoop reported Wednesday.

The company’s engineers who went to Google to be taught extra about TensorFlow utility programming interfaces and machine studying are making use of ML to patent search and classification processes utilizing Python with TensorFlow.

“We immersed them in the culture, and they got Googly,” Holcombe mentioned Wednesday throughout an ACT-IAC occasion. “They got certified in TensorFlow, which is the open-source library for a lot of neural network feedback loops.” 

USPTO is tapping distributors to assist carry out patent classifications and evaluate them towards the company’s algorithms. Holcombe mentioned permitting patent examiners to work with distributors permits the company to additional enhance the algorithms.

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