USPTO Chief Information Officer Most Excited About New Search Algorithms

USPTO created the machine-learning algorithms to increase the speed at which patents are examined by importing relevant prior art — all information on its claim of originality — into pending applications sent to art units, said Jamie Holcombe.

Filtering data into haystacks allowing patent examiners to more easily find what they’re looking for — the needle — is the new paradigm for search algorithms, Holcombe said.

“The ability to search, especially the big datasets, gets me so excited,” he added, during an ACT-IAC event Tuesday. “Because that means we can unleash that power to anybody who can get on a computer and access the net.”

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