“New search algorithms for relevant prior art most excite the U.S. Patent and Trademark Office’s CIO right now.
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.’…”
“One hurdle Holcombe faces as he attempts to test new innovations to modernize USPTO is that often they haven’t been approved by the Federal Risk and Authorization Management Program (FedRAMP)…”
“If a new technology has potential, USPTO temporarily tests it in a sandbox to determine the minimum requirements needed to issue an authority to operate (ATO)…” Read the full article here.
Source: USPTO chief information officer most excited about new search algorithms – By Dave Nyczepir, April 14, 2021. FedScoop.