Global Patent Analysis and Tracking  (GPAT)

Global Patent Analysis and Tracking (GPAT)

Jeff Morse

Jeff Morse

Haymarket, Virginia

Applying AI to improve the quality of Patent Application processing and infringement.

Artificial Intelligence

Description

Working the application of AI to improve the quality of Patent Application processing and infringement seeking at www.widgetblender.com. Currently extracting and preparing 10,000s of global (EU, US, JP, KR, CN ...) patents and patent application from both a content and patent process event history perspective (the US has hundreds of process event types). The idea is that a some chains of patent process event types and timing will point toward later success or failure. Otherwise, can AI pick out infringement possibilities in either the text or teh diagrams of patents and patent applications in related areas, or that are referencing a given patent or patent application? Currently considering the Movidius Neural Compute Stick to improve performance of desktop software in a few key functional areas. One challenge is to bridge current code with C or Python if this is the only option to leverage the SDK.

Links

widgetblender.com

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Jeff M. created project Global Patent Analysis and Tracking (GPAT)

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Global Patent Analysis and Tracking (GPAT)

Working the application of AI to improve the quality of Patent Application processing and infringement seeking at www.widgetblender.com. Currently extracting and preparing 10,000s of global (EU, US, JP, KR, CN ...) patents and patent application from both a content and patent process event history perspective (the US has hundreds of process event types). The idea is that a some chains of patent process event types and timing will point toward later success or failure. Otherwise, can AI pick out infringement possibilities in either the text or teh diagrams of patents and patent applications in related areas, or that are referencing a given patent or patent application? Currently considering the Movidius Neural Compute Stick to improve performance of desktop software in a few key functional areas. One challenge is to bridge current code with C or Python if this is the only option to leverage the SDK.

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