PatentNet: Search for the Next Best Invention with Confidence

Channel:
Canada LLMs Explained - Aggregate Intellect - AI.SCIENCE
Subscribers:
20,400
Published on ● Video Link: https://www.youtube.com/watch?v=NWXO8FYCP8Q


Duration: 9:43
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Each year, hundreds of thousands of patents are granted by patent offices in the US and Canada. With such a high-volume of incoming inventions, law firms and innovative companies constantly require experts on patent filing. However, patent work requires high evel of intellectual capital, usually deep expertise in both Law and STEM. Since the demand for this type of job is overwhelming compared to the supply, most of the market needs remain unfulfilled and patent lawyers are overworked. PatentNet utilizes state-of-the-art tools in Natural Language Processing and Graph Theory to assist lawyers in filing patent applications quickly and accurately.

note: The patent ID can be a 7 digit number of US patents from 1990-1999, and the weights for citation and weights for text should add up to 1 (default is 0.5, 0.5).
Some sample IDs: 5702467, 5862345, 5555555

Github: https://github.com/DougallPercival/ws-gnn-patentnet
Live app: http://34.231.21.233:5000/main_page



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Tags:
deep learning
machine learning
Machine Learning
Product
NLP
Graph Theory
Patent
Intellectual Property
Document Classification