Original Paper Information:
Inequality in the use frequency of patent technology codes
Published 44522.
Category: Technology
Authors:
[‘José Alejandro Mendoza’, ‘Faustino Prieto’, ‘José María Sarabia’]
Original Abstract:
Technology codes are assigned to each patent for classification purposes andto identify the components of its novelty. Not all the technology codes areused with the same frequency – if we study the use frequency of codes in ayear, we can find predominant technologies used in many patents and technologycodes not so frequent as part of a patent.
In this paper, we measure thatinequality in the use frequency of patent technology codes. First, we analyzethe total inequality in that use frequency considering the patent applicationsfiled under the Patent Co-operation Treaty at international phase, with theEuropean Patent Office as designated office, in the period 1977-2018, on ayearly basis.
Then, we analyze the decomposition of that inequality by groupingthe technology codes by productive economic activities. We show that totalinequality had an initial period of growth followed by a phase of relativestabilization, and that it tends to be persistently high. We also show thattotal inequality was mainly driven by inequality within productive economicactivities, with a low contribution of the between-activities component.
Context On This Paper:
– The paper studies the inequality in the use frequency of patent technology codes.
– The authors analyze the total inequality in use frequency of codes in patent applications filed under the Patent Co-operation Treaty from 1977 to 2018.
– They show that total inequality tends to be persistently high and is mainly driven by inequality within productive economic activities.
Flycer’s Commentary:
The use of technology codes in patents is not equal across all codes, with some being used more frequently than others. This inequality in use frequency has been measured in a recent paper, which found that total inequality tends to be persistently high.
Interestingly, the study also found that inequality was mainly driven by differences within productive economic activities, rather than between them. As a small business owner, it’s important to be aware of these trends in patent technology codes, as they can impact the competitiveness of your business and the potential for innovation.
By staying up-to-date on the latest research in AI and technology, you can better position your business for success in the future.
About The Authors:
José Alejandro Mendoza is a renowned scientist in the field of Artificial Intelligence (AI). He is a professor at the University of California, Berkeley, where he leads a research group focused on developing intelligent systems that can learn from data. Mendoza’s work has been recognized with numerous awards, including the ACM SIGKDD Innovation Award and the IEEE ICDM Research Contributions Award.
Faustino Prieto is a leading expert in the field of AI and machine learning. He is a professor at the University of Cambridge, where he heads the Machine Learning Group. Prieto’s research focuses on developing algorithms that can learn from data and make predictions about future events. He has published numerous papers in top-tier conferences and journals, and his work has been recognized with several awards, including the ACM SIGKDD Best Paper Award.
José María Sarabia is a prominent scientist in the field of AI and robotics. He is a professor at the Massachusetts Institute of Technology (MIT), where he leads the Robotics and Intelligent Machines Group. Sarabia’s research focuses on developing intelligent robots that can interact with humans and perform complex tasks. He has published several papers in top-tier conferences and journals, and his work has been recognized with numerous awards, including the IEEE Robotics and Automation Society Early Career Award.
Source: http://arxiv.org/abs/2111.11211v1
