The
Korea Institute of Science and Technology Information (KISTI) and Prof. Kunkuk
University Yoon Jang-hyuk said that they developed a model that can predict the
long-term sustainability of patents using artificial intelligence. The
predictive model is said to learn artificially the relationship between key
indicators of US patents and patent retention periods. As companies’ point,
since they can select and predict high-value patents, it is expected to help
them to develop long-term strategies.
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| pixabay.com |
Necessity
of screening patent
The
duration of patent rights is quite long, 20 years after filing. Why
should we select long-term patents? It
is due to the maintenance costs of the patent. Patents must be paid annually
for maintenance, which is not a problem if the number is small, but the cost of
maintaining and filing hundreds or thousands of patents a year like a large
company is significant. For this reason, it is very important for companies to
manage patents efficiently by pre-selecting patents with high business value.
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| pixabay.com |
10%
long-term strategy patent
When
KISTI applied the predictive model for the latest 160,000 patents this year, it
was found that about 16,000 cases, which is about 10%, would be high in the
long term. By sector, many patents are concentrated in the fields of
information and communication technology and medical convergence technology,
and the company with the most long-term strategy patents is IBM, followed by
Apple and Google.
Efforts
to Increase national competitive power
KISTI
and Kunkuk University researchers, who developed the predictive model, said
that the research was developed to predict the national long-term response
direction or to effectively predict and analyze the long-term technology
strategy of competitors. As the researchers say, I hope that the technology
sensing system using artificial intelligence can raise the R&D competitive power
in Korea.
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