"AI is applied to assist data cleaningcross-database authority control of namesinstitutions in the bibliographic materials such as patents, papersresearch projects.
The evolution analysis of industrial technology development is based on the AIbigdata output of technology development in terms of global industries. Next, the focus narrows down to local view, in order to compare each countryinstitute’s technology development path. By using the technology gap model, the strengthsshortcomings of each countryinstitute comparing to the global mainstream development can be implied."

Quantitative analytic method enables cross-levels, cross-industries, cross-institutes analysis, using large database to dilute the bias. However, this method may ignore tons of details which should be taken into notice. Since these details could not be captured through previous methods, the team aims to solve the problem by this project - “Applying AIbig data technology development analysis mechanism to support industrial innovation researchdevelopment.” The project determines to overcome the previous shortcomingsto propose a cross-domain, cross-database technology development path analysis model.

our team sets up a database including patent output of technology researchdevelopment achievement, scientific research paper output,the sciencetechnology project results of subsidy programs. With the application of AI machine learning model, the researchdevelopment performance of countries/ industries/ institutes/ individuals can be evaluated.The above analysis is a reliable reference for enterprises when it comes to monitoring technology development, selecting alternative technology, evaluating partnershipinvesting low technical risk market.

天使投資人、策略合作夥伴