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AI Times, a Korean AI publication, has published Managing Partner Yongduck Kim's column on AI patents.
Yongduck Kim, a patent attorney, focuses on patents in cutting-edge technology fields such as artificial intelligence (AI), smart factories, and blockchain, and has experience performing intellectual property (IP) work for various technology companies such as Samsung Electronics, LG Electronics, and Xiaomi. In addition, he has written books such as “AI Patent Examination Practice Guide” and “AI Patent Strategy” and continues to share his expert knowledge on AI technology and patent strategy.
In this column, we will examine how generative AI is being used in natural science such as drug development and new materials research. In the past, humans had to analyze vast amounts of paper and experimental data, but in recent years, AI has evolved into an integrated understanding of multimodal data and predicting new materials. These changes are creating innovative transformations in terms of research efficiency and cost.
The column examines a system reflecting LG AI Research's EXAONE Discovery concept, combining document understanding, predictive models, and generative AI. It extracts and organizes information from papers, patents, images, and molecular structures, then connects this information with chemical-reaction and material-property prediction models.
The column considers the patent implications of generative AI becoming part of scientific research platforms. Data structuring, predictive-model integration, and interactive knowledge expansion may matter for inventive step and claim scope. Such integrated systems could also provide a foundation for further innovation in drug and materials research.
The full article can be found at the link below.
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