# Column: Generative AI Patents and Research Innovation with EXAONE Discovery

AI Times, a Korean AI publication, has published Managing Partner Yongduck Kim's column on AI patents.

Source: https://www.iplexlaw.co.kr/en/blog/1452330

HOME / NEWS & INSIGHTS NEWS & INSIGHTS Column: Generative AI Patents and Research Innovation with EXAONE Discovery AI Times, a Korean AI publication, has published Managing Partner Yongduck Kim's column on AI patents. AI & Software 2026.04.14 published IPLEX 2 min read Hello, this is IPLEX IP Law Firm. 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. Read the column Read the Korean source This article reflects the information available when it was published. Contact us to discuss your circumstances. Discuss this topic ↗ All articles TALK TO IPLEX Discuss your IP questions We consider your technology and business needs together. ↗ Contact us Newer Related Designs: Extending Protection around a Principal Design ↗ Older Yongduck Kim Joins the Gyeonggi Technopark Expert Roster ↗ Related insights AI & Software 2026.10.01 FiX: fine-grained forgetting in softmax attention Yongduck Kim examines FiX’s feature-wise gates, numerical implementation and paged cache, distinguishing reported gains from unresolved limitations. ↗ Read article AI & Software 2026.09.30 MHAR: Reading earlier layers through different feature subspaces Yongduck Kim examines Multi-Head Attention Residuals: depth routing, reported training results, implementation costs and the relationship between technical features and effects. ↗ Read article AI & Software 2026.09.28 Column: Claude Computer Use and the Data That Trains AI Agents Writing for AI Times, IPLEX Managing Partner Yongduck Kim examines the training data behind computer-operating AI agents through U.S. Patent No. 12,585,862. ↗ Read article

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