Ministry Of Science And ICT Reviews Physical AI Outcomes In Gyeongnam
"Kickstarting AX Expansion"
The Ministry of Science and ICT announced on the 8th that it visited Shinsung Delta Tech, located in Changwon, Gyeongnam, to review the outcomes of the preliminary verification project for physical AI (physical artificial intelligence) and to discuss ways to strengthen regional manufacturing competitiveness.
Through this on-site visit, the Ministry of Science and ICT verified the applicability of precision control technology based on physical AI. It also gathered on-site feedback on how to link this with the large-scale research and development (R&D) project "Gyeongnam AX (AI Transformation)" to be promoted in the future.
The Gyeongnam AX project, which will be fully launched in the first half of this year, aims to go beyond simple process automation and directly incorporate the physical characteristics of manufacturing sites and the know-how of skilled workers into AI models. To this end, it plans to focus on developing Large Action Model (LAM) technology based on "PINN," an AI model that embeds physical laws.
Bae Kyunghun, Deputy Prime Minister and Minister of Science and ICT, is speaking at the dialogue with future scientists "Challenging Scientists, Advancing the Republic of Korea" held at the Blue House on the 5th. Photo by Yonhap News
View original imageEarlier, the Ministry of Science and ICT and the National IT Industry Promotion Agency carried out on-site demonstrations for eight manufacturing companies in the Gyeongnam region by using last year's supplementary budget. Shinsung Delta Tech built an AI training dataset that links process data, worker behavior, raw material conditions, and defect shapes as action data for its plastic injection molding and assembly processes, and used a digital twin model to predict and adjust process quality in advance. Through this, the company confirmed the potential for reducing defect rates and improving facility utilization rates.
Hwashin R&A improved its overall equipment effectiveness by more than 5% by predicting material deformation that occurs in the rubber extrusion process in advance. CTR predicted chatter, a machine vibration phenomenon that occurs in aluminum machining processes, reducing the defect rate and shortening the machining cycle time by more than 17%.
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The Ministry of Science and ICT plans to actively reflect the outcomes and on-site feedback derived from this demonstration in the design of future regional AX projects and in the formulation of policy support measures. Deputy Prime Minister and Minister of Science and ICT Bae Kyunghun said, "It is more important than anything else to systematically build data generated in actual manufacturing sites," adding, "Based on this, once a physical AI foundation model is developed in the future, we will distribute it in an open-source manner and create an ecosystem where many companies can easily make use of it."
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