Manufacturing Dataset Released... 4th Industrial Revolution for Small and Medium Manufacturers

Establishment of 12 Manufacturing Data Sets for Manufacturing AI Analysis Purposes
To Be Unveiled on the 14th via AI SME Manufacturing Platform (KAMP)
Expectations for Launch of Domestic Manufacturing-Specialized AI Solutions

[Asia Economy Reporter Junho Hwang] Twelve types of manufacturing AI datasets will be released to help small and medium-sized manufacturing companies in Korea achieve process efficiency through artificial intelligence (AI). The Korea Advanced Institute of Science and Technology (KAIST) announced on the 29th that it will open the world's first 12 types of manufacturing AI datasets on the 14th of next month.

Manufacturing AI datasets are collections of manufacturing data stored for the purpose of manufacturing AI analysis. After collecting actual data from manufacturing sites such as factories, sample tables and data are organized and provided so that small and medium-sized manufacturing companies nationwide can utilize them for AI analysis.

This is the world's first time a government agency has released specialized datasets to encourage AI analysis by manufacturing companies. Currently, advanced manufacturing countries such as the United States, Canada, the United Kingdom, and Germany operate public data portals to manage data from various industries.

Among the 12 types of manufacturing AI datasets, Professor Ilcheol Moon of KAIST's Department of Industrial and Systems Engineering will provide a weight measurement image dataset secured from a real-time process management system he directly developed. Professor Jaesik Choi of the AI Graduate School will release a dataset collected from engines of a global automobile manufacturer.

The Ulsan National Institute of Science and Technology consortium, selected as the designated equipment manufacturing AI dataset builder, will construct five manufacturing datasets related to equipment most commonly used in root industries such as CNC machines, injection molding machines, welding machines, machine vision, and presses.

The Impix Co., Ltd. consortium, selected as the free equipment manufacturing AI dataset builder, will be responsible for five AI datasets based on food manufacturing processes, including melting tanks, agitator drive devices, sterilizers, drying drive devices, and inspection equipment.

The 12 packages to be released this time will include not only manufacturing AI datasets but also guidebooks attached with utilization goals and AI algorithms.

Professor Iljung Kim, director of the KAIST Manufacturing AI Big Data Center, said, "With the release of the 12 manufacturing AI datasets, a foundation has been laid to promote systematic collection of manufacturing data and AI analysis in the domestic small and medium manufacturing ecosystem, which is expected to activate the release and research of more diverse domestic manufacturing AI solutions."

This content was produced with the assistance of AI translation services.