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Samsung Electronics said on Monday that it plans to use artificial intelligence technology to shorten the development time of new semiconductor materials by 3 years. The company announced this goal at a seminar held at the Korea Industrial Association Forum. The conference discussed the application of artificial intelligence in industrial research and development. Choi Young-sang, head of Samsung's Advanced Technology Research Institute, said at the forum: “We plan to rely on AI to reduce the development cycle of new semiconductor materials from 5 to 2 years, and at the same time increase the number of potential candidate materials selected by more than 5 times.” According to Choi Young-sang, semiconductor materials are composed of multi-layer films; there are more than 100 million material combinations in the seven-layer structure alone, but researchers can only conduct about 50 experiments per month. He pointed out, “The traditional model relies on the experience and intuition of R&D personnel, and it often takes months or even years to find suitable candidate materials; the data generated by a large number of failed experiments is not fully utilized.” Choi Young-sang said Samsung aims to reduce the amount of experiments required to find optimal process conditions by more than 80%. At the same time, Samsung also anticipates that this R&D plan will also reduce development costs and expand the AI R&D paradigm to other industries such as battery materials.
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Samsung Electronics said on Monday that it plans to use artificial intelligence technology to shorten the development time of new semiconductor materials by 3 years. The company announced this goal at a seminar held at the Korea Industrial Association Forum. The conference discussed the application of artificial intelligence in industrial research and development. Choi Young-sang, head of Samsung's Advanced Technology Research Institute, said at the forum: “We plan to rely on AI to reduce the development cycle of new semiconductor materials from 5 to 2 years, and at the same time increase the number of potential candidate materials selected by more than 5 times.” According to Choi Young-sang, semiconductor materials are composed of multi-layer films; there are more than 100 million material combinations in the seven-layer structure alone, but researchers can only conduct about 50 experiments per month. He pointed out, “The traditional model relies on the experience and intuition of R&D personnel, and it often takes months or even years to find suitable candidate materials; the data generated by a large number of failed experiments is not fully utilized.” Choi Young-sang said Samsung aims to reduce the amount of experiments required to find optimal process conditions by more than 80%. At the same time, Samsung also anticipates that this R&D plan will also reduce development costs and expand the AI R&D paradigm to other industries such as battery materials.
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