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.

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.