A Move to Improve Productivity in Semiconductor Production
SK Hynix has recruited a data science expert to introduce an AI-based data analysis to improve productivity in manufacturing memory semiconductors.
SK Hynix announced on June 10 that it has hired Kim Young-han, a tenured professor of UCSD, as a senior research fellow. Kim received a master's degree in statistics and a doctor’s degree in electrical engineering from Stanford University and is a data science specialist who was selected as a fellow of the Institute of Electrical and Electronics Engineers (IEEE). He received the new scientific research award from the National Science Foundation (NSF) in 2008 and received the IEEE information theory award in 2012 by himself. Kim has also conducted industrial research with leading global information technology (IT) companies on data analysis and system optimization.
SK Hynix has established a data research organization and affiliated machine intelligence and data analytics solutions (MIDAS) lab in line with Kim’s recruitment. The organization will reinforce data-centric management by rebuilding AI-based business systems.
SK Hynix is strengthening its data analysis system because of the exponential increase in the amount of data that the semiconductor industry has to process due to the increased level of microprocessing in manufacturing and development. This is why system optimization through AI-based machine learning and deep-learning is the key to competitiveness.
SK Hynix plans to actively recruit big data and AI-related talent. To this end, SK Hynix will hold a PR booth at the International Conference of Machine Learning (ICML), which is one of the world's most prestigious AI conferences to be held in California, United States from Oct. 10-15.