The article “Materials Intelligence: Harnessing Data and Digital Innovations to Redefine Material Science” by Anand Nambiar highlights the critical role of high-purity materials and chemicals in semiconductor manufacturing. It introduces “Materials Intelligence,” which integrates AI and machine learning to analyze data on material properties and production processes, enhancing performance and manufacturing efficiency. The article discusses new approaches, like multi-die technology and vertical structures, to meet the growing demands of AI and advanced computing, emphasizing the need for innovative materials and predictive tools like DeepMind’s GNoME for future advancements.
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