NVIDIA releases technical lectures on the semiconductor industry, exploring how AI and accelerated computing are reshaping chip design and manufacturing

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ME News Report, April 18 (UTC+8), NVIDIA recently announced that artificial intelligence (AI) and accelerated computing are reshaping the design, verification, and manufacturing processes of the semiconductor industry. The related information links to a “Semiconductor” themed playlist on their on-demand platform, which contains 16 technical lecture videos. The content focuses on how AI and digital twin technology are transforming semiconductor manufacturing (including electronic design automation EDA and computational lithography), the role of memory innovations (such as high-bandwidth memory and low-power DRAM) in AI system performance, and the applications of accelerated computing and AI supercomputing in industrial engineering. The speakers come from industry-leading companies such as Samsung Electronics, Synopsys, Micron Technology, ABB Robotics, and Siemens, discussing how AI, robotics, and simulation technologies drive manufacturing transformation, and how agentic AI is changing production from design and engineering stages. (Source: InFoQ)

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