Google DeepMind pushes for faster ASIC design, energy efficiency to meet AI surge

As artificial intelligence accelerates across industries, the demand for high-performance computing fuels the rapid development of application-specific integrated circuits (ASICs). Jeff Dean, Chief Scientist at Google DeepMind and Google Research, recently underscored the importance of speeding up chip design cycles and improving energy efficiency to meet the rising needs of AI inference.

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