Energy Efficiency Increases by 228 Times! Peking University Team Develops a New Analog Computing Chip, Breaking the AI Computing Power Consumption Bottleneck
A research team from Peking University has developed an analog computing chip specifically designed for "Non-negative Matrix Factorization," significantly improving energy efficiency in processing large-scale data, providing an efficient and low-power solution for fields such as image analysis and recommendation systems.
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