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Updated: Jun 14, 2026

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极化道晶体管用于超低能耗的人工突触,用于神经形态计算

Jing Chen1,2, Xue-Chun Zhao3, Ye-Qing Zhu3

  • 1Institute of Marine Science and Technology, Shandong University, Qingdao, Shandong 266237, China.

ACS nano
|December 21, 2023
PubMed
概括

研究人员使用2D材料开发了一种新的极化道晶体管 (PTT),用于更快的人工突触. 这一创新显著提高了神经形态计算的效率,并减少了人工智能应用中的能源消耗.

关键词:
人工突触 (Synapses) 是一个人工突触.低能耗,低能耗的电力使用.神经形态计算是一种神经形态计算.极化道晶体管 极化道晶体管这是一个二维的二维空间.

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