TEFormer: Boosting Energy-Efficient AI for Smarter Grids
Researchers from the Institute of Automation, Chinese Academy of Sciences, led by Sicheng Shen and Mingyang Lv, have developed a new framework called TEFormer that aims to improve the temporal modeling capabilities of Spiking Transformers, a type of
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