Atomic Layer-Deposited HfAlOx-Based RRAM with Low Operating Voltage for Computing In-Memory Applications Tekijä Zhen-Yu He, Tian-Yu Wang, Lin Chen, Hao Zhu, Qing-Qing Sun, Shi-Jin Ding, David Wei Zhang

Aiheet: “…Computing in-memory…”
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A Fully-Integrated Memristor Chip for Edge Learning Tekijä Yanhong Zhang, Liang Chu, Wenjun Li

Aiheet: “…Computing in memory…”
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An Efficient and Robust Partial Differential Equation Solver by Flash-Based Computing in Memory Tekijä Yueran Qi, Yang Feng, Jixuan Wu, Zhaohui Sun, Maoying Bai, Chengcheng Wang, Hai Wang, Xuepeng Zhan, Junyu Zhang, Jing Liu, Jiezhi Chen

Aiheet: “…computing in memory…”
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A digital bit-reconfigurable versatile compute-in-memory macro for machine learning acceleration Tekijä Zhang, Xin, Lu, Yuncheng, Wang, Bo, Kim, Tony Tae-Hyoung

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SRAM based computing-in-memory for tiny machine learning Tekijä Gupta, Shini

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SRAM-Based CIM Architecture Design for Event Detection Tekijä Muhammad Bintang Gemintang Sulaiman, Jin-Yu Lin, Jian-Bai Li, Cheng-Ming Shih, Kai-Cheung Juang, Chih-Cheng Lu

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FeFET-Based Computing-in-Memory Unit Circuit and Its Application Tekijä Xiaojing Zha, Hao Ye

Aiheet: “…computing-in-memory…”
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An Ultra-Low-Power Analog Multiplier–Divider Compatible with Digital Code for RRAM-Based Computing-in-Memory Macros Tekijä Yiming Yang, Shidong Lv, Xiaoran Li, Xinghua Wang, Qian Wang, Yiyang Yuan, Sen Liang, Feng Zhang

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Improving model robustness to weight noise via consistency regularization Tekijä Yaoqi Hou, Qingtian Zhang, Namin Wang, Huaqiang Wu

Aiheet: “…computing in memory…”
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Capacitance and Conductance Compensation Methods for Efficient Computing‐In‐Memory Designs Tekijä Yubiao Luo, Fei Qiao, Zhong Sun

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Twofold Sparsity: Joint Bit- and Network-Level Sparsity for Energy-Efficient Deep Neural Network Using RRAM Based Compute-In-Memory Tekijä Foroozan Karimzadeh, Arijit Raychowdhury

Aiheet: “…Computing-in-memory…”
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Reducing Influence of Noise in Regression Problems on Memristor Computing-in-Memory Chips Tekijä Hao Tang, Lu Liu, Zhouzheng Li, Zhiping Jia, Qingtian Zhang

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A 1.1-nJ/Classification True Analog Current Computing on Multilayer Neural Network With Crystalline-IGZO/Si-CMOS Monolithic Stack Technology Tekijä Kazuki Tsuda, Kazuma Furutani, Yuto Yakubo, Hiromichi Godo, Yoshinori Ando, Atsutake Kosuge, Toru Nakura, Shunpei Yamazaki

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Simulation of a Fully Digital Computing-in-Memory for Non-Volatile Memory for Artificial Intelligence Edge Applications Tekijä Hongyang Hu, Chuancai Feng, Haiyang Zhou, Danian Dong, Xiaoshan Pan, Xiwei Wang, Lu Zhang, Shuaiqi Cheng, Wan Pang, Jing Liu

Aiheet: “…computing-in-memory (CIM)…”
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Multiplication-Free Lookup-Based CNN Accelerator Using Residual Vector Quantization and Its FPGA Implementation Tekijä Hiroshi Fuketa, Toshihiro Katashita, Yohei Hori, Masakazu Hioki

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Computing In-Memory Design Based on Double Word Line and Double Threshold 4T SRAM Tekijä LIN Zhiting, NIU Jianchao+, WU Xiulong, PENG Chunyu

Aiheet: “…computing in-memory (cim)…”
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Flash-Based Computing-in-Memory Architecture to Implement High-Precision Sparse Coding Tekijä Yueran Qi, Yang Feng, Hai Wang, Chengcheng Wang, Maoying Bai, Jing Liu, Xuepeng Zhan, Jixuan Wu, Qianwen Wang, Jiezhi Chen

Aiheet: “…computing in memory…”
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Hardware Implementation of Next Generation Reservoir Computing with RRAM‐Based Hybrid Digital‐Analog System Tekijä Danian Dong, Woyu Zhang, Yuanlu Xie, Jinshan Yue, Kuan Ren, Hongjian Huang, Xu Zheng, Wen Xuan Sun, Jin Ru Lai, Shaoyang Fan, Hongzhou Wang, Zhaoan Yu, Zhihong Yao, Xiaoxin Xu, Dashan Shang, Ming Liu

Aiheet: “…computing‐in‐memory…”
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A Dual-Wordline 6T SRAM Computing-In-Memory Macro Featuring Full Signed Multi-Bit Computation for Lightweight Networks Tekijä Zupei Gu, Shukao Dou, Heng You, Yi Zhan, Shushan Qiao, Yumei Zhou

Aiheet: “…Computing-in-memory…”
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Design of low-power gesture recognition system and self-organizing map processors Tekijä Lu, Yuncheng

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