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

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

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

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

Materias: Enlace del recurso

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

Materias: Enlace del recurso

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

Materias: Enlace del recurso

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

Materias: “…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 por Yiming Yang, Shidong Lv, Xiaoran Li, Xinghua Wang, Qian Wang, Yiyang Yuan, Sen Liang, Feng Zhang

Materias: Enlace del recurso

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

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

Materias: Enlace del recurso

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

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

Materias: Enlace del recurso

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

Materias: Enlace del recurso

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

Materias: “…computing-in-memory (CIM)…”
Enlace del recurso

Multiplication-Free Lookup-Based CNN Accelerator Using Residual Vector Quantization and Its FPGA Implementation por Hiroshi Fuketa, Toshihiro Katashita, Yohei Hori, Masakazu Hioki

Materias: Enlace del recurso

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

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

Materias: “…computing in memory…”
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Hardware Implementation of Next Generation Reservoir Computing with RRAM‐Based Hybrid Digital‐Analog System por 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

Materias: “…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 por Zupei Gu, Shukao Dou, Heng You, Yi Zhan, Shushan Qiao, Yumei Zhou

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

Materias: Enlace del recurso