A 22nm 4Mb STT-MRAM Data-Encrypted Near-Memory Computation Macro with a 192GB/s Read-and-Decryption Bandwidth and 25.1-55.1TOPS/W 8b MAC for AI Operations. - Yen-Cheng Chiu; Chia-Sheng Yang; Shih-Hsih Teng; Hsiao-Yu Huang; Fu-Chun Chang; Yuan Wu 009; Yu-An Chien; Fang-Ling Hsieh; Chung-Yuan Li; Guan-Yi Lin; Po-Jung Chen; Tsen-Hsiang Pan; et al. (ISSCC, 2022)

A 28nm 1Mb Time-Domain Computing-in-Memory 6T-SRAM Macro with a 6.6ns Latency, 1241GOPS and 37.01TOPS/W for 8b-MAC Operations for Edge-AI Devices. - Ping-Chun Wu; Jian-Wei Su; Yen-Lin Chung; Li-Yang Hong; Jin-Sheng Ren; Fu-Chun Chang; Yuan Wu 009; Ho-Yu Chen; Chen-Hsun Lin; Hsu-Ming Hsiao; Sih-Han Li; Shyh-Shyuan Sheu; et al. (ISSCC, 2022)

Two-Way Transpose Multibit 6T SRAM Computing-in-Memory Macro for Inference-Training AI Edge Chips. - Jian-Wei Su; Xin Si; Yen-Chi Chou; Ting-Wei Chang; Wei-Hsing Huang; Yung-Ning Tu; Ruhui Liu; Pei-Jung Lu; Ta-Wei Liu; Jing-Hong Wang; Yen-Lin Chung; Jin-Sheng Ren; et al. (IEEE J. Solid State Circuits, 2022)

A 28nm Nonvolatile AI Edge Processor using 4Mb Analog-Based Near-Memory-Compute ReRAM with 27.2 TOPS/W for Tiny AI Edge Devices. - Tai-Hao Wen; Je-Min Hung; Hung-Hsi Hsu; Yuan Wu 009; Fu-Chun Chang; Chung-Yuan Li; Chih-Han Chien; Chin-I Su; Win-San Khwa; Jui-Jen Wu; Chung-Chuan Lo; Ren-Shuo Liu; et al. (VLSI Technology and Circuits, 2023)

An 8b-Precision 6T SRAM Computing-in-Memory Macro Using Time-Domain Incremental Accumulation for AI Edge Chips. - Ping-Chun Wu; Jian-Wei Su; Yen-Lin Chung; Li-Yang Hong; Jin-Sheng Ren; Fu-Chun Chang; Yuan Wu 009; Ho-Yu Chen; Chen-Hsun Lin; Hsu-Ming Hsiao; Sih-Han Li; Shyh-Shyuan Sheu; et al. (IEEE J. Solid State Circuits, 2024)