34.2 A 16nm 96Kb Integer/Floating-Point Dual-Mode-Gain-Cell-Computing-in-Memory Macro Achieving 73.3-163.3TOPS/W and 33.2-91.2TFLOPS/W for AI-Edge Devices. - Win-San Khwa; Ping-Chun Wu; Jui-Jen Wu; Jian-Wei Su; Ho-Yu Chen; Zhao-En Ke; Ting-Chien Chiu; Jun-Ming Hsu; Chiao-Yen Cheng; Yu-Chen Chen; Chung-Chuan Lo; Ren-Shuo Liu; et al. (ISSCC, 2024)

14.2 A 16nm 216kb, 188.4TOPS/W and 133.5TFLOPS/W Microscaling Multi-Mode Gain-Cell CIM Macro Edge-AI Devices. - Win-San Khwa; Ping-Chun Wu; Jian-Wei Su; Chiao-Yen Cheng; Jun-Ming Hsu; Yu-Chen Chen; Le-Jung Hsieh; Jyun-Cheng Bai; Yu-Sheng Kao; Tsung-Han Lou; Ashwin Sanjay Lele; Jui-Jen Wu; et al. (ISSCC, 2025)

An Integer-Floating-Point Dual-Mode Gain-Cell Computing-in-Memory Macro for Advanced AI Edge Chips. - Ping-Chun Wu; Win-San Khwa; Jui-Jen Wu; Jian-Wei Su; Chuan-Jia Jhang; Ho-Yu Chen; Zhao-En Ke; Ting-Chien Chiu; Jun-Ming Hsu; Chiao-Yen Cheng; Yu-Chen Chen; Chung-Chuan Lo; et al. (IEEE J. Solid State Circuits, 2025)