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High-Precision Close-to-Analog Programming of PCM Cells as Devices for AiMC Edge-AI

High-Precision Close-to-Analog Programming of PCM Cells as Devices for AiMC Edge-AI 150 150
Author(s): Alessio Antolini, Andrea Lico, Francesco Zavalloni, Lorenzo Greco, Riccardo Zurla, Jacopo Bertolini, Riccardo Vignali, Luca Iannelli, Emanuela Calvetti, Marco Pasotti, Alessandro Cabrini, Eleonora Franchi Scarselli

Abstract:

This article presents a high-precision close-to-analog programming methodology for phase-change memory (PCM) cells, targeting analog in-memory computing (AiMC) architectures for edge-artificial intelligence (AI) applications. By leveraging an iterative accumulation approach during the verify phase, the proposed technique enhances the effective number of bits (ENOBs) achievable in PCM cells. Experimental validation …

Published in: IEEE Journal of Solid-State Circuits
Page(s): 1 – 14
Year of Publication: 2026
Electronic ISSN: 1558-173X
DOI: 10.1109/JSSC.2026.3680266
Publisher: IEEE

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A Continuous-Time Zoom Sensor Readout Frontend With Fast Tracking and Floating-Gm-CCO Integrator

A Continuous-Time Zoom Sensor Readout Frontend With Fast Tracking and Floating-Gm-CCO Integrator 150 150
Author(s): Haoyang Luo, Zongnan Wang, Jiarui Wang, Bingrui Li, Zilong Shen, Yang Liu, Xiaojie Duan, Yuan Wang, Xiyuan Tang

Abstract:

Emerging edge applications processing weak signals in noisy environments demand sensor readout frontends with low noise, low power, high dynamic range (DR), and high input impedance. This article presents a zoom sensor readout frontend design that can track signals with rapid changes over a wide DR with high energy efficiency. …

Published in: IEEE Journal of Solid-State Circuits
Page(s): 1 – 12
Year of Publication: 2026
Electronic ISSN: 1558-173X
DOI: 10.1109/JSSC.2026.3677053
Publisher: IEEE

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A 28-nm Digital Transpose SRAM Compute-in-Memory Macro With Accurate/Approximate Dual Mode for Floating-Point Edge Training and Inference

A 28-nm Digital Transpose SRAM Compute-in-Memory Macro With Accurate/Approximate Dual Mode for Floating-Point Edge Training and Inference 150 150
Author(s): Yiyang Yuan, Bingxin Zhang, Yiming Yang, Yishan Luo, Qirui Chen, Haitao Wang, Qihao Liu, Zhiming Chen, Hao Wu, Jinshan Yue, Shidong Lv, Xinghua Wang, Pui-In Mak, Xiaoran Li, Feng Zhang

Abstract:

Static random-access memory (SRAM)-based computing-in-memory (CIM) macros have been widely studied to improve the energy efficiency of edge artificial intelligence (AI) inference tasks. However, less attention has been given to AI training, which requires CIM macros to not only perform matrix multiply-accumulate (MAC) operations but also support matrix transposition. …

Published in: IEEE Journal of Solid-State Circuits
Page(s): 1 – 13
Year of Publication: 2026
Electronic ISSN: 1558-173X
DOI: 10.1109/JSSC.2026.3679560
Publisher: IEEE

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A High-Efficiency Magnetoelectric Power Link With a Load-Adaptive CMOS Rectifier for Miniaturized Implants

A High-Efficiency Magnetoelectric Power Link With a Load-Adaptive CMOS Rectifier for Miniaturized Implants 150 150
Author(s): Yasemin Engür, Mingxiang Gao, Niels Kuster, Mahsa Shoaran

Abstract:

Miniaturized biomedical implants are currently constrained by limited wireless power transfer (WPT) efficiency under load variation and spatial misalignment. This work presents a custom magnetoelectric (ME) power link incorporating a load-adaptive CMOS rectifier to address these challenges. By employing a current sensing control loop for dynamic switch sizing and delay …

Published in: IEEE Solid-State Circuits Letters
Page(s): 125 – 128
Year of Publication: 2026
Electronic ISSN: 2573-9603
DOI: 10.1109/LSSC.2026.3679620
Publisher: IEEE

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