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A CMOS Probabilistic Computing Chip with Hardware-Aware Learning

A CMOS Probabilistic Computing Chip with Hardware-Aware Learning 150 150
Author(s): Jinesh Jhonsa, William Whitehead, Yihao Wu, David McCarthy, Shuvro Chowdhury, Kerem Y. Camsari, Luke Theogarajan

Abstract:

This work demonstrates a compact probabilistic computing system based on a physics-inspired p-bit architecture with 440 interacting spins configured in a Chimera graph and occupying 0.44 mm² of silicon area. Area efficiency is achieved through a current-mode neuron update circuit and a mixed-signal design approach that integrates pitch-matched standard-cell analog blocks with …

Published in: IEEE Journal on Exploratory Solid-State Computational Devices and Circuits
Page(s): 1 – 1
Year of Publication: 2026
Electronic ISSN: 2329-9231
DOI: 10.1109/JXCDC.2026.3689506
Publisher: IEEE

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A 760 mVPP-Input-Range, 103.6dB-SNDR Direct-Digitization Sensor Readout With Pseudo-Differential Integrator and Impedance-Equalized RDAC

A 760 mVPP-Input-Range, 103.6dB-SNDR Direct-Digitization Sensor Readout With Pseudo-Differential Integrator and Impedance-Equalized RDAC 150 150
Author(s): Kaiwen Zhou, Jianhong Zhou, Yijie Li, Yuying Li, Tian Dong, Zhiliang Hong, Jiawei Xu

Abstract:

A high-precision, direct-digitization sensor readout (DD-RO) based on a continuous-time delta-sigma modulator (CT- $\Delta \Sigma $ M) is presented. The proposed DD-RO incorporates several key innovations to enhance performance. First, a pseudo-differential current-balancing integrator (PD-CBI) significantly extends the linear input range, whereas its intrinsically limited common-mode input range and CMRR are …

Published in: IEEE Journal of Solid-State Circuits
Page(s): 1 – 13
Year of Publication: 2026
Electronic ISSN: 1558-173X
DOI: 10.1109/JSSC.2026.3686843
Publisher: IEEE

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A 3.47 NEF 175.2-dB FoMs Direct Digitization Front-End Featuring Delta Amplification Noise-Shaping SAR ADC for Biosignal Acquisition

A 3.47 NEF 175.2-dB FoMs Direct Digitization Front-End Featuring Delta Amplification Noise-Shaping SAR ADC for Biosignal Acquisition 150 150
Author(s): Kyeongwon Jeong, Can Livanelioglu, Jiawei Liao, Inhee Lee, Taekwang Jang

Abstract:

This article presents a direct-digitization interface for ExG bio-signals’ readout that simultaneously achieves a high dynamic range (DR) and a low noise-efficiency factor (NEF). The proposed delta amplification (DA) and feedback cancellation technique reduce both the input and output ranges of the first amplifier, thus allowing the use of a …

Published in: IEEE Journal of Solid-State Circuits
Page(s): 1 – 12
Year of Publication: 2026
Electronic ISSN: 1558-173X
DOI: 10.1109/JSSC.2026.3685168
Publisher: IEEE

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Denim: Heterogeneous Compute-in-Memory Accelerator Exploiting Denoising–Similarity for Diffusion Models

Denim: Heterogeneous Compute-in-Memory Accelerator Exploiting Denoising–Similarity for Diffusion Models 150 150
Author(s): Ruiqi Guo, Lei Wang, Xiaofeng Chen, Keyi Jiang, Zhiheng Yue, Huiming Han, Yang Wang, Fengbin Tu, Shaojun Wei, Yang Hu, Shouyi Yin

Abstract:

Diffusion models have recently revolutionized the field of image synthesis due to their ability to generate photorealistic images. However, one of the main drawbacks of diffusion models is that the image generation process is expensive. Large image-to-image networks have to be applied multiple times in order to iteratively optimize the …

Published in: IEEE Journal of Solid-State Circuits
Page(s): 1 – 15
Year of Publication: 2026
Electronic ISSN: 1558-173X
DOI: 10.1109/JSSC.2026.3684745
Publisher: IEEE

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A Time-Domain CNN Engine with Adaptive-Precision Computing and Threshold-Controllable Prediction for Edge Computing

A Time-Domain CNN Engine with Adaptive-Precision Computing and Threshold-Controllable Prediction for Edge Computing 150 150
Author(s): Aoming Zhan, Ye Zhao, Yulin Zhang, Gengchen Han, Qihang Jiang, Long Chen, Yumei Zhou, Shushan Qiao

Abstract:

With the growing demand for energy-efficient convolutional neural network (CNN) accelerators in edge intelligence, conventional digital CNN processors with fixed precision incur excessive switching energy and limited scalability. This work presents a time-domain CNN (TD-CNN) engine that achieves adaptive precision and computation reduction for ultra-low-power operation. The main features include: 1) …

Published in: IEEE Solid-State Circuits Letters
Page(s): 1 – 1
Year of Publication: 2026
Electronic ISSN: 2573-9603
DOI: 10.1109/LSSC.2026.3687395
Publisher: IEEE

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Benchmarking of Emerging Material-Based TCAMs

Benchmarking of Emerging Material-Based TCAMs 150 150
Author(s): Ashwin Tunga, Junzhe Kang, Zijing Zhao, Ankit Shukla, Wenjuan Zhu, Shaloo Rakheja

Abstract:

This work presents a comprehensive benchmarking of ternary content-addressable memory (TCAM) implementations using timing-accurate SPICE simulations, systematically comparing conventional CMOS designs with emerging device technologies, including magnetic tunnel junctions (MTJs), ferroelectric tunnel junctions (FTJs), ferroelectric field-effect transistors (FeFETs), and two-dimensional reconfigurable field-effect transistors (2D RFETs). Key performance metrics, including search …

Published in: IEEE Journal on Exploratory Solid-State Computational Devices and Circuits
Page(s): 1 – 1
Year of Publication: 2026
Electronic ISSN: 2329-9231
DOI: 10.1109/JXCDC.2026.3687143
Publisher: IEEE

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A 10.1-ENOB 8kHz Bandwidth 95–250nW PVT-Robust DT Level-Crossing ADC for Sparse and Generic Signals

A 10.1-ENOB 8kHz Bandwidth 95–250nW PVT-Robust DT Level-Crossing ADC for Sparse and Generic Signals 150 150
Author(s): Jixuan Mou, Pieter Harpe, Alessandro Saccon, Eugenio Cantatore, Marco Fattori

Abstract:

This article presents an event-driven discrete-time level crossing analog-to-digital converter (DT-LCADC) that is energy-efficient in converting both sparse and generic signals and is robust against process voltage and temperature (PVT) variations. The proposed DT-LCADC uses the comparator delay to classify each level-crossing event as slow (produced by a small input …

Published in: IEEE Journal of Solid-State Circuits
Page(s): 1 – 12
Year of Publication: 2026
Electronic ISSN: 1558-173X
DOI: 10.1109/JSSC.2026.3683078
Publisher: IEEE

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A 28-nm System-in-One-Macro Computing-in-Memory Chip Utilizing Leakage-Eliminated 2T1C and Capacitor-Over-Logic 1T1C eDRAM

A 28-nm System-in-One-Macro Computing-in-Memory Chip Utilizing Leakage-Eliminated 2T1C and Capacitor-Over-Logic 1T1C eDRAM 150 150
Author(s): Zhihang Qian, Zhaori Cong, Shengzhe Yan, Zeyu Guo, Zhuoyu Dai, Yifan He, Wenyu Sun, Chunmeng Dou, Feng Zhang, Di Geng, Jinshan Yue, Yongpan Liu, Qi Liu, Ming Liu

Abstract:

Computing-in-memory (CIM) is a promising paradigm for energy- and area-efficient implementation of the heavy general matrix multiplication (GEMM) operations, especially in the evolving deep learning algorithms. Though existing CIM macros have demonstrated remarkable energy/area efficiency, the corresponding metrics of the system-level CIM chips degrade due to the peripheral components, …

Published in: IEEE Journal of Solid-State Circuits
Page(s): 1 – 15
Year of Publication: 2026
Electronic ISSN: 1558-173X
DOI: 10.1109/JSSC.2026.3684971
Publisher: IEEE

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A MEMS-Free 4096-Pixel CMOS E-Nose Array With MOF-Based Molecular Selectivity, In-Pixel Thermal Regeneration, and a Compact Single-Coefficient Bandpass Sigma–Delta ADC

A MEMS-Free 4096-Pixel CMOS E-Nose Array With MOF-Based Molecular Selectivity, In-Pixel Thermal Regeneration, and a Compact Single-Coefficient Bandpass Sigma–Delta ADC 150 150
Author(s): Marco Saif, Adam Y. Wang, Shao-Wei Lo, Fuze Jiang, Zhikai Huang, Jiachen Wang, Hangxing Liu, Chih-Jen Shih, Thomas Burger, Hua Wang

Abstract:

This work presents a CMOS-only [micro-electromechanical systems (MEMS)-free] electronic nose (e-nose) for concurrent multi-gas-sensing applications. The proposed system integrates 4096 capacitance-to-digital converter (CDC) pixels, each implementing a compact bandpass sigma–delta ( $\Sigma \Delta $ ) ADC with a single feedback coefficient and no additional feedforward or feedback paths, achieving each pixel footprint …

Published in: IEEE Journal of Solid-State Circuits
Page(s): 1 – 13
Year of Publication: 2026
Electronic ISSN: 1558-173X
DOI: 10.1109/JSSC.2026.3685410
Publisher: IEEE

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