ISSCC 2026

2026

247 篇论文 · AI / ML (33) · RF & Wireless (25) · Power Management (24) · Wireline I/O (17)

ISSCC 2026 Session 29 Medical & Bio
A 1400THz/s Ultra-Fast-Scan 14GHz EPR-on-a-Chip Based on Injection-Locked Phase Detection Featuring 120µM Concentration Sensitivity
Jean-Baptiste David1, Alexandre Siligaris1, Cédric Dehos1, José Luis Gonzalez Jimenez1, Jean-François Jacquot2, Christia
span (100Gauss) Ultra-fast scan (1400THz/s) EPR-on-a-Chip based on injection-locked phase detection, implemented in CMOS 22nm-FDSOI technology is presented. 14GHz coherent frequency generation and sensing signal down-con
ISSCC 2026 Session 29 Medical & Bio
A 256-Channel Event-Driven Readout for Solid-State Nanopore Single-Molecule Sensing with 193pArms Noise in a 1MHz Bandwidth
Sander Crols1,2, Carolina Mora Lopez2, Filip Tavernier1, Marian Verhelst1,2, Nick Van Helleputte2
Abstract The paper presents a 256-channel solid-state nanopore readout IC in 65nm CMOS. A new integrate-and-hold TIA cuts per-pore power and area >6× while achieving 1MHz BW and 193pArms at 10nA. Event detection with dyn
ISSCC 2026 Session 29 Medical & Bio
Shape-Memory Multi-Size Micro-Cage Array on CMOS with Integrated Electrochemical Sensors for Joint Bio-Sample Manipulation and Sensing
Zhikai Huang, Fuze Jiang, Hangxing Liu, Adam Wang, Yuguo Sheng, Marco Saif, Hua Wang
Abstract Lab-on-CMOS platforms require joint sensing–manipulation capabilities for biosamples from single cells to organoids. Existing methods such as DEP, optical, and acoustic tweezers need external setups, continuous
ISSCC 2026 Session 29 Medical & Bio
A Sub-Gram Individual Plant Stress Sensor Tag for Smart Farming
Daiki Nitto1, Keishi Yanase1, Yui Fujisawa1, Jun Shiomi1, Yoshihiro Midoh1, Takuya Wadatsumi2, Makoto Nagata2, Ahmet Onc
California, Los Angeles, CA, Kyushu University, Fukuoka, Japan 1 5 Abstract This paper presents a 0.62g light-weight battery-less sensor tag for continuous monitoring of plant stress. A wireless link at 920MHz powers the
ISSCC 2026 Session 29 Medical & Bio
A 65nm CMOS Hydrogel-Based Dual Fluorescence Sensor for Bioavailable Phosphorus Detection
Ting-Yu Cheng*, Raj S. Mukkamala*, Reinaldo E. Alcalde, Mohamadamin Panahandeh, Akshit Agarwal, Julia A. Kornfield, Dian
*Equally Credited Authors (ECAs) Abstract A hydrogel-based single-culture dual-fluorescence sensor is presented for bioavailable phosphorus (P) detection. The sensor achieves 6.6fA sensitivity with a 15.5dB SNR and an ou
ISSCC 2026 Session 3 Wireless
A Multimodal Biosensing System-on-Chip with Integrated Wireless Transceiver and Power Management for Stress Monitoring
Min-Hua Chang*1, Lin Chou*1, Yen-Jen Liu1, Chen-Hsing Hsu1, Ying-Yu Yang1, Bo-Cheng Juan1, Guan-Yu Lin1, Yi-Jie Lin1, Ya
Abstract A highly integrated SoC incorporates ECG, PPG, GSR, and ECH biosignal acquisition interface circuits with a 920MHz, 2kb/s, 1.1µW WuRx, a 2.4GHz, 1Mb/s Tx, and a PMU with <5μs recovery time under 600μA-to-50mA lo
ISSCC 2026 Session 3 Wireless
A Near-Field RF Reflection Transceiver ASIC for Continuous Unobtrusive Blood Pressure Monitoring
Yiming Han, Neelotpala Kumar, Linran Zhao, Jide Yinka Adebiyi, Linrui Jiang, Hao Lu, Gina Perkins, Hirofumi Tanaka, Deji
Abstract This work presents continuous, unobtrusive, and clinically accurate BP monitoring in a fully wearable form factor using an near-field RF reflection TRx ASIC in 65nm CMOS. The NRR approach enables noncontact moni
ISSCC 2026 Session 3 Wireless
A Battery-Powered Hybrid Resonant Pulse-Train Generator with Adaptive Frequency Tracking and Residual Energy Recycling for Ultrasonic Implants
Xiayang Li*1, Wenyu Peng*1, Limitha Kumar1, Xiaoxi Zhao1, Cheng Huang2, Sijun Du1
*Equally Credited Authors (ECAs) 1 Abstract This work presents a battery-powered hybrid resonant pulse-train generator for ultrasonic wireless power transfer (US-WPT) in implantable medical devices. The ASIC integrates a
ISSCC 2026 Session 3 Wireless
An Ultrasound-Powering TX with Standing-Wave Peak Tracking Employing Adiabatic Power Sensing Achieving 82% Power-Tracking Accuracy and <90ms Settling Time for Brain Implants
Marios Gourdouparis1,2, Chengyao Shi1, Jiang Liu1, Yuming He1, Stefano Stanzione1, Wouter Serdijn2, Yao-Hong Liu1
Abstract An ultrasound powering TX ASIC for brain implants with autonomous on-chip standingwave peak tracking for RX power (PDL) regulation is presented. With a proposed adiabatic power-sensing scheme, the TX consumes 43
ISSCC 2026 Session 3 Wireless
A Simultaneous Wireless Power and Full-Duplex Data Transfer System Over a Single Inductive Link Achieving 17/3.4Mb/s and 61.1% Efficiency for Miniature Biomedical Implants
Tianqi Lu, Sijun Du
Abstract A single-link wireless power and full-duplex data transfer system is presented. Operating at 40.68MHz, it delivers >50mW maximum output power with 61.1% peak end-to-end efficiency while supporting 17Mb/s uplink
ISSCC 2026 Session 30 AI / ML
A 28nm 127.54TFLOPS/W MXFP6 and 117.42TFLOPS/W MXFP8 Compute-in-Memory Macro with Adaptive-Preserved-Bit-Width and Serial-Dual-Bit-Sliding Schemes
Xing Wang1,2, Yucheng Du1, Tianhui Jiao1, Defa Wu1, Xi Chen1, Miaoyu Tang1, Yi Yang1, Zhichao Liu1, An Guo1, Gaoming Fu3
China, 3Xiaomi, Beijing, China, 4Peking University, Beijing, China 1 Abstract Conventional FP-CIMs suffer from fixed preserved bit-width (PBW), limiting their adaptability and efficiency. This work proposes the first MXF
ISSCC 2026 Session 30 AI / ML
A 12nm 4Mb 104.56-to-137.75TFLOPS/W Charge-Trap Transistor-Based Computing-in-Memory Macro Using Analog-Predict-DigitalCompute for AI Edge Devices
Junzhe Shen*1,2, Zhidao Zhou*1,2, Wenfeng Zha1,2, Zhi Li1,2, Weizeng Li1,2, Bohan Wang1,2, Junyu Zhu1,2, Hanghang Gao1,2
2University of Chinese Academy of Sciences, Beijing, China Columbia University, New York, NY *Equally Credited Authors (ECAs) 1 3 Abstract Previous non-volatile CIM (nvCIM) macros suffer from low storage density, unneces
ISSCC 2026 Session 30 AI / ML
A 22nm 96Mb 50.6-to-90.2TFLOPS/W Non-Linear MLC ReRAM CIM Macro with High-Retention for Mamba/Transformer/CNN
Hung-Hsi Hsu*1, Win-San Khwa*2, Yao-Kai Yeh1, Chih-Ling Wu1, Chang-Yuan Chen1, Yen-Che Huang1, Yen-Hua Lin1, Cheng-Feng
Jen-Chun Tien1, De-Qi You1, Ping-Sheng Wu2, Bo Zhang3, Ren-Shuo Liu1, Chih-Cheng Hsieh1, Kea-Tiong Tang1, Meng-Fan Chang1,2 National Tsing Hua University, Hsinchu, Taiwan, 2TSMC Corporate Research, Hsinchu, Taiwan, 3TSMC
ISSCC 2026 Session 30 AI / ML
A 28nm 106.85TOPS/W and 77.68TFLOPS/W CIM Macro with Stage-Wise-Enabled Lossless Compressors Based on Sign-Bit-Embedded Transition-Counting-Lines for Edge-AI Devices
Lichen Feng, Yunlong Liu, Lin Wu, Dong Li, Zhangming Zhu
Abstract This paper proposes a bit-parallel digital CIM macro featuring a lossless compressor based on transition-counting-lines (TCLs) for bit-column addition. The bus TCL incorporates signbit extension to support signe
ISSCC 2026 Session 30 AI / ML
A 16nm 72kb 120.5TFLOPS/W Versatile-Format Dual-Representation Gain-Cell CIM Macro for General Purpose AI Tasks
Jen-Chun Tien*1, Win-San Khwa*2, Le-Jung Hsieh1, Tsung-Han Lou1, Jyun-Cheng Bai1, Yu-Sheng Kao1, Ting-Hao Hsu1, Mai Tsen
Yao-Kai Yeh1, De-Qi You1, Ashwin Sanjay Lele3, Brian Crafton3, Bo Zhang3, Ping-Sheng Wu2, Ya-Tang Yang1, Chung-Chuan Lo1, Ren-Shuo Liu1, Chih-Cheng Hsieh1, Kea-Tiong Tang1, Meng-Fan Chang1,2 National Tsing Hua University
ISSCC 2026 Session 30 AI / ML
A 16Mb 166.8TOPS/W Near-Memory Phase-Domain-Computing Ferroelectric NAND Flash for Approximate Nearest Neighbor Search on Edge Devices
Weizeng Li*1,2, Bohan Wang*1,2, Zhidao Zhou1,2, Junyu Zhu1,2, Zhi Li1,2, Junzhe Shen1,2, Wenfeng Zha1,2, Zhongze Han1,2,
2University of Chinese Academy of Sciences, Beijing, China Columbia University, New York, NY *Equally Credited Authors (ECAs) 1 3 Abstract Previous near-memory computing (NMC) or in-memory-computing (IMC) NANDs suffers f
ISSCC 2026 Session 30 AI / ML
A 1.2GHz 12.77GB/s/mm2 3D Two-DRAM-One-Logic Process-Near-Memory Chip for Edge LLM Applications
Yue Cao1,2,3, Jinghao Jiang1, Haijun Jiang3, Qian Zhang3, Xuanzhi Liu2, Jinhui Cheng2, Zhongze Han2, Xiping Jiang4, Feng
Sciences, Beijing, China, 3Zhangjiang Laboratory, Shanghai, China Xi’an UniIC Semiconductors, Xi’an, China 1 4 Abstract A high-bandwidth-density (12.77GB/s/mm2) high-memory-density (99.4Mb/mm2) lowenergy-consumption (0.6
ISSCC 2026 Session 31 Other
A 14.08-to-135.69Token/s ReRAM-on-Logic Stacked Outlier-Free Large-Language-Model Accelerator with Block-Clustered Weight-Compression and Adaptive Parallel-Speculative-Decoding
Pingcheng Dong1,2, Yonghao Tan1,2, Xuejiao Liu2, Peng Luo2, Yu Liu2, Di Pang2, Songchen Ma1,2, Xijie Huang1, Shih-Yang L
System, Hong Kong, China, 3Hefei Reliance Memory, Hefei, China, Zhejiang University, Hangzhou, China 1 4 Abstract This work presents a 55nm speculative decoding-based LLM accelerator with bumpingbased face-to-face ReRAM-
ISSCC 2026 Session 31 Other
Revolver: Low-Bit GenAI Accelerator for Distilled-Model and CoT with Phase-Aware-Quantization and Rotation-Based Integer-Scaled Group Quantization
Sangjin Kim, Jungjun Oh, Byeongcheol Kim, Yuseon Choi, Gwangtae Park, Hoi-Jun Yoo
Abstract Revolver is a low-bit GenAI accelerator that enables reasoning and multi-turn chat on edge devices under tight memory and power budgets. It introduces Phase-Aware Precision Selection (PAPS) with Multi-Precision
ISSCC 2026 Session 31 Other
A 51.6μJ/Token Subspace-Rotation-Based Dual-Quantized Large-Language-Model Accelerator with Fused Scale-Activation INT Datapath and Rearranged Bit-Slice LUT Computation
Bo Liu, Zihan Zou, Xinming Yan, Xilong Kang, Xinyang Chen, Bo Hu, Jiaming Lin, Haoran Du, Jun Yang, Xin Si, Hao Cai
Abstract A 51.6μJ/token accelerator for rotation-based dual-quantized LLMs is presented. A subspace-rotation method with parallel Hadamard transposer reduces on-chip rotation power by 62.3% and area by 59.7%. A fused sca
ISSCC 2026 Session 31 Other
VARSA: A Visual Autoregressive Generation Accelerator Using Performance-Scalable Multi-Precision PE-LUT and Grid-Similarity Attention Compression
Jiaqi Zhou, Hongou Li, Keyao Jiang, Yiyang Sun, Tianyu Jia
Abstract This paper presents VARSA, a 22nm visual autoregressive accelerator for efficient text-toimage generation, featuring: 1) a performance-scalable hybrid PE-LUT core; 2) multi-precision parallel processing with run
ISSCC 2026 Session 31 AI / ML
SoulMate: A 9.8mW Mobile Intelligence System-on-Chip with Mixed-Rank Architecture for On-Device LLM Personalization
Seongyon Hong, Jiwon Choi, Jeonggyu So, Nayeong Lee, Wooyoung Jo, Zhamaliddin Kalzhan, Woojin Chin, Hoi-Jun Yoo
Abstract This work presents SoulMate, a fully on-device mobile intelligence system-on-chip, integrating retrieval-augmented generation (RAG) and fine tuning of a personal LLM. SoulMate is fabricated in 28nm CMOS with a n
ISSCC 2026 Session 31 AI / ML
Tri-Oracle: A 17.78μJ/Token Vision-Language Model Accelerator with Token-Attention-Weight Redundancy Prediction
Seungjae Yoo, Hangyeol Kim, Muyoung Son, Yi Chen, Suheon Jeong, Joo-Young Kim
Abstract This paper presents Tri-Oracle, a VLM accelerator exploiting token, attention, and weight redundancies. A Token Merging Unit (TMU) merges 68% of redundant tokens. An Attention Head Prediction Unit (AHPU) predict
ISSCC 2026 Session 31 Other
LUT-SSM: A 99.3TFLOPS/W LUT-Based State-Space Model Accelerator Using Energy-Efficient Element-Wise Layer Fusion and LUT-Friendly Weight-Only Quantization
Sunwoo Yoo*1,2, Dongyun Kam*3, Gunho Park4, Soonhyun Kwon1, Dongsoo Lee4, Youngjoo Lee1
Ulsan National Institute of Science and Technology, Ulsan, Korea, 4Naver Cloud, Seongnam, Korea *Equally Credited Authors (ECAs) 1 3 Abstract State-space models (SSMs) and weight-only quantization alleviate huge external
ISSCC 2026 Session 31 AI / ML
A 28nm Speculative-Decoding LLM Processor Achieving 105-to-685μs/Token Latency for Billion-Parameter Models
Yang Wang1, Huanyu Wang1, Jiaxin Yang1, Yutong Su1, Ruiqi Guo1, Zhiheng Yue1, Jiangyuan Gu1, Shaojun Wei1, Yang Hu1, Sho
Abstract LLMs face decoding bottlenecks. Speculative Decoding (SD) reduces latency via a small draft model for serial decoding and a large target model to verify in parallel. Despite this advantage, it still suffers from
ISSCC 2026 Session 31 Other
ALPhA-Vision: A Real-Time Always-On Vision Processor with 787μs Face Detection Latency in <5mW
Ben Keller1, Rangharajan Venkatesan1, Steve Dai1, Jason Clemons2, Matthew Fojtik3, Muya Chang1, Thierry Tambe4, Nathanie
Qijing Huang1, Shalini De Mello1, Brucek Khailany2 Nvidia, Santa Clara, CA, 2Nvidia, Austin, TX, 3Nvidia, Durham, NC, 4Stanford University, Stanford, CA 1 Abstract ALPhA-Vision is an always-on low-power subsystem for DNN
ISSCC 2026 Session 32 Data Converters
A 98.5dB-SNDR 250kHz-BW 1V-Supply Continuous-Time Zoom ADC with Smart-Tracking and Floating-Tail-Resistor Linearized Gm-C Loop Filter
Chaoyang Xing, Yilu Cui, Sining Pan, Yi Zhong, Nan Sun, Lu Jie
Abstract This paper presents a 98.5dB SNDR, 250kHz bandwidth CT incremental Zoom ADC. The design features a chopped capacitive front-end, Gm-C residue integrator, and 10b SAR ADC. A smart-tracking (ST) technique with dyn
ISSCC 2026 Session 32 Data Converters
A PVT-Robust Frequency-Scalable Fully Dynamic ΔΣ ADC with Bottom-Plate Level Shift
Tohru Kaneko1, Hideaki Ishida1, Yuzuru Yamaki1, Satoshi Takehara1, Un-Ku Moon2
Abstract A fully dynamic calibration-free ΔΣ ADC using capacitive-degeneration integrators with bottom-plate level shift (BPLS) is presented. BPLS samples negative charge to reduce threshold-voltage dependence, improve s
ISSCC 2026 Session 32 Data Converters
An 85.1dB-SNDR 8MS/s Incremental Pipeline ADC with Dual-Residue-Assisted Exponential Quantization
Zongnan Wang, Bingrui Li, Haoyang Luo, Chenyuan Chu, Jiachang Yang, Yuan Wang, Xiyuan Tang
Abstract This paper presents an incremental pipeline ADC with dual-residue architecture. An exponential ΔΣ loop is proposed to directly quantize the residue, replacing conventional interpolators that are complex and less
ISSCC 2026 Session 32 Data Converters
A 103.9dB-SFDR 83.8dB-SNDR 3MHz-BW Multi-Bit Quadratic-Exponential Noise-Coupled IDSM with High Tolerance to DAC Non-Linearity
Zhensheng Li1,2, Biao Wang3, Mingqiang Guo1, Rui P. Martins1, Sai-Weng Sin1
Abstract This paper presents a quadratic-exponential noise-coupled (NC) IDSM to achieve a quantization noise shaping effect greater than 4th order with OSR 22, while having high tolerance to DAC non-linearity and a small
ISSCC 2026 Session 33 RF & Wireless
A 22-to-25GHz CMOS Non-Magnetic Balanced Circulator Achieving at Least 20dB TX-RX Isolation for an Antenna VSWR of 2
Heqi Deng, Ehsan Shokrolahzade, Niels Fakkel, Marco Spirito, Fabio Sebastiano, Masoud Babaie
Abstract This paper presents a mm-wave non-magnetic balanced circulator that bridges the gap between the high insertion loss (IL) of electrical balance duplexers and the transmitter (TX)to-receiver (RX) isolation degrada
ISSCC 2026 Session 33 RF & Wireless
An Infinite-Loop CMOS-Compatible Isolator Enabled True VSWR-Resilient Power Amplifier for 6G FR3 in Massive MIMO and Phased-Array Systems
Mohsen Ghorbanpoor1,2, Mohamed Eleraky2, Konstantinos Manetakis1, Pascal Nussbaum1, Hua Wang2
Abstract This work presents a balanced power amplifier (PA) featuring a time-varying output matching network designed to suppress unwanted reflections and couplings in phased array and MIMO systems. By leveraging lossy n
ISSCC 2026 Session 33 RF & Wireless
A 6GHz Quadrature Digital Transmitter Supporting a 1GHz Signal Bandwidth with <-40dB EVM Floor and >55dB Dynamic Range in 28nm CMOS
Yicheng Li*, Feng Xie*, Yun Yin, Lixuan Cao, Tianze Yang, Jiaxiang Li, Hongtao Xu
*Equally Credited Authors (ECAs) Abstract A 6GHz quadrature DTX supporting a 1GHz signal bandwidth is presented in 28nm CMOS, where static and dynamic nonlinearities are carefully optimized. Occupying a core area of 0.67
ISSCC 2026 Session 33 RF & Wireless
A 4.5-to-7.2GHz Beyond Rail-to-Rail Output SCPA with 27.9dBm Pout and 46.2% DE at 5.1GHz Using Periodic Voltage-Pacing Network
Bingzheng Yang1,2, Jie Zhou1, Junfa Mao1, Xun Luo1
Abstract This work presents a switched-capacitor power amplifier (SCPA) using periodic voltagepacing network, capable of generating output voltage beyond conventional rail-to-rail limit, which enhances both the output po
ISSCC 2026 Session 34 RF & Wireless
A 128mW 2×4 Radar-on-Chip with Forward-ΔΣ DPLL-Locked Multi-Injection RTWO in 22nm CMOS Enabling ADC-Free Digitization and PS-Free Beamforming Demonstrated in In-Cabin Vital-Sign Monitoring
Liheng Lou1, Zeyu Zhou1, Luyao Yuan1, Yucheng Long1, Gong Chen2, Xiaoyu Li3, Shaoqi Yang1, Han Cui1, Ji Peng1, Weichen T
Abstract A 2&4 phased-array SIL radar-on-chip in 22nm CMOS is demonstrated for in-cabin vitalsign monitoring. Built on a forward-ΔΣ DPLL-locked multi-injection RTWO at 20GHz, it concurrently serves as (de)modulator, beam
ISSCC 2026 Session 34 RF & Wireless
A 234-to-252GHz Dual-Polarized Transceiver Using Antenna-in-Package Technologies for Cross-Polarimetric Sensing
Xibi Chen1, Georgios C. Dogiamis2,3, Ruonan Han1
Abstract We present a 234-to-252GHz dual-polarized monostatic CMOS (Intel16) transceiver for cross-polarimetric sensing, with antenna-in-package (AiP) technology and a 10&10mm2 modular system assembly. The AiP achieves 6
ISSCC 2026 Session 34 RF & Wireless
A 1.6-to-3.8GHz Reconfigurable FMCW Radar SoC with 81.5% Relative-Bandwidth PLL for Real-Time Life Detection in Disaster Response
Renjie Fu*1, Linxu Shi*1, Fanxun Cai1, Yunqi Yang1, Hao Lei1, Zhigang Fu1, Yilin Xu1, Pengcheng Wang1, Ziyang Li1, Shixu
Lianbo Wu1,2, Guangzhong Zhang3, Naike Du3, Zijie Wang1, Yucong Gu1, Xiuzhu Ye3, Xiao Fang1, Weisheng Zhao1,2, Hui Zhang1,2 Beihang University, Beijing, China, 2Tianmushan Laboratory, Hangzhou, China, 3Beijing Institute
ISSCC 2026 Session 34 RF & Wireless
A 0.0523mm2 11.4mW IEEE 802.15.4a/z/ab Compatible Aliasing-Suppressing All-Digital IR-UWB Transmitter Featuring Comb-Notched Maximally Flat Amplitude Spectral Shaping
Jihun Son, Minsu Park, Chansoo Park, Kyoungtae Lee, Jong-Hyeok Yoon, Junghyup Lee, Minyoung Song
Abstract This work presents an IEEE 802.15.4a/z/ab compatible IR-UWB TX using an anti-phase delayed dual-Gaussian pulse with self-delay pulse comb-notch to maximize the spectrum utilization while meeting global masks. A
ISSCC 2026 Session 35 Wireless
CANCEL: A Cancellation-Aided Ambient IoT Nanopowered Communication System for Energy-Limited Tags
Hany Abolmagd1,2, Shih-Kai Kuo3, Md Nazmul Hasan1, Sreevatsank Kadaveru3, Aboozar Ghorbani Nejad1, Manideep Dunna3, Ata
Abstract This paper presents a system that breaks the trade-off between range and power present in conventional wireless backscatter systems caused by phase noise leakage at low intermediate frequencies (IFs). By employi
ISSCC 2026 Session 35 Wireless
A 20mg Battery-Free Crystal-Less Miniaturized TX System for Flying Insects Localization with 1.45km Range
Yi Shen, Steve Young, Demba Komma, Ryan Strohman, Rahul Narasimha, Jeongtaek Chang, Andrea Bejarano-Carbo, Yunfan Wang,
crystal-less localization tag with a 28nm TX IC, custom antenna, PV cells, and storage cap achieves 0.9m accuracy over 1.45km. Designed for tracking wasps, this system also enables unobtrusive monitoring of other small i
ISSCC 2026 Session 35 Wireless
A 0.052mm2 Blocker-Tolerant Non-Uniform Current Sub-Sampling Receiver with a Discrete-Time FIR/IIR Filter Enabling 56dB Rejection in 28nm CMOS
Mostafa Ayesh1,2, Mike Shuo-Wei Chen2
052mm2 blocker-tolerant 18-to-22GHz non-uniform current subsampling (NUCSS) receiver featuring NU DT FIR/IIR filtering and equalized Gm-cells, addressing aliasing, noise folding, and alias/non-alias band blockers. Fabric
ISSCC 2026 Session 35 Wireless
A NearLink 2.0 Compliant Dual-Band RF Transceiver for Smart Wireless Personal Audio Applications
Rui Yu1, Supeng Liu1, Xuesong Chen1, Tantan Zhang1, Wei Khuen Chan1, Deyong Hu1, Haohong Yu1, Wang Yao1, Theng Tee Yeo1,
0-compliant dual-band RF transceiver. Compared with traditional BT/BLE counterparts, this design achieves receiver figures of merit (FOM) of 188.7dB in the 2.4GHz band and 185.2dB in the 5GHz band, exceeding the state-of
ISSCC 2026 Session 35 Wireless
Fully Integrated Backscattered WiFi 802.11b Transmitter with Active Harmonics and Image Rejection for 30dB IRR and 36dB HRR at 0.88µW
Ruiyuan Yang, Karim Ali, Massimo Alioto
Abstract A sub-μW fully integrated backscattered 802.11b WiFi transmitter is introduced with active image and harmonics rejection for common dense wireless environments. Rejection is achieved via time-domain complex filt
ISSCC 2026 Session 36 AI / ML
ReFIND: A Resolution-Reconfigurable Bio-Signal Classification SoC Enabling >10× Savings in AFE Power per Channel
Aviral Pandey1, I-Ting Lin1, Dhruv Vaish1, Ashwin Rammohan1, Savit Bhat1, Jade Pinkenburg1, Rikky Muller1,2
Abstract This work presents ReFIND, an SoC integrating together 16 resolution-reconfigurable AFEs, a feature extractor, and a classifier. The VCO ADC architecture trades power for resolution by scaling the integration ti
ISSCC 2026 Session 36 AI / ML
A 43.8-to-662.0μW 27.5-to-878.9fps Frame-Rate-Scalable Duty-Cycled Electrical Impedance Tomography System with MIMO Current-Balancing IA
Haidam Choi*1, Gichan Yun*1, Ji-Hoon Suh2, Seonwoo Park1, Donghyeon Yi1, Sohmyung Ha3, Minkyu Je1
*Equally Credited Authors (ECAs) 1 Abstract This paper presents a frame-rate-scalable duty-cycled electrical impedance tomography system to reduce average power consumption. A proposed multiple-input multiple-output curr
ISSCC 2026 Session 36 AI / ML
A 0.62μW/sensor 82fps Time-to-Digital Impedance Measurement IC with Unified Excitation/Readout Front-End for Large-Scale Piezo-Resistive Sensor Array
Jiayang Li1,2, Qingyu Zhang2, Sohmyung Ha2,3, Andreas Demosthenous2, Dai Jiang2, Yu Wu2
Abstract This paper presents a fast impedance-measurement IC for large-scale piezo-resistive sensor arrays. It features a unified differential time-to-digital demodulation architecture that reads out impedance directly t
ISSCC 2026 Session 36 AI / ML
A Neural Interface SoC for Smart Glasses with Low-Power Neural Commanding and Efficient LoRA-Enabled On-Chip Learning
Zhiwei Zhong*1, He Yu*1, William McGarry1, Yijie Wei2, Jie Gu1
*Equally Credited Authors (ECAs) 1 Abstract This work presents a 65nm ExG SoC for smart glasses, enabling low-power neural interaction. A 10-ch AFE and on-chip CNN deliver real-time EOG/EMG/EEG inference. Ondevice contin
ISSCC 2026 Session 36 AI / ML
A 16.4nJ/Class Patient-Independent Prototype-Based Spatio-Temporal CNN Processor with Forward-Inference-Based Adaptation for Robust and Low-Latency Seizure Detection
Yang Wang1, Longyang Lin1, Jerald Yoo2, Jiamin Li1
Abstract We present a patient-independent, prototype-based spatio-temporal CNN processor for seizure detection, achieving high accuracy without patient-specific data, at an energy of 16.4nJ/class and latency of <120ms. A
ISSCC 2026 Session 36 AI / ML
ANP-OT: A 0.17nW/Synapse 0.46pJ/SOP Neuromorphic Olfactory Processor with On-Chip Transfer Learning for Non-Invasive Cross-Hospital Cross-Pulmonary-Disease Diagnosis
Dexuan Huo*1, Ziyi Cheng*1, Jilin Zhang1, Yumeng Jiang2, Lushuo Zhang3, Hui Wang3, Na Ma2, Zebin Huang2, Minggui Lin2, Y
Shijiazhuang, China National Tsing Hua University, Hsinchu, Taiwan *Equally Credited Authors (ECAs) 1 4 Abstract This paper reports an olfactory processor with on-chip transfer learning for cross-hospital and cross-pulmo
ISSCC 2026 Session 36 AI / ML
A 185.6dB-FOMDR 180.3dB-FOMSNDR 10.64-NEF NS-SAR-ADC with Calibration-Free 2nd-Order kT/C-Noise Shaping for Wearable ExG Acquisition
Geunha Kim, Kyuhyeon Park, Minoo Lee, Jeongyoon Wie, Seokhan Jeong, Yeonjae Shin, Kyoungtae Lee, Jong-Hyeok Yoon, Minyou
Abstract To enable high-fidelity wearable ExG acquisition, this paper presents an NS-SAR ADC that performs 2nd-order shaping of both quantization and kT/C noises through a multi-tasking integrator (MTI) and loop dynamics