Table of Contents

• A single-stage detector of cerebral microbleeds using 3D feature fused region proposal network (FFRP-Net)Jun-Ho Kim, Mohammed A. Al-masni, Hae-Joon Lee, Yoon-Seok Choi, Dong-hyun Kim. 1-4 [doi]
• 2 transistors for online training and inferenceMatteo Farronato, Margherita Melegari, Saverio Ricci, Shahin Hashemkani, Christian Monzio Compagnoni, Daniele Ielmini. 1-4 [doi]
• Memristor-Based In-Circuit Computation for Trace-Based STDPDeyu Wang, Jiawei Xu 0002, Feng Li, Lianhao Zhang, Yuning Wang, Anders Lansner, Ahmed Hemani, Lirong Zheng 0001, Zhuo Zou. 1-4 [doi]
• Characteristic Comparison of Korean Unstructured Dialogue Corpora by Morphological AnalysisSeona Moon, Saim Shin, San Kim, Minyoung Jung, Jin Yea Jang. 1-4 [doi]
• ANOLUF: A Feature Selection and Channel Selection Methodology for Medical Event-DetectionReza Ranjandish. 1-4 [doi]
• Deep Learning-based Real-time Segmentation for Edge Computing DevicesJaeho Kwak, Hyunwoo Yu, Yubin Cho, Suk-Ju Kang, Jaechan Cho, Jun-Young Park, Ji Won Lee. 1 [doi]
• An Architecture of Sparse Length Sum Accelerator in AxDIMMShinhaeng Kang, Byeongho Kim, Sukhan Lee 0002, Kyomin Sohn. 1-4 [doi]
• Energy-Efficient High-Accuracy Spiking Neural Network Inference Using Time-Domain NeuronsJoonghyun Song, Jiwon Shirn, Hanseok Kim, Woo-seok Choi. 5-8 [doi]
• Analog-Domain Time-Series Moment Extraction for Low Power Predictive Maintenance AnalyticsAhish Shylendra, Priyesh Shukla, Swarup Bhunia, Amit Ranjan Trivedi. 9-12 [doi]
• Effect of ReRAM Neuromorphic Circuit Array Variation and Fault on Inference AccuracyPaul Quibuyen, Tom Jiao, Wong Hiu Yung. 13-16 [doi]
• A probability-inspired normalization for fixed-precision Hyper-Dimensional ComputingSohum Datta, Jan M. Rabaey. 21-24 [doi]
• Enabling Energy-Efficient Inference for Self-Attention Mechanisms in Neural NetworksQinyu Chen, Congyi Sun, Zhonghai Lu, Chang Gao. 25-28 [doi]
• Temporal Frame Filtering with Near-Pixel Compute for Autonomous DrivingWantong Li, Qiucheng Wu, Janak Sharda, Shiyu Chang, Shimeng Yu. 29-32 [doi]
• A General-Purpose and Configurable Planar Data Processor for Energy-Efficient Pooling ComputationLunshuai Pan, Peng Xue, Hongxing Li, Litao Sun, Mingqiang Huang. 33-36 [doi]
• A 0.95 mJ/frame DNN Training Processor for Robust Object Detection with Real-World Environmental AdaptationDonghyeon Han, Dongseok Im, Gwangtae Park, YoungWoo Kim, Seokchan Song, Juhyoung Lee, Hoi-Jun Yoo. 37-40 [doi]
• Class Attention Transfer for Semantic SegmentationYubin Cho, Sukju Kang. 41-45 [doi]
• Lightweight and Efficient Neural Network Using Progressively Greedy SearchJheng-Yi Chang, Ching-Te Chiu, Pin-Hsuan Chen. 46-49 [doi]
• Deep Learning Toolkit-Driven Equivalence Checking of Flow-Based Computing SystemsSuraj Singireddy, Rickard Ewetz, Sumit Kumar Jha 0001. 50-53 [doi]
• GaN Distributed RF Power Amplifer Automation Design with Deep Reinforcement LearningYuxiang Sun, Mouhacine Benosman, Rui Ma. 54-57 [doi]
• Real-time prediction of cardiovascular diseases using reservoir-computing and fusion with electronic medical recordSudarsan Sadasivuni, Vasundhara Damodaran, Imon Banerjee, Arindam Sanyal. 58-61 [doi]
• MemSE: Fast MSE Prediction for Noisy Memristor-Based DNN AcceleratorsJonathan Kern, Sébastien Henwood, Gonçalo Mordido, Elsa Dupraz, Abdeldjalil Aïssa-El-Bey, Yvon Savaria, François Leduc-Primeau. 62-65 [doi]
• TAC-RAM: A 65nm 4Kb SRAM Computing-in-Memory Design with 57.55 TOPS/W supporting Multibit Matrix-Vector Multiplication for Binarized Neural NetworkXiaomeng Wang, Xuejiao Liu, Xianghong Hu, Xiaopeng Zhong, Xizi Chen, Yu Liu, Patrick Kong, Fengshi Tian, Chi-Ying Tsui. 66-69 [doi]
• DualPIM: A Dual-Precision and Low-Power CNN Inference Engine Using SRAM- and eDRAM-based Processing-in-Memory ArraysSangwoo Jung, JaeHyun Lee, Huiseong Noh, Jong-Hyeok Yoon, Jaeha Kung. 70-73 [doi]
• BiMDiM: Area efficient Bi-directional MRAM Digital in-Memory ComputingDongsu Kim, Yunho Jang, Taehwan Kim, Jongsun Park 0001. 74-77 [doi]
• T-EAP: Trainable Energy-Aware Pruning for NVM-based Computing-in-Memory ArchitectureCheng-Yang Chang, Yu-Chuan Chuang, Kuang-Chao Chou, An-Yeu Wu. 78-81 [doi]
• Towards On-device Domain Adaptation for Noise-Robust Keyword SpottingCristian Cioflan, Lukas Cavigelli, Manuele Rusci, Miguel de Prado, Luca Benini. 82-85 [doi]
• Temporal Redundancy-Based Computation Reduction for 3D Convolutional Neural NetworksUdari De Alwis, Massimo Alioto. 86-89 [doi]
• MOGNET: A Mux-residual quantized Network leveraging Online-Generated weightsVan Thien Nguyen, William Guicquero, Gilles Sicard. 90-93 [doi]
• Survey and Comparison of Milliwatts Micro controllers for Tiny Machine Learning at the EdgeMarco Giordano, Luigi Piccinelli, Michele Magno. 94-97 [doi]
• Optimizing Exponent Bias for Sub-8bit Floating-Point Inference of Fine-tuned TransformersJanghwan Lee, Jungwook Choi. 98-101 [doi]
• Stain-free Holographic Detection of Circulating Tumor Cells Using A Deep Feature Fusion Neural NetworkMaoyu Wei, Xiwei Huang, Wentao Han, Zekun Tian, Guohua Wu, Shuqi Wang, Lingling Sun. 102-105 [doi]
• Energy Efficient Text Spotting Technique for Mobile Edge ComputingSeonghwan Jeong, Youngmin Kwon. 106-109 [doi]
• A Study On Reliable High-Speed HBC Enhanced by ECC for Wearable Neural InterfacesSeungsik Moon, Jaehyun Ko, Byungsub Kim, Youngjoo Lee. 110-113 [doi]
• Deep Learning aided BP-Flip Decoding of Polar CodesYongje Lee, Useok Lee, H. H. Fisseha, Myung Hoon Sunwoo. 114-117 [doi]
• Improving Deep-Learning-based Optical Music Recognition for Camera-based InputsWeihan Ng, Xuan Truong Nguyen. 118-121 [doi]
• AutoDeepHLS: Deep Neural Network High-level Synthesis using fixed-point precisionMohammad Riazati, Masoud Daneshtalab, Mikael Sjödin, Björn Lisper. 122-125 [doi]
• Intrinsic Sparse LSTM using Structured Targeted Dropout for Efficient Hardware InferenceJohanna Hedlund Lindmar, Chang Gao, Shih-Chii Liu. 126-129 [doi]
• DC-MPQ: Distributional Clipping-based Mixed-Precision Quantization for Convolutional Neural NetworksSeungjin Lee, Hyun Kim. 130-133 [doi]
• An Energy-Efficient Spiking Neural Network for Finger Velocity Decoding for Implantable Brain-Machine InterfaceJiawei Liao, Lars Widmer, Xiaying Wang, Alfio Di Mauro, Samuel R. Nason-Tomaszewski, Cynthia A. Chestek, Luca Benini, Taekwang Jang. 134-137 [doi]
• A Full-Neuron Memory Model Designed for Neuromorphic SystemsKefei Liu 0002, Xiaoxin Cui, Chenglong Zou, Yisong Kuang, Yi Zhong, Kanglin Xiao, Yuan Wang 0001. 138-141 [doi]
• Optimizing Accelerator Configurability for Mobile Transformer NetworksSteven Colleman, Peter Zhu, Wei Sun, Marian Verhelst. 142-145 [doi]
• Configurable CNN Accelerator in Speech Processing based on Vector ConvolutionLanqing Hui, Shan Cao, Zhiyong Chen, Shan Li, Shugong Xu. 146-149 [doi]
• M3FPU: Multiformat Matrix Multiplication FPU Architectures for Neural Network ComputationsWon Jeon, Yong Cheol Peter Cho, Hyun-Mi Kim, Hyeji Kim, Jaehoon Chung, Ju Yeob Kim, Miyoung Lee, Chun-Gi Lyuh, Jinho Han, Youngsu Kwon. 150-153 [doi]
• Quantized ID-CNN for a Low-power PDM-to-PCM Conversion in TinyML KWS ApplicationsPaola Vitolo, Gian Domenico Licciardo, Anna Chiara Amendola, Luigi Di Benedetto, Rosalba Liguori, Alfredo Rubino, Danilo Pau. 154-157 [doi]
• A Real-time Super-resolution Accelerator Using a big. LITTLE Core ArchitectureXuan Truong Nguyen, Tuan Nghia Nguyen 0002, Hyuk-Jae Lee, Kyujoong Lee. 158-161 [doi]
• Hybrid Binary-Stochastic Computing-based ANN Design with Binary-in-Series-out ReLUKun-Chih Jimmy Chen, Cheng-Ting Chen. 162-165 [doi]
• A Behavior-Level Simulation Framework for RRAM-Based Deep Learning Accelerators with Flexible Architecture ConfigurationsHsu-Yu Kao, Shih-Hsu Huang. 166-169 [doi]
• Scale up your In-Memory Accelerator: Leveraging Wireless-on-Chip Communication for AIMC-based CNN InferenceNazareno Bruschi, Giuseppe Tagliavini, Francesco Conti 0001, Sergi Abadal, Albert Cabellos-Aparicio, Eduard Alarcón, Geethan Karunaratne, Irem Boybat, Luca Benini, Davide Rossi. 170-173 [doi]
• X-Fault: Impact of Faults on Binary Neural Networks in Memristor-Crossbar Arrays with Logic-in-Memory ComputationFelix Staudigl, Karl J. X. Sturm, Maximilian Bartel, Thorben Fetz, Dominik Sisejkovic, Jan Moritz Joseph, Letícia Bolzani Pöhls, Rainer Leupers. 174-177 [doi]
• An Asynchronous Soft Macro for Ultra-Low Power Communication in Neuromorphic ComputingDavide Bertozzi, Kshitij Bhardwaj, Steven M. Nowick. 178-181 [doi]
• A 62.45 TOPS/W Spike-Based Convolution Neural Network Accelerator with Spatiotemporal Parallel Data Flow and Sparsity MechanismChen-Han Hsu, Yu-Hsiang Cheng, Zhaofang Li, Ping-Li Huang, Kea-Tiong Tang. 182-185 [doi]
• A Closed-Loop Brain-Machine Interface with One-Shot Learning and Online Tuning for Patient-Specific Neurological Disorder TreatmentChne Wuen Tsai, Miaolin Zhang, Lian Zhang, Jerald Yoo. 186-189 [doi]
• Challenges and Opportunities of Edge AI for Next-Generation Implantable BMIsMohammadAli Shaeri, Arshia Afzal, Mahsa Shoaran. 190-193 [doi]
• Towards Intelligent Noninvasive Closed-loop Neuromodulation SystemsJie Yang, Ning Li, Yun-Hsuan Chen, Mohamad Sawan. 194-197 [doi]
• A Wearable High Blood Pressure Classification Processor Using Photoplethysmogram Signals through Power Spectral Density FeaturesMuhammad Sheeraz, Abdul Rehman Aslam, Nauman Hafeez, Hadi Heidari, Muhammad Awais Bin Altaf. 198-201 [doi]
• Reconfigurable Acceleration of Graph Neural Networks for Jet Identification in Particle PhysicsZhiqiang Que, Marcus Loo, Wayne Luk. 202-205 [doi]
• A Mapping Model of SNNs to Neuromorphic HardwareXiuping Cui, Xiaochen Hao, Yun Liang 0001, Guangyu Sun 0003, Xiaoxin Cui, Yuan Wang, Ru Huang. 206-209 [doi]
• Hybrid Neuromorphic Systems: An Algorithm-Application-Hardware-Neuroscience Co-Design Perspective: Invited Special Session PaperSen Lu, Abhronil Sengupta. 210-213 [doi]
• ZEN: A flexible energy-efficient hardware classifier exploiting temporal sparsity in ECG dataMatthias Jobst, Johannes Partzsch, Chen Liu, Liyuan Guo, Dennis Walter, Saif-Ur Rehman, Stefan Scholze, Sebastian Höppner, Christian Mayr 0001. 214-217 [doi]
• Biologically-inspired training of spiking recurrent neural networks with neuromorphic hardwareThomas Bohnstingl, Anja Surina, Maxime Fabre, Yigit Demirag, Charlotte Frenkel, Melika Payvand, Giacomo Indiveri, Angeliki Pantazi. 218-221 [doi]
• A 200M-Query-Vector/s Computing-in-RRAM ADC-less k-Nearest-Neighbor Accelerator with Time-Domain Winner-Takes-All CircuitsChen Mu, Yunzhengmao Wang, Jiapei Zheng, Shiwei Liu, Keji Zhou, Shan Tang, Chixiao Chen, Qi Liu. 222-225 [doi]
• A Vector Systolic Accelerator for Multi-Precision Floating-Point High-Performance ComputingKai Li, Junzhuo Zhou, Boyu Li, Shuxing Yang, Sixiao Huang, Shaobo Luo, Wei Mao, Hao Yu 0001. 226-229 [doi]
• An Efficient CNN Training Accelerator Leveraging Transposable Block SparsityMingyang Xu, Jinming Lu, Zhongfeng Wang, Jun Lin. 230-233 [doi]
• Design Exploration of An Energy-Efficient Acceleration System for CNNs on Low-Cost Resource-Constraint SoC-FPGAsShao-Cheng Wen, Po-Tsang Huang. 234-237 [doi]
• Extensible and Modularized Processing Unit Design and Implementation for AI AcceleratorChung-Bin Wu, Yu-Kuan Hsiao, Wei-Hsuan Chang. 238-241 [doi]
• Radar and Camera Fusion for Vacant Parking Space DetectionBo-Xun Wu, Jia-Jheng Lin, Hsien-Kai Kuo, Po-Yu Chen, Jiun-In Guo. 242-245 [doi]
• An SoC Integration Ready VLIW-Driven CNN Accelerator with High Utilization and ScalabilityChia-Heng Hu, I-Hao Tseng, Pei-Hsuan Kuo, Juinn-Dar Huang. 246-249 [doi]
• A Novel DNN Accelerator for Light-weight Neural Networks: Concept and DesignYu-Guang Chen, Tsung-Han Hsieh, Yi-Chen Ho, Jing-Yang Jou. 250-253 [doi]
• Efficient Deep Learning Algorithm for Alzheimer's Disease Diagnosis using Retinal ImagesDo Young Kim, Young Jun Lim, Joon Hyeon Park, Myung Hoon Sunwoo. 254-257 [doi]
• Contrast Agent Removal for Brain CT Angiography Using Switchable CycleGAN with AdaIN and Histogram EqualizationInhwa Han, Boah Kim, Eung-Yeop Kim, Jong Chul Ye. 262-265 [doi]
• Quality Evaluation Method for Chest X-Ray Images using the Reference PatternsSuBin Bea, Ye-seul Park, Joo-Sung Sun, Jung-Won Lee. 266-269 [doi]
• Lightweight End-to-End Stress Recognition using Binarized CNN-LSTM ModelsMyeongji Yun, Seungwoo Hong, Sunwoo Yoo, Junho Kim, Sung Min Park, Youngjoo Lee. 270-273 [doi]
• Convolutional Neural Network Classification of Basal Cell Carcinoma in Harmonically Generated Microscopy ImagesZheng-Han Yu, Gwo Giun Chris Lee, Yi-Hua Liao, Chi-Kuang Sun. 274-278 [doi]
• GAN - Based Medical Image Registration for Augmented Reality ApplicationsTae-Ho Lee, Viduranga Munasinghe, Yan-Mei Li, Jiajie Xu, Hyuk-Jae Lee, Jin-Sung Kim. 279-282 [doi]
• CMOS Implementation of Spiking Equilibrium Propagation for Real-Time LearningBrady Taylor, Nicky Ramos, Eric C. Yeats, Hai Li 0001. 283-286 [doi]
• Tiny-PULP-Dronets: Squeezing Neural Networks for Faster and Lighter Inference on Multi-Tasking Autonomous Nano-DronesLorenzo Lamberti, Vlad Niculescu, Michal Barcis, Lorenzo Bellone, Enrico Natalizio, Luca Benini, Daniele Palossi. 287-290 [doi]
• Robotic Computing on FPGAs: Current Progress, Research Challenges, and OpportunitiesZishen Wan, Ashwin Sanjay Lele, Bo Yu, Shaoshan Liu, Yu Wang, Vijay Janapa Reddi, Cong Hao, Arijit Raychowdhury. 291-295 [doi]
• Tiny Robot Learning: Challenges and Directions for Machine Learning in Resource-Constrained RobotsSabrina M. Neuman, Brian Plancher, Bardienus Pieter Duisterhof, Srivatsan Krishnan, Colby R. Banbury, Mark Mazumder, Shvetank Prakash, Jason Jabbour, Aleksandra Faust, Guido C. H. E. de Croon, Vijay Janapa Reddi. 296-299 [doi]
• Low-power Autonomous Adaptation System with Deep Reinforcement LearningJuhyoung Lee, Wooyoung Jo, Seong-Wook Park, Hoi-Jun Yoo. 300-303 [doi]
• An Optimization Framework for Efficient Vision-Based Autonomous Drone NavigationMozhgan Navardi, Aidin Shiri, Edward Humes, Nicholas R. Waytowich, Tinoosh Mohsenin. 304-307 [doi]
• A Buyer-traceable DNN Model IP Protection Method Against Piracy and MisappropriationSi Wang, Chaohui Xu, Yue Zheng, Chip-Hong Chang. 308-311 [doi]
• A Survey on Side-Channel-based Reverse Engineering Attacks on Deep Neural NetworksYuntao Liu 0001, Michael Zuzak, Daniel Xing, Isaac McDaniel, Priya Mittu, Olsan Ozbay, Abir Akib, Ankur Srivastava. 312-315 [doi]
• Sample-Specific Backdoor based Active Intellectual Property Protection for Deep Neural NetworksYinghao Wu, Mingfu Xue, Dujuan Gu, Yushu Zhang, Weiqiang Liu. 316-319 [doi]
• Dynamic Backdoors with Global Average PoolingStefanos Koffas, Stjepan Picek, Mauro Conti. 320-323 [doi]
• Hardening DNNs against Transfer Attacks during Network Compression using Greedy Adversarial PruningJonah O'Brien Weiss, Tiago A. O. Alves, Sandip Kundu. 324-327 [doi]
• High-Fidelity Model Extraction Attacks via Remote Power MonitorsAnuj Dubey, Emre Karabulut, Amro Awad, Aydin Aysu. 328-331 [doi]
• A Hybrid Spiking Recurrent Neural Network on Hardware for Efficient Emotion RecognitionChenglong Zou, Xiaoxin Cui, Yisong Kuang, Yuan Wang 0001, Xinan Wang. 332-335 [doi]
• An Adaptive High-Performance Quantization Approach for Resource-Constrained CNN InferenceHsu-Hsun Chin, Ren-Song Tsay, Hsin-I Wu. 336-339 [doi]
• Irrelevant Pixels are Everywhere: Find and Exclude Them for More Efficient Computer VisionCaleb Tung, Abhinav Goel, Xiao Hu, Nick Eliopoulos, Emmanuel S. Amobi, George K. Thiruvathukal, Vipin Chaudhary, Yung-Hsiang Lu. 340-343 [doi]
• Power-Efficient Double-Cyclic Low-Precision Training for Convolutional Neural NetworksSungrae Kim, Hyun Kim. 344-347 [doi]
• Hardware-Friendly Logarithmic Quantization with Mixed-Precision for MobileNetV2Dahun Choi, Hyun Kim. 348-351 [doi]
• Navigating Local Minima in Quantized Spiking Neural NetworksJason Kamran Eshraghian, Corey Lammie, Mostafa Rahimi Azghadi, Wei D. Lu. 352-355 [doi]
• Tiny TCN model for Gesture Recognition With Multi-point Low power ToF-SensorsStephan Boner, Christian Vogt 0002, Michele Magno. 356-359 [doi]
• A Lightweight Detector for Small ObjectsAkshay Kumar Sharma, Kyung Ki Kim. 360-361 [doi]
• Real-time Radar Gesture Classification with Spiking Neural Network on SpiNNaker 2 PrototypeJiaxin Huang, Bernhard Vogginger, Pascal Gerhards, Felix Kreutz, Florian Kelber, Daniel Scholz, Klaus Knobloch, Christian Georg Mayr. 362-365 [doi]
• AI driven Wide Dynamic Range CMOS Image SensorWilfred Kisku, Mohit Bhushan, Amandeep Kaur 0005, Deepak Mishra. 366-370 [doi]
• SENeCA: Scalable Energy-efficient Neuromorphic Computer ArchitectureAmirreza Yousefzadeh, Gert-Jan van Schaik, Mohammad Tahghighi, Paul Detterer, Stefano Traferro, Martijn Hijdra, Jan Stuijt, Federico Corradi, Manolis Sifalakis, Mario Konijnenburg. 371-374 [doi]
• Analog LSTM for Keyword SpottingKofi Odame, Maria T. Nyamukuru. 375-378 [doi]
• Neuromorphic Event-Based Spatio-temporal Attention using Adaptive MechanismsAmélie Gruel, Antonio Vitale, Jean Martinet, Michele Magno. 379-382 [doi]
• MARSv2: Multicore and Programmable Reconstruction Architecture SRAM CIM-Based Accelerator with Lightweight NetworkChia-Yu Hsieh, Shih-Ting Lin, Zhaofang Li, Chih-Cheng Lu, Meng-Fan Chang, Kea-Tiong Tang. 383-386 [doi]
• Efficient Hardware Implementation for Online Local Learning in Spiking Neural NetworksWenzhe Guo, Mohammed E. Fouda, Ahmed M. Eltawil, Khaled Nabil Salama. 387-390 [doi]
• FPGA Accelerator for Radar-Based Human Activity RecognitionKangjie Long, Chaolin Rao, Xiangyu Zhang, Wen Bin Ye 0001, Xin Lou. 391-394 [doi]
• A Winograd-Based Highly-Parallel Convolution Engine for 8-bit CNN AccelerationYong-Tai Chen, Yu-Feng Ou, Chao-Tsung Huang. 395-398 [doi]
• Row-wise Accelerator for Vision TransformerHong-Yi Wang, Tian-Sheuan Chang. 399-402 [doi]
• A Real-Time Sparsity-Aware 3D-CNN Processor for Mobile Hand Gesture RecognitionSeungbin Kim, Jueun Jung, Wuyoung Jang, Hoichang Jeong, KyuHo Lee. 403-406 [doi]
• Bin-Specific Quantization in Spectral-Domain Convolutional Neural Network AcceleratorsJinho Park, Jaewon Lee, Gain Kim, Hyeon-Min Bae. 407-410 [doi]
• Efficient Nonlinear Autoregressive Neural Network Architecture for Real-Time Biomedical ApplicationsBrooks Olney, Shakil Mahmud, Robert Karam. 411-414 [doi]
• Real-Time Low Power Audio Distortion Circuit Modeling: a TinyML Deep Learning ApproachDavide Plozza, Marco Giordano, Michele Magno. 415-418 [doi]
• Improving Embedded Target Tracking Systems Based on Siamese Networks with Infrared ImagesShi-Jinn Horng, Yun-Jhu Zeng. 419-422 [doi]
• Hand Gesture Recognition Using IR-UWB Radar with Spiking Neural NetworksWang Shule, Yulong Yan, Haoming Chu, Guangxi Hu, Zhi Zhang, Zhuo Zou, Lirong Zheng 0001. 423-426 [doi]
• Real-time Biosignal Recording and Machine-Learning Analysis SystemHanrui Li, Junzhe Wang, Shiqi Zhao, Fengshi Tian, Jie Yang 0033, Mohamad Sawan. 427-430 [doi]
• An Attention-based Neural Network on Multiple Speaker DiarizationShao Wen Cheng, Kai Jyun Hung, Hsie-Chia Chang, Yen-Chin Liao. 431-434 [doi]
• Disparity Estimation using Light Ray Pair in Stacked 3D Light FieldHyunmin Jung, Hyuk-Jae Lee, Chae-Eun Rhee. 435-438 [doi]
• Adversarially-Trained Tiny Autoencoders for Near-Sensor Continuous Structural Health MonitoringAlessio Burrello, Giacomo Sintoni, Davide Brunelli, Luca Benini. 439-442 [doi]
• A machine learning enhanced approximate message passing massive MIMO acceleratorStefan Brennsteiner, Tughrul Arslan, John S. Thompson, Andrew C. McCormick. 443-446 [doi]
• CIM-based Robust Logic Accelerator using 28 nm STT-MRAM Characterization Chip Tape-outAbhairaj Singh, Mahdi Zahedi, Taha Shahroodi, Mohit Gupta, Anteneh Gebregiorgis, Manu Komalan, Rajiv V. Joshi, Francky Catthoor, Rajendra Bishnoi, Said Hamdioui. 451-454 [doi]
• A 10T SRAM Compute-In-Memory Macro with Analog MAC Operation and Time Domain ConversionHyunchul Park, Kyeongho Lee, Jongsun Park. 455-458 [doi]
• A Process and Data Variations Tolerant Capacitive Coupled 10T1C SRAM for In-Memory Compute (IMC) in Deep Neural Network AcceleratorsBelal Iqbal, Anuj Grover, Harsh Rawat. 459-462 [doi]
• AIWareK: Compiling PyTorch Model for AI Processor Using MLIR FrameworkHyunjeong Kwon, Hyun-Mi Kim, Chun-Gi Lyuh, Jin Kyu Kim, Jinho Han, Youngsu Kwon. 463-465 [doi]
• ArtBrain-K: AI Processor based-on 5-PetaFLOPS AI Server SystemJinho Han, Chun-Gi Lyuh, Kyeongsun Shin, Hyun-Mi Kim, Hyunjeong Kwon, Jaehoon Chung, Yong Cheol Peter Cho, Jinkyu Kim, Jeonghui Suk, Chan Kim, Minseok Choi, Youngsu Kwon. 466-468 [doi]
• Implementing Binarized Neural Network Processor on FPGA-Based PlatformJeahack Lee, Hyeonseong Kim, Byung-Soo Kim, Seokhun Jeon, Jung-Chul Lee, Dong-Sun Kim. 469-471 [doi]
• Implementation of an Quantum Circuit Simulator using Classical BitsYunpyo Hong, Seokhun Jeon, Sihyeong Park, Byung-Soo Kim. 472-474 [doi]
• Weighted Decoupling: An Effective Image Resizing Method for Binarized Neural NetworkSeung-Woo Im, Seokhun Jeon, Byung-Soo Kim, Tea-Ho Hwang. 475-478 [doi]
• AI Accelerator Embedded Computational Storage for Large-Scale DNN ModelsByungmin Ahn, Jaehun Jang, Hanbyeul Na, Mankeun Seo, Hongrak Son, Yong Ho Song. 483-486 [doi]
• CMS: A Computational Memory Solution for High-Performance and Power-Efficient Recommendation SystemMinho Ha, Joonseop Sim, Donguk Moon, Myunghyun Rhee, Jungmin Choi, Byungil Koh, Euicheol Lim, Kyoung Park. 491-494 [doi]
• Al Engine Structures in LG TV ProcessorHyunchul Shin, Sangchul Kim, Jungeun Lim, KwangYeon Rhee, Jeonghyu Yang, Jingyeong Kim. 495-498 [doi]
• A low power neural network training processor with 8-bit floating point with a shared exponent bias and fused multiply add treesJeongwoo Park, SunWoo Lee, Dongsuk Jeon. 499 [doi]
• Spiking Neural Network based Real-time Radar Gesture Recognition Live DemonstrationJiaxin Huang, Pascal Gerhards, Felix Kreutz, Bernhard Vogginger, Florian Kelber, Daniel Scholz, Klaus Knobloch, Christian Georg Mayr. 500 [doi]
• A DNN Training Processor for Robust Object Detection with Real-World Environmental AdaptationDonghyeon Han, Dongseok Im, Gwangtae Park, YoungWoo Kim, Seokchan Song, Juhyoung Lee, Hoi-Jun Yoo. 501 [doi]
• A 181µW Real-Time 3-D Hand-Gesture Recognition System for Edge ApplicationsYuncheng Lu, Zehao Li, Xin Zhang, Tony Tae-Hyoung Kim. 502 [doi]
• Live Demonstration: Home Appliance Control System with Dynamic Hand Gesture Recognition base on 3D Hand SkeletonsTsung-Han Tsai 0001, Yi-Jhen Luo, Wei-Chung Wan. 503 [doi]
• An Edge-Optimized Incremental Learning Algorithm For Audio ClassificationTsung-Han Tsai 0001, Muhammad Awais Hussain, Chun-Lin Lee. 504 [doi]
• Fast DNN-based Mechatronics Prototyping Platform on Robotic Arm ControlYu-Chien Chung, Hao-Hsiang Lian, Yong-Lun Xiao, Chih-Tsun Huang, Jing-Jia Liou. 506 [doi]
• Live Demo: Memory-Efficient Hardware Design for a Real-Time Convolutional Encoder-Decoder NetworkMin-Wu Jeong, Chan-Yong Shin, Chae-Eun Rhee. 507 [doi]
• Live Demonstration: Efficient Deep Learning Algorithm for Alzheimer's Disease Diagnosis using Retinal ImagesDo Young Kim, Young Jun Lim, Joon Hyeon Park, Myung Hoon Sunwoo. 508 [doi]