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ORCID5th AICAS 2023: Hangzhou, China
- 5th IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2023, Hangzhou, China, June 11-13, 2023. IEEE 2023, ISBN 979-8-3503-3267-4
- Shih-Ting Lin, Zhaofang Li, Yu-Hsiang Cheng, Hao-Wen Kuo, Rui-Hsuan Wang, Nai-Jen Sung, Chih-Cheng Lu, Kea-Tiong Tang:
LG-LSQ: Learned Gradient Linear Symmetric Quantization for Low-Precision Integer Hardware. 1-5 - Jiaxin Huang, Florian Kelber, Bernhard Vogginger, Binyi Wu, Felix Kreutz, Pascal Gerhards, Daniel Scholz
, Klaus Knobloch, Christian Georg Mayr:
Efficient Algorithms for Accelerating Spiking Neural Networks on MAC Array of SpiNNaker 2. 1-5 - Li Xiaolin, Fang Xiang, Rajesh C. Panicker, Barry Cardiff, Deepu John:
Classification of ECG based on Hybrid Features using CNNs for Wearable Applications. 1-4 - Ryotaro Ohara, Masaya Kabuto, Masakazu Taichi, Atsushi Fukunaga, Yuto Yasuda, Riku Hamabe, Shintaro Izumi, Hiroshi Kawaguchi:
A 1W8R 20T SRAM Codebook for 20% Energy Reduction in Mixed-Precision Deep-Learning Inference Processor System. 1-5 - Mustafa Matar, Tian Xia, Kimberly Huguenard, Dryver Huston, Safwan Wshah:
Multi-Head Attention based Bi-LSTM for Anomaly Detection in Multivariate Time-Series of WSN. 1-5 - Shuailin Tao, Wang Ling Goh, Yuan Gao:
A Convolved Self-Attention Model for IMU-based Gait Detection and Human Activity Recognition. 1-5 - Liyuan Guo, Matthias Jobst, Johannes Partzsch, Stefan Scholze, Andreas Dixius, Matthias Lohrmann, Seyed Mohammad Ali Zeinolabedin, Christian Mayr:
A Low-Power Hardware Accelerator of MFCC Extraction for Keyword Spotting in 22nm FDSOI. 1-5 - Chunhui Wu, Wenbing Fang, Yi Kang:
HNSG - A SNN Training Method Ultilizing Hidden Network. 1-5 - Abhairaj Singh, Rajendra Bishnoi, Ali Kaichouhi, Sumit Diware, Rajiv V. Joshi, Said Hamdioui:
A 115.1 TOPS/W, 12.1 TOPS/mm2 Computation-in-Memory using Ring-Oscillator based ADC for Edge AI. 1-5 - Haoxiang Zhou, Haiqiao Hong, Dingbang Liu, Hang Liu, Yu Xia, Kai Li, Jun Liu, Shaobo Luo, Wei Mao, Hao Yu:
RISC-V based Fully-Parallel SRAM Computing-in-Memory Accelerator with High Hardware Utilization and Data Reuse Rate. 1-5 - Haochuan Wan, Chaolin Rao, Yueyang Zheng, Pingqiang Zhou, Xin Lou:
A Systolic Array with Activation Stationary Dataflow for Deep Fully-Connected Networks. 1-5 - Thanh-Dat Nguyen, Minh-Son Le, Thi-Nhan Pham, Ik-Joon Chang:
TRIO: a Novel 10T Ternary SRAM Cell for Area-Efficient In-memory Computing of Ternary Neural Networks. 1-5 - Moamen El-Masry, Taher Kourany, Rex Kho, Thilo Werner, Amir Zjajo, Robert Weigel:
Integrated System-on-Module for Design-Space Exploration of Spiking Neural Networks. 1-5 - Honggui Li, Maria Trocan, Mohamad Sawan, Dimitri Galayko:
CSwin2SR: Circular Swin2SR for Compressed Image Super-Resolution. 1-5 - Yu-Hsiang Huang, Pei-Hsuan Kuo, Juinn-Dar Huang:
Hardware-Friendly Activation Function Designs and Its Efficient VLSI Implementations for Transformer-Based Applications. 1-5 - Fa Xu, Zihao Liu, Yanheng Lu, Sicheng Li, Susong Xu, Yibo Fan, Yen-Kuang Chen:
AI-assisted ISP hyperparameter auto tuning. 1-5 - Hongju Kal, Cheolhwan Kim, Minjae Kim, Won Woo Ro:
Context Swap: Multi-PIM System Preventing Remote Memory Access for Large Embedding Model Acceleration. 1-5 - Qinyu Chen, Congyi Sun, Chang Gao, Xinyuan Fang, Haitao Luan:
FrameFire: Enabling Efficient Spiking Neural Network Inference for Video Segmentation. 1-5 - Changyan Chen, Qing Zhang, Shirui Sheng, Huajie Huang, Yuhang Zhang, Yongfu Li:
LungHeart-AtMe: Adventitious Cardiopulmonary Sounds Classification Using MMoE with STFT and MFCCs Spectrograms. 1-5 - Ming-Yueh Ku, Tai-Siang Zhong, Yi-Ting Hsieh, Shuenn-Yuh Lee, Ju-Yi Chen:
A High Performance Accelerating CNN Inference on FPGA with Arrhythmia Classification. 1-4 - Hongwei Shan, Lichen Feng, Yueqi Zhang, Zhangming Zhu:
An Interpretable Pixel Intensity Reconstruction Model for Asynchronous Event Camera. 1-4 - Kwanghyun Koo, Hyun Kim:
PPT-KP: Pruning Point Training-based Kernel Pruning for Deep Convolutional Neural Networks. 1-5 - Fatmah Alantali, Yasmin Halawani, Baker Mohammad, Mahmoud Al-Qutayri:
F-CNN: Faster CNN Exploiting Data Re-Use with Statistical Analysis. 1-4 - Julian Moosmann, Marco Giordano, Christian Vogt, Michele Magno:
TinyissimoYOLO: A Quantized, Low-Memory Footprint, TinyML Object Detection Network for Low Power Microcontrollers. 1-5 - Yannick Braatz, Dennis Sebastian Rieber, Taha Soliman, Oliver Bringmann:
Simulation-driven Latency Estimations for Multi-core Machine Learning Accelerators. 1-5 - Jiahao Chen, Wanbo Hu, Wenling Ma, Zhilin Zhang, Mingqiang Huang:
Group Vectored Absolute-Value-Subtraction Cell Array for the Efficient Acceleration of AdderNet. 1-5 - Seungyong Lee, Geonu Yun, Hyuk-Jae Lee:
In-memory Activation Compression for GPT Training. 1-5 - Runxi Wang, Xinfei Guo:
A Hierarchically Reconfigurable SRAM-Based Compute-in-Memory Macro for Edge Computing. 1-5 - Feng Bao, Zehua Dong, Jie Yu, Songping Mai:
FPGA-Based High-Speed and Resource-Efficient 3D Reconstruction for Structured Light System. 1-5 - Yu-Chi Su, Ching-Te Chiu, Chih-Han Cheng, Kuan-Hsien Liu, Tsung-Chan Lee, Jia-Lin Chen, Jie-Yu Luo, Wei-Chang Chung, Yao-Ren Chang, Kuan-Ying Ho:
CPGAN: Collective Punishment Generative Adversarial Network for Dry Fingerprint Image Enhancement. 1-5 - Yichuan Bai, Zhuang Shao, Chenshuo Zhang, Aojie Jiang, Yuan Du, Li Du:
Live Demonstration: An Efficient Neural Network Processor with Reduced Data Transmission and On-chip Shortcut Mapping. 1-2 - Ziyi Yang, Kehan Liu, Yiru Duan, Mingjia Fan, Qiyue Zhang, Zhou Jin:
Three Challenges in ReRAM-Based Process-In-Memory for Neural Network. 1-5 - Thomas Pontoizeau, Éric Jacopin:
Online low-power large-scale real-time decision-making all at once. 1-5 - Yajie Wu, Tianze Li, Zhuang Shao, Li Du, Yuan Du:
An Efficient Design Framework for 2×2 CNN Accelerator Chiplet Cluster with SerDes Interconnects. 1-5 - Olivia Chen, Zhengang Li, Tomoharu Yamauchi, Yanzhi Wang, Nobuyuki Yoshikawa:
Performance Assessment of an Extremely Energy-Efficient Binary Neural Network Using Adiabatic Superconductor Devices. 1-5 - Jingyu He, Ziyang Shen, Fengshi Tian, Jinbo Chen, Jie Yang, Mohamad Sawan, Hsiang-Ting Chen, Paul Bogdan, Chi-Ying Tsui:
SNNOpt: An Application-Specific Design Framework for Spiking Neural Networks. 1-5 - Bin Liu, Hao Wu, Guoxing Wang:
Live Demonstration: A Smart Ring for Continuous Health Data Monitoring Based on Photoplethysmography. 1-3 - Baichuan Huang, Renato Zanetti, Azra Abtahi, David Atienza, Amir Aminifar:
EpilepsyNet: Interpretable Self-Supervised Seizure Detection for Low-Power Wearable Systems. 1-5 - Ibrahim Abe M. Elfadel:
Convergent Waveform Relaxation Schemes for the Transient Analysis of Associative ReLU Arrays. 1-5 - Qibang Zang, Wang Ling Goh, Yi Sheng Chong, Anh Tuan Do:
4b/4b/8b Precision Charge-Domain 8T-SRAM Based CiM for CNN Processing. 1-5 - Xiaoyu Feng, Wenyu Sun, Shupei Fan, Chen Tang, Yixiong Yang, Jinshan Yue, Qingmin Liao, Huazhong Yang, Yongpan Liu:
A Demonstration Platform for Large-Scaled Point Cloud Network Based on 28nm 2D/3D Unified Sparse Convolution Accelerator. 1-2 - Amélie Gruel, Alfio Di Mauro, Robin Hunziker, Luca Benini, Jean Martinet, Michele Magno:
Embedded neuromorphic attention model leveraging a novel low-power heterogeneous platform. 1-5 - Dinesh Kushwaha, Rajat Kohli, Jwalant Mishra, Rajiv V. Joshi, Sudeb Dasgupta, Anand Bulusu:
A Fully Differential 4-Bit Analog Compute-In-Memory Architecture for Inference Application. 1-5 - Yi Hsin Liao, Hsin-Han Chen, Kea-Tiong Tang, Shu You Lin, Ding Xiao Wu, Yu-Chiao Chen, Hong Wen Luo:
An Energy-Efficient and Reconfigurable CNN Accelerator Applied To Lung Cancer Detection. 1-3 - Huiqing Xu, Kuang Mao, Quihong Pan, Zhaorong Tang, Mengdi Wang, Ying Wang:
Deep Learning Compiler Optimization on Multi-Chiplet Architecture. 1-5 - Gilha Lee, Nam Joon Kim, Hyun Kim:
GPIL: Gradient with PseudoInverse Learning for High Accuracy Fine-Tuning. 1-5 - Mark Arnold:
Machine Learning using Logarithmic Arithmetic with Preconditioned Input to Mitchell's Method. 1-5 - Haiyan Qin, Yejun Zeng, Jinyu Bai, Wang Kang:
Searching Tiny Neural Networks for Deployment on Embedded FPGA. 1-5 - Yuhang Gu, Wei Zhang, Yi Shi, Limin Jiang, Shan Li, Shan Cao, Zhiyuan Jiang, Ruiqing Mao, Zhewen Lou, Sheng Zhou:
Live Demonstration: An Integrated Computing and Communication Platform for Vehicle-Infrastructure Cooperative Autonomous Driving. 1-2 - Anjunyi Fan, Bo Hu, Zhonghua Jin, Haiyue Han, Yaojun Zhang, Yue Yang, Yuchao Yang, Bonan Yan, Ru Huang:
Live Demonstration: SRAM Compute-In-Memory Based Visual & Aural Recognition System. 1-2 - Thomas Dalgaty, Maria Lepecq:
SLIM-Net: Rethinking how neural networks use systolic arrays. 1-5 - Mengchuan Dong, Wei Zhou, Cong Pang, Xiangyu Zhang, Xin Lou:
Image Frequency Separation Residual Network for End-to-end RAW to RGB Mapping. 1-5 - Simone D'Agostino, Filippo Moro, Tifenn Hirtzlin, Julien Arcamone, Niccolo Castellani, Damien Querlioz, Melika Payvand, Elisa Vianello:
Synaptic metaplasticity with multi-level memristive devices. 1-5 - Ashwin Bhat, Arijit Raychowdhury:
Reducing Overhead of Feature Importance Visualization via Static GradCAM Computation. 1-5 - Mohammad Amin Yaldagard, Sumit Diware, Rajiv V. Joshi, Said Hamdioui, Rajendra Bishnoi:
Read-disturb Detection Methodology for RRAM-based Computation-in-Memory Architecture. 1-5 - Shamma Nasrin, Maeesha Binte Hashem, Nastaran Darabi, Benjamin Parpillon, Farah Fahim, Wilfred Gomes, Amit Ranjan Trivedi:
Memory-Immersed Collaborative Digitization for Area-Efficient Compute-in-Memory Deep Learning. 1-5 - Fengshi Tian, Xiaomeng Wang, Jinbo Chen, Jie Yang, Mohamad Sawan, Chi-Ying Tsui, Kwang-Ting (Tim) Cheng:
Binary is All You Need: Ultra-Efficient Arrhythmia Detection with a Binary-Only Compressive System. 1-5 - Jin Young Shin, Sang Ho Lee, Kwang Hyun Go, Soohee Kim, Seung Eun Lee:
AI Processor based Data Correction for Enhancing Accuracy of Ultrasonic Sensor. 1-4 - Guosheng Yu, Zhihong Lv, Haijiang Wang, Zilong Huang, Jicheng Chen:
Task-aware Scheduling and Performance Optimization on Yitian710 SoC for GEMM-based Workloads on the Cloud. 1-5 - Pengfei Qi, Yuanjin Zheng:
Image Recovery Through Scattering Media via GAN Reconstruction and SNES Optimization. 1-5 - Xinran Wu, Xiang Chen, Kun Yue:
Efficient Parameter Learning of Bayesian Network with Latent Variables from High-Dimensional Data. 1-5 - Yuandong Li, Li Du, Yuan Du:
A Column-Parallel Time-Interleaved SAR/SS ADC for Computing in Memory with 2-8bit Reconfigurable Resolution. 1-5 - Yue Zhang, Shuai Wang, Yi Kang:
MF-DSNN:An Energy-efficient High-performance Multiplication-free Deep Spiking Neural Network Accelerator. 1-4 - Yuansheng Zhao, Zixuan Shen, Jiarui Xu, Kevin C. T. Chai, Yanqing Wu, Chao Wang:
A Novel Transpose 2T-DRAM based Computing-in-Memory Architecture for On-chip DNN Training and Inference. 1-4 - Zhengyu Li, Heng Guo, Lap-Pui Chau, Cheen-Hau Tan, Xiaoxi Ma, Dan Lin, Kim-Hui Yap:
Object-Augmented Skeleton-Based Action Recognition. 1-4 - Wenyang Liu, Yi Wang, Kejun Wu, Kim-Hui Yap, Lap-Pui Chau:
A Byte Sequence is Worth an Image: CNN for File Fragment Classification Using Bit Shift and n-Gram Embeddings. 1-5 - Gengcheng Lyu, Meng Li:
Multi-agent Cooperative Control in Neural MMO Environment Based on MAPPO Algorithm. 1-4 - Deruo Cheng, Yiqiong Shi, Yee-Yang Tee, Jingsi Song, Xue Wang, Bihan Wen, Bah-Hwee Gwee:
Deep-learning-based X-ray CT Slice Analysis for Layout Verification in Printed Circuit Boards. 1-5 - Qinxin Zhou, Yang Zhao, Wenkai Zhang:
An Integrated CPU-GPU Frequency Scaling Governor Based on Deep Recurrent Q-Network for Partially Observable Rendering Applications. 1-5 - Ziyang Shen, Chaoming Fang, Fengshi Tian, Jie Yang, Mohamad Sawan:
PN-TMS: Pruned Node-fusion Tree-based Multicast Scheme for Efficient Neuromorphic Systems. 1-5 - Nealson Li, Ashwin Bhat, Arijit Raychowdhury:
E-Track: Eye Tracking with Event Camera for Extended Reality (XR) Applications. 1-5 - Kasem Khalil, Ashok Kumar, Magdy A. Bayoumi:
Low-Power Convolutional Neural Network Accelerator on FPGA. 1-5 - Yaotian Liu, Yuhang Zhang, Qing Zhang, Rui Chen, Yongfu Li:
FEEP: Functional ECO Synthesis with Efficient Patch Minimization. 1-5 - Zhou Wang, Jingchuan Wei, Xiaonan Tang, Boxiao Han, Hongjun He, Leibo Liu, Shaojun Wei, Shouyi Yin:
TPE: A High-Performance Edge-Device Inference with Multi-level Transformational Mechanism. 1-5 - Thomas Rüegg, Marco Giordano, Michele Magno:
KP2Dtiny: Quantized Neural Keypoint Detection and Description on the Edge. 1-5 - Meriem Bettayeb, Eman Hassan, Baker Mohammad, Hani H. Saleh:
SpatialHD: Spatial Transformer Fused with Hyperdimensional Computing for AI Applications. 1-5 - Diego Garcia, Javier Granizo, Luis Hernández:
Validation of a CMOS SNN network based on a time-domain threshold neuron circuit achieving 114.90 pJ/inference on MNIST. 1-5 - Xinzi Xu, Qiao Cai, Hongqian Wang, Yanxing Suo, Yang Zhao, Tianwei Wan, Guoxing Wang, Yong Lian:
A 12-Lead ECG Delineation Algorithm based on a Quantized CNN-BiLSTM Auto-encoder with 1-12 Mapping. 1-5 - Jiahao Liu, Xiao Liu, Liang Zhou, Liang Chang, Jun Zhou:
A Lightweight Convolutional Neural Network for Atrial Fibrillation Detection Using Dual-Channel Binary Features from Single-Lead Short ECG. 1-5 - Wei Zhang, Junfeng Chang, Zizhao Peng, Lei Chen, Fengwei An:
Live Demonstration: Supervised-learning-based Visual Quantification for Image Enhancement. 1-2 - Wei-Jyun Chen, Ching-Te Chiu, Ting-Chun Lin:
Landmark-Based Adversarial Network for RGB-D Pose Invariant Face Recognition. 1-5 - Siqi He, Hongyi Zhang, Mengjie Li, Haozhe Zhu, Chixiao Chen, Qi Liu, Xiaoyang Zeng:
Bit-Offsetter: A Bit-serial DNN Accelerator with Weight-offset MAC for Bit-wise Sparsity Exploitation. 1-5 - Rupesh Raj Karn, Kashif Nawaz, Ibrahim Abe M. Elfadel:
Securing Decision Tree Inference Using Order-Preserving Cryptography. 1-5 - Guang Shi, Yirong Kan, Renyuan Zhang:
Computer-Aided-Prediction of Body Constitution with Efficient Cock-Tail Learning. 1-5 - Xiaofeng Chen, Ruiqi Guo, Zhiheng Yue, Yang Hu, Leibo Liu, Shaojun Wei, Shouyi Yin:
A Systolic Computing-in-Memory Array based Accelerator with Predictive Early Activation for Spatiotemporal Convolutions. 1-5 - Sumit Diware, Anteneh Gebregiorgis, Rajiv V. Joshi, Said Hamdioui, Rajendra Bishnoi:
Mapping-aware Biased Training for Accurate Memristor-based Neural Networks. 1-5 - Arianna Rubino, Matteo Cartiglia, Melika Payvand, Giacomo Indiveri:
Neuromorphic analog circuits for robust on-chip always-on learning in spiking neural networks. 1-5 - Xiaochen Tang, Shanshan Liu, Farzad Niknia, Wei Tang, Pedro Reviriego, Fabrizio Lombardi:
Integrating Delta Modulation and Stochastic Computing for Real-time Machine Learning based Heartbeats Monitoring in Wearable Systems. 1-5 - Thomas Ortner, Lorenzo Pes, Joris Gentinetta, Charlotte Frenkel, Angeliki Pantazi:
Online Spatio-Temporal Learning with Target Projection. 1-5 - Victor J. B. Jung, Arne Symons, Linyan Mei, Marian Verhelst, Luca Benini:
SALSA: Simulated Annealing based Loop-Ordering Scheduler for DNN Accelerators. 1-5 - Tiancheng Cao, Zhongyi Zhang, Wang Ling Goh, Chen Liu, Yao Zhu, Yuan Gao:
A Ternary Weight Mapping and Charge-mode Readout Scheme for Energy Efficient FeRAM Crossbar Compute-in-Memory System. 1-5 - Sheng Zhou, Xi Chen, Kwantae Kim, Shih-Chii Liu:
High-Accuracy and Energy-Efficient Acoustic Inference using Hardware-Aware Training and a 0.34nW/Ch Full-Wave Rectifier. 1-5 - Linyu Zhu, Yue Gu, Xinfei Guo:
RC-GNN: Fast and Accurate Signoff Wire Delay Estimation with Customized Graph Neural Networks. 1-5 - Wenling Ma, Lianzheng Li, Ziye Li, Guangchao Zhao, Xiaojing Long, Mingqiang Huang:
RRAM-Based Precision-Scaleable Computing-In-Memory Scheme and Its Error Correction Approach. 1-5 - Tim Hotfilter, Julian Höfer, Fabian Kreß, Fabian Kempf, Leonhard Kraft, Tanja Harbaum, Jürgen Becker:
A Hardware-Centric Approach to Increase and Prune Regular Activation Sparsity in CNNs. 1-5 - Mohammad Hasan Ahmadilivani, Mahdi Taheri, Jaan Raik, Masoud Daneshtalab, Maksim Jenihhin:
Enhancing Fault Resilience of QNNs by Selective Neuron Splitting. 1-5 - Dionysios Filippas, Christodoulos Peltekis, Giorgos Dimitrakopoulos, Chrysostomos Nicopoulos:
Reduced-Precision Floating-Point Arithmetic in Systolic Arrays with Skewed Pipelines. 1-5 - Hanrui Li, Aijaz H. Lone, Fengshi Tian, Jie Yang, Mohamad Sawan, Nazek El-Atab:
Novel Knowledge Distillation to Improve Training Accuracy of Spin-based SNN. 1-5 - Jinhai Hu, Cong Sheng Leow, Wang Ling Goh, Yuan Gao:
Energy Efficient Software-hardware Co-design of Quantized Recurrent Convolutional Neural Network for Continuous Cardiac Monitoring. 1-5 - Ioannis Kouretas, Vassilis Paliouras, Thanos Stouraitis:
Modified Logarithmic Multiplication Approximation for Machine Learning. 1-5 - Georg Rutishauser, Francesco Conti, Luca Benini:
Free Bits: Latency Optimization of Mixed-Precision Quantized Neural Networks on the Edge. 1-5 - Jianfeng Wang, Zhonghao Chen, Yiming Chen, Yixin Xu, Tianyi Wang, Yao Yu, Vijaykrishnan Narayanan, Sumitha George, Huazhong Yang, Xueqing Li:
WeightLock: A Mixed-Grained Weight Encryption Approach Using Local Decrypting Units for Ciphertext Computing in DNN Accelerators. 1-5 - Gi-Soo Kim, Young Suh Hong, Tae Hoon Lee, Myunghee Cho Paik, Hongsoo Kim:
Bandit-supported care planning for older people with complex health and care needs. 1-5 - Pei-Hsuan Kuo, Yu-Hsiang Huang, Juinn-Dar Huang:
Configurable Multi-Precision Floating-Point Multiplier Architecture Design for Computation in Deep Learning. 1-5 - Yi Zhong, Zilin Wang, Xiaoxin Cui, Jian Cao, Yuan Wang:
Unsupervised Learning of Spike-Timing-Dependent Plasticity Based on a Neuromorphic Implementation. 1-5 - Xia Han, Frédéric Amiel, Xun Zhang, Kunni Wei, Cong Yan, Wenjun Hu, Zefeng Wang:
Efficiency Comparison of Machine Learning Algorithms for EEG Interpretation. 1-5 - Zhengqing Zhong, Tengxiao Wang, Haibing Wang, Zhihua Zhou, Junxian He, Fang Tang, Xichuan Zhou, Shuangming Yu, Liyuan Liu, Nanjian Wu, Min Tian, Cong Shi:
Live Demonstration: Face Recognition at The Edge Using Fast On-Chip Deep Learning Neuromorphic Chip. 1-2 - Junzhe Wang, Shiqi Zhao, Chaoming Fang, Jie Yang, Mohamad Sawan:
Live Demonstration: Real-time Analyses of Biosignals based on a Dedicated CMOS Configurable Deep Learning Engine. 1-2 - Minyong Yoon, Jungwook Choi:
Architecture-Aware Optimization of Layer Fusion for Latency-Optimal CNN Inference. 1-4 - Wantong Li, Junmo Lee, Shimeng Yu:
Optimization Strategies for Digital Compute-in-Memory from Comparative Analysis with Systolic Array. 1-5 - Jianing Li, Jiabin Liu, Xingyuan Hu, Yuhang Zhang, Guosheng Yu, Shimeng Qian, Wei Mao, Li Du, Yongfu Li, Yuan Du:
Grand Challenge on Software and Hardware Co-Optimization for E-Commerce Recommendation System. 1-5 - Udari De Alwis, Zhongheng Xie, Massimo Alioto:
Temporal Similarity-Based Computation Reduction for Video Transformers in Edge Camera Nodes. 1-5 - Yanghan Zheng, Zhaofang Li, Kaihang Sun, Kuan-Pei Lee, Kea-Tiong Tang:
A 40nm area-efficient Effective-bit-combination-based DNN accelerator with the reconfigurable multiplier. 1-5 - Harshil Patel, Anup Vanarse, Kristofor D. Carlson, Adam Osseiran:
Bringing Touch to the Edge: A Neuromorphic Processing Approach For Event-Based Tactile Systems. 1-5 - Anupam Golder, Arijit Raychowdhury:
PCB Identification Based on Machine Learning Utilizing Power Consumption Variability. 1-4 - Tong Shan, Jun Li, Xiao Hou, Peijin Huang, Xiaojun Guo:
Live Demonstration: Efficient Organic Photodetector based Active Matrix Imager for Real-time Optical Character Recognition. 1-2 - Ivan Diez-de-los-Rios, John Wesley Ephraim, Gemma Palazzolo, Teresa Serrano-Gotarredona, Gabriella Panuccio, Bernabé Linares-Barranco:
A Memristor-Inspired Computation for Epileptiform Signals in Spheroids. 1-5 - Jinbo Chen, Hui Wu, Xing Liu, Razieh Eskandari, Fengshi Tian, Wenjun Zou, Chaoming Fang, Jie Yang, Mohamad Sawan:
NeuroBMI: A New Neuromorphic Implantable Wireless Brain Machine Interface with A 0.48 µW Event-Driven Noise-Tolerant Spike Detector. 1-5 - Yiming Ai, Bipin Rajendran:
A Convolutional Spiking Network for Gesture Recognition in Brain-Computer Interfaces. 1-5
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last updated on 2024-12-11 20:32 CET by the dblp team
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