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Publication search results
found 120 matches
- 2023
- Mohammad Hasan Ahmadilivani, Mahdi Taheri, Jaan Raik, Masoud Daneshtalab, Maksim Jenihhin:
Enhancing Fault Resilience of QNNs by Selective Neuron Splitting. AICAS 2023: 1-5 - Yiming Ai, Bipin Rajendran:
A Convolutional Spiking Network for Gesture Recognition in Brain-Computer Interfaces. AICAS 2023: 1-5 - Fatmah Alantali, Yasmin Halawani, Baker Mohammad, Mahmoud Al-Qutayri:
F-CNN: Faster CNN Exploiting Data Re-Use with Statistical Analysis. AICAS 2023: 1-4 - Udari De Alwis, Zhongheng Xie, Massimo Alioto:
Temporal Similarity-Based Computation Reduction for Video Transformers in Edge Camera Nodes. AICAS 2023: 1-5 - Mark Arnold:
Machine Learning using Logarithmic Arithmetic with Preconditioned Input to Mitchell's Method. AICAS 2023: 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. AICAS 2023: 1-2 - Feng Bao, Zehua Dong, Jie Yu, Songping Mai:
FPGA-Based High-Speed and Resource-Efficient 3D Reconstruction for Structured Light System. AICAS 2023: 1-5 - Meriem Bettayeb, Eman Hassan, Baker Mohammad, Hani H. Saleh:
SpatialHD: Spatial Transformer Fused with Hyperdimensional Computing for AI Applications. AICAS 2023: 1-5 - Ashwin Bhat, Arijit Raychowdhury:
Reducing Overhead of Feature Importance Visualization via Static GradCAM Computation. AICAS 2023: 1-5 - Yannick Braatz, Dennis Sebastian Rieber, Taha Soliman, Oliver Bringmann:
Simulation-driven Latency Estimations for Multi-core Machine Learning Accelerators. AICAS 2023: 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. AICAS 2023: 1-5 - Wei-Jyun Chen, Ching-Te Chiu, Ting-Chun Lin:
Landmark-Based Adversarial Network for RGB-D Pose Invariant Face Recognition. AICAS 2023: 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. AICAS 2023: 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. AICAS 2023: 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. AICAS 2023: 1-5 - Qinyu Chen, Congyi Sun, Chang Gao, Xinyuan Fang, Haitao Luan:
FrameFire: Enabling Efficient Spiking Neural Network Inference for Video Segmentation. AICAS 2023: 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. AICAS 2023: 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. AICAS 2023: 1-5 - 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. AICAS 2023: 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. AICAS 2023: 1-5 - Thomas Dalgaty, Maria Lepecq:
SLIM-Net: Rethinking how neural networks use systolic arrays. AICAS 2023: 1-5 - 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. AICAS 2023: 1-5 - Sumit Diware, Anteneh Gebregiorgis, Rajiv V. Joshi, Said Hamdioui, Rajendra Bishnoi:
Mapping-aware Biased Training for Accurate Memristor-based Neural Networks. AICAS 2023: 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. AICAS 2023: 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. AICAS 2023: 1-5 - Ibrahim Abe M. Elfadel:
Convergent Waveform Relaxation Schemes for the Transient Analysis of Associative ReLU Arrays. AICAS 2023: 1-5 - 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. AICAS 2023: 1-2 - 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. AICAS 2023: 1-2 - Dionysios Filippas, Christodoulos Peltekis, Giorgos Dimitrakopoulos, Chrysostomos Nicopoulos:
Reduced-Precision Floating-Point Arithmetic in Systolic Arrays with Skewed Pipelines. AICAS 2023: 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. AICAS 2023: 1-5
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