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3rd AICAS 2021: Washington, DC, USA
- 3rd IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2021, Washington, DC, USA, June 6-9, 2021. IEEE 2021, ISBN 978-1-6654-1913-0
- Tian Gao, Zishen Wan, Yuyang Zhang, Bo Yu, Yanjun Zhang, Shaoshan Liu, Arijit Raychowdhury:
iELAS: An ELAS-Based Energy-Efficient Accelerator for Real-Time Stereo Matching on FPGA Platform. 1-4 - A. R. Aswani, Rohan Kumar, Jai Narayan Tripathi
, Alex James
Performance of Crossbar based Long Short Term Memory with Aging Memristors. 1-4 - Nik Dennler
Online Detection of Vibration Anomalies Using Balanced Spiking Neural Networks. 1-4 - Christian Gianoglio, Edoardo Ragusa, Rodolfo Zunino, Paolo Gastaldo:
Efficient Digital Implementation of n-mode Tensor-Matrix Multiplication. 1-4 - Gianmarco Ottavi, Geethan Karunaratne, Francesco Conti, Irem Boybat, Luca Benini, Davide Rossi:
End-to-end 100-TOPS/W Inference With Analog In-Memory Computing: Are We There Yet? 1-4 - Yang Wang, Yubin Qin, Leibo Liu, Shaojun Wei, Shouyi Yin:
HPPU: An Energy-Efficient Sparse DNN Training Processor with Hybrid Weight Pruning. 1-4 - Junhan Zhu, Xiaoliang Chen, Li Du, Haoran Geng, Yichuan Bai, Yuandong Li, Yuan Du, Zhongfeng Wang:
Flexible-width Bit-level Compressor for Convolutional Neural Network. 1-4 - Abdul Rehman Aslam, Nauman Hafeez
An 8.62 μ W Processor for Autism Spectrum Disorder Classification using Shallow Neural Network. 1-4 - Yang Wang, Dazheng Deng, Leibo Liu, Shaojun Wei, Shouyi Yin:
LPE: Logarithm Posit Processing Element for Energy-Efficient Edge-Device Training. 1-4 - Jiawei Xu, Deyu Wang
A Memristor Model with Concise Window Function for Spiking Brain-Inspired Computation. 1-4 - Soufiane Mourrane, Benoit Larras, Andreia Cathelin, Antoine Frappé
Event-Driven Continuous-Time Feature Extraction for Ultra Low-Power Audio Keyword Spotting. 1-4 - Yu-Cheng Chou, Hsin-Hung Chen, Chau-Chang Wang, Hui-Min Chou, Chua-Chin Wang:
An AI AUV Enabling Vision-based Diver-following and Obstacle Avoidance with 3D-modeling Dataset. 1-4 - Indranil Chakraborty, Sourjya Roy, Shrihari Sridharan, Mustafa Fayez Ali, Aayush Ankit, Shubham Jain, Anand Raghunathan:
Design Tools for Resistive Crossbar based Machine Learning Accelerators. 1-4 - Juhyoung Lee, Changhyeon Kim, Donghyeon Han, Sangyeob Kim, Sangjin Kim, Hoi-Jun Yoo:
Energy-Efficient Deep Reinforcement Learning Accelerator Designs for Mobile Autonomous Systems. 1-4 - Yuncheng Lu, Zehao Li, Tony Tae-Hyoung Kim:
An Ultra-Low-power Real-Time Hand-Gesture Recognition System for Edge Applications. 1 - Nathan Eli Miller
Characterization of Drain Current Variations in FeFETs for PIM-based DNN Accelerators. 1-4 - Sitao Zeng, Yuxin Zhang, Zhiguo Zhu, Zhaolong Qin, Chunmeng Dou, Xin Si, Qiang Li:
MLFlash-CIM: Embedded Multi-Level NOR-Flash Cell based Computing in Memory Architecture for Edge AI Devices. 1-4 - Kaizhong Qiu, Zhenhua Zhu, Yi Cai, Hanbo Sun, Yu Wang, Huanzhong Yang:
MNSIM-TIME: Performance Modeling Framework for Training-In-Memory Architectures. 1-4 - Sumit Diware, Anteneh Gebregiorgis, Rajiv V. Joshi, Said Hamdioui, Rajendra Bishnoi:
Unbalanced Bit-slicing Scheme for Accurate Memristor-based Neural Network Architecture. 1-4 - Hyunmyung Oh, Hyungjun Kim, Nameun Kang, Yulhwa Kim
Single RRAM Cell-based In-Memory Accelerator Architecture for Binary Neural Networks. 1-4 - Chen Ding, Yuxiang Huan, Hao Jia, Yulong Yan, Fanxi Yang, Zhuo Zou, Li-Rong Zheng:
An Ultra-Low Latency Multicast Router for Large-Scale Multi-Chip Neuromorphic Processing. 1-4 - Hsin-Yu Wu, Wei-Tse Kao, Harrison Hao-Yu Ku, Cheng-Te Wang, Chih-Cheng Hsieh, Ren-Shuo Liu, Kea-Tiong Tang, Chung-Chuan Lo:
A Bio-Inspired Motion Detection Circuit Model for the Computation of Optical Flow: The Spatial-Temporal Filtering Reichardt Model. 1-4 - Kengo Nakata, Daisuke Miyashita, Asuka Maki, Fumihiko Tachibana, Shinichi Sasaki, Jun Deguchi, Ryuichi Fujimoto:
Quantization Strategy for Pareto-optimally Low-cost and Accurate CNN. 1-4 - Hamoud Younes, Ali Ibrahim, Mostafa Rizk
Efficient FPGA Implementation of Approximate Singular Value Decomposition based on Shallow Neural Networks. 1-4 - Taha Soliman, Cecilia De la Parra, Andre Guntoro
Adaptable Approximation Based on Bit Decomposition for Deep Neural Network Accelerators. 1-4 - Cheng-Di Tsai, Ting-Yu Chen, Hsiao-Wen Fu, Tsung-Chu Huang:
TCBNN: Error-Correctable Ternary-Coded Binarized Neural Network. 1-4 - Yulong Yan, Haoming Chu, Xin Chen, Yi Jin, Yuxiang Huan, Lirong Zheng, Zhuo Zou:
Graph-Based Spatio-Temporal Backpropagation for Training Spiking Neural Networks. 1-4 - Hao Wang, Shan Cao, Shugong Xu:
A Real-Time Face Recognition System by Efficient Hardware-Software Co-Design on FPGA SoCs. 1-2 - Udari De Alwis, Massimo Alioto:
TempDiff: Temporal Difference-Based Feature Map-Level Sparsity Induction in CNNs with <4% Memory Overhead. 1-4 - Basar Kütükçü
Contention-aware Adaptive Model Selection for Machine Vision in Embedded Systems. 1-4 - Hyunsung Kim, Jaehee Kim
Energy-Efficient Intelligent EPTS Device using Novel DCNN-Based Dynamic Sensor Activation. 1 - Geethan Karunaratne, Abbas Rahimi
Real-time Language Recognition using Hyperdimensional Computing on Phase-change Memory Array. 1 - Chi-Wen Weng, Chao-Tsung Huang:
A Quality-Oriented Reconfigurable Convolution Engine Using Cross-Shaped Sparse Kernels for Highly-Parallel CNN Acceleration. 1-4 - Md Shazzad Hossain
Energy Efficient Computing with Heterogeneous DNN Accelerators. 1-4 - Liang Zhao, Shifan Gao, Shengbo Zhang, Xiang Qiu, Fan Yang, Jie Li, Zezhi Chen, Yi Zhao:
Neural Network Acceleration and Voice Recognition with a Flash-based In-Memory Computing SoC. 1-5 - Sina Shahhosseini, Anil Kanduri, Milad Asgari Mehrabadi, Emad Kasaeyan Naeini, Dongjoo Seo
Towards Smart and Efficient Health Monitoring Using Edge-enabled Situational-awareness. 1-4 - Pin-Chieh Fu, Chia-Cheng Yen, Nien-Chen Yang, Jia-Shung Wang:
Two-phase Scheme for Trimming QTMT CU Partition using Multi-branch Convolutional Neural Networks. 1-6 - Anni Lu, Xiaochen Peng, Shimeng Yu
Compute-in-RRAM with Limited On-chip Resources. 1-4 - Zishen Wan, Yuyang Zhang, Arijit Raychowdhury, Bo Yu, Yanjun Zhang, Shaoshan Liu:
An Energy-Efficient Quad-Camera Visual System for Autonomous Machines on FPGA Platform. 1-4 - Alessandro Russo, Gian Domenico Licciardo
Quantized Fully Convolution Neural Network for HW Implementation of Human Posture Recognition. 1-4 - Han Wang, Soheil Salehi
Evaluation of Machine Learning-based Detection against Side-Channel Attacks on Autonomous Vehicle. 1-4 - Marco Fariselli, Manuele Rusci, Joel Cambonie, Eric Flamand:
Integer-Only Approximated MFCC for Ultra-Low Power Audio NN Processing on Multi-Core MCUs. 1-4 - Ying-Cheng Lu, Ching-Wen Chen, Ching-Chun Pu, Yang-Tung Lin, Jyun-Kai Jhan, Shu-Ping Liang, Wei-Lun Tseng
An 176.3 GOPs Object Detection CNN Accelerator Emulated in a 28nm CMOS Technology. 1-4 - Arne Symons
LOMA: Fast Auto-Scheduling on DNN Accelerators through Loop-Order-based Memory Allocation. 1-4 - Malte J. Rasch, Diego Moreda, Tayfun Gokmen, Manuel Le Gallo, Fabio Carta, Cindy Goldberg, Kaoutar El Maghraoui
A Flexible and Fast PyTorch Toolkit for Simulating Training and Inference on Analog Crossbar Arrays. 1-4 - Ying-Cheng Lu, Ching-Wen Chen, Ching-Chun Pu, Yang-Tung Lin, Jyun-Kai Jhan, Shu-Ping Liang, Wei-Lun Tseng, Chi-Shi Chen, Chao-Yang Yu, Hsiu-Wen Wang, Hong-Han Shuai, Herming Chiueh:
Live Demo: An 176.3 GOPs Object Detection CNN Accelerator Emulated in a 28nm CMOS Technology. 1 - Brian Crafton, Andrew Paredes, Evan Gebhardt, Arijit Raychowdhury:
Hardware-Algorithm Co-Design Enabling Efficient Event-based Object Detection. 1-4 - Anni Lu, Xiaochen Peng, Wantong Li
NeuroSim Validation with 40nm RRAM Compute-in-Memory Macro. 1-4 - Jinhai Hu
Dynamically-biased Fixed-point LSTM for Time Series Processing in AIoT Edge Device. 1-4 - Hasib-Al Rashid, Arnab Neelim Mazumder, Utteja Panchakshara Kallakuri Niyogi, Tinoosh Mohsenin:
CoughNet: A Flexible Low Power CNN-LSTM Processor for Cough Sound Detection. 1-4 - Tianqi Su, Meiqi Wang, Zhongfeng Wang:
Federated Regularization Learning: an Accurate and Safe Method for Federated Learning. 1-4 - Wei-Chen Lin, Ya-Chu Chang, Juinn-Dar Huang
An Efficient and Low-Power MLP Accelerator Architecture Supporting Structured Pruning, Sparse Activations and Asymmetric Quantization for Edge Computing. 1-5 - Thorir Mar Ingolfsson, Xiaying Wang
ECG-TCN: Wearable Cardiac Arrhythmia Detection with a Temporal Convolutional Network. 1-4 - Xiao Hu, Ming-Ching Chang, Yuwei Chen, Rahul Sridhar, Zhenyu Hu
The 2020 Low-Power Computer Vision Challenge. 1-4 - Sreenitha Kasarapu, Rakibul Hassan, Setareh Rafatirad, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao:
Demography-aware COVID-19 Confinement with Game Theory. 1-4 - Cheng-Yen Hsieh, Yu-Chuan Chuang, An-Yeu Andy Wu:
FL-HDC: Hyperdimensional Computing Design for the Application of Federated Learning. 1-5 - Tae-Ho Lee, Shin-Woo Kang, Taehyun Kim, Jin-Sung Kim, Hyuk-Jae Lee:
Smart Refrigerator Inventory Management Using Convolutional Neural Networks. 1-4 - Vivek Parmar
MRAM-based BER resilient Quantized edge-AI Networks for Harsh Industrial Conditions. 1-4 - Wenxuan Chen, Zheng Wang, Ming Lei, Bo Dong, Zhuo Wang, Yongkui Yang, Chao Chen, Weiyu Guo, Chen Liang, Qian Zhang, Wenqi Fang, Zhibin Yu:
Improving system latency of AI accelerator with on-chip pipelined activation preprocessing and multi-mode batch inference. 1-4 - Wilfred Kisku
On-chip Pixel Reconstruction using Simple CNN for Sparsely Read CMOS Image Sensor. 1-5 - Kai Li, Wei Mao, Xinang Xie, Quan Cheng, Huan Xie, Zhenjiang Dong, Hao Yu:
Multiple-Precision Floating-Point Dot Product Unit for Efficient Convolution Computation. 1-4 - Shiva Maleki Varnosfaderani, Rihat Rahman, Nabil J. Sarhan
A Two-Layer LSTM Deep Learning Model for Epileptic Seizure Prediction. 1-4 - Yang-Tsai Chen, Yu-Xiang Yen, Chun-Tse Chen, Tzu-Yu Chen, Chih-Tsun Huang, Jing-Jia Liou, Juin-Ming Lu:
Tile-Based Architecture Exploration for Convolutional Accelerators in Deep Neural Networks. 1-4 - Muhammad Awais Hussain, Tsung-Han Tsai:
An Efficient and Fast Softmax Hardware Architecture (EFSHA) for Deep Neural Networks. 1-4 - Cong Shi, Jing Lu, Ying Wang, Ping Li, Min Tian:
Exploiting Memristors for Neuromorphic Reinforcement Learning. 1-4 - Zhen Gao, Han Zhang, Xiaohui Wei, Jiajun Xiao, Shulin Zeng, Guangjun Ge, Yu Wang, Pedro Reviriego:
Ensemble of Pruned Networks for Reliable Classifiers. 1-4 - Aidin Shiri, Bharat Prakash, Arnab Neelim Mazumder, Nicholas R. Waytowich, Tim Oates, Tinoosh Mohsenin:
An Energy-Efficient Hardware Accelerator for Hierarchical Deep Reinforcement Learning. 1-4 - Guillaume Hocquet, Olivier Bichler, Damien Querlioz:
Memory Efficient Invertible Neural Networks for Class-Incremental Learning. 1-4 - Vlad Niculescu, Lorenzo Lamberti
Automated Tuning of End-to-end Neural Flight Controllers for Autonomous Nano-drones. 1-4 - Vikram Jain
Analyzing the Energy-Latency-Area-Accuracy Trade-off Across Contemporary Neural Networks. 1-4 - Xi Chen, Chang Gao, Tobi Delbrück, Shih-Chii Liu
EILE: Efficient Incremental Learning on the Edge. 1-4 - Farnaz Forooghifar, Amin Aminifar, Tomás Teijeiro, Amir Aminifar, Jesper Jeppesen, Sándor Beniczky, David Atienza:
Self-Aware Anomaly-Detection for Epilepsy Monitoring on Low-Power Wearable Electrocardiographic Devices. 1-4 - Sherif Eissa, Sander Stuijk
Hardware Approximation of Exponential Decay for Spiking Neural Networks. 1-4 - Yin-Tsung Hwang, Kuan-Hong Chen, Chih-Peng Fan
iAMEC, an Intelligent Autonomous Mover for Navigation in Indoor People Rich Environments. 1-4 - Shuo-An Huang, Yi-Yen Hsieh, Chia-Hsiang Yang:
Design optimization for ADMM-Based SVM Training Processor for Edge Computing. 1-5 - Lei Fu, Ce Guo, Wayne Luk:
FPGA-accelerated Agent-Based Simulation for COVID-19. 1-4 - Ziyu Wang, Jie Yang, Mohamad Sawan:
A Novel Multi-scale Dilated 3D CNN for Epileptic Seizure Prediction. 1-4 - Wen-Chieh Wu, Chen-Fu Yeh, Alexander James White
Integer Quadratic Integrate-and-Fire (IQIF): A Neuron Model for Digital Neuromorphic Systems. 1-4 - Jingchi Zhang, Yihao Huang, Huanrui Yang, Michael A. Martinez, Granger Hickman, Jeffrey L. Krolik, Hai Li:
Efficient FPGA Implementation of a Convolutional Neural Network for Radar Signal Processing. 1-4 - Sathwika Bavikadi
uPIM: Performance-aware Online Learning Capable Processing-in-Memory. 1-4 - Rishabh Sehgal, Jaydeep P. Kulkarni:
Trends in Analog and Digital Intensive Compute-in-SRAM Designs. 1-4 - Cong Hao, Deming Chen:
Software/Hardware Co-design for Multi-modal Multi-task Learning in Autonomous Systems. 1-5 - Min Liu, Yifan He, Hailong Jiao:
Efficient Zero-Activation-Skipping for On-Chip Low-Energy CNN Acceleration. 1-4 - Prachi Kashikar, Sharad Sinha, Ajeet Kumar Verma:
Exploiting Weight Statistics for Compressed Neural Network Implementation on Hardware. 1-4
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