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Publication search results
found 136 matches
- 2022
- Byungmin Ahn, Jaehun Jang, Hanbyeul Na, Mankeun Seo, Hongrak Son, Yong Ho Song:
AI Accelerator Embedded Computational Storage for Large-Scale DNN Models. AICAS 2022: 483-486 - Udari De Alwis, Massimo Alioto:
Temporal Redundancy-Based Computation Reduction for 3D Convolutional Neural Networks. AICAS 2022: 86-89 - SuBin Bea, Ye-Seul Park, Joo-Sung Sun, Jung-Won Lee:
Quality Evaluation Method for Chest X-Ray Images using the Reference Patterns. AICAS 2022: 266-269 - Davide Bertozzi, Kshitij Bhardwaj, Steven M. Nowick:
An Asynchronous Soft Macro for Ultra-Low Power Communication in Neuromorphic Computing. AICAS 2022: 178-181 - Thomas Bohnstingl, Anja Surina, Maxime Fabre, Yigit Demirag, Charlotte Frenkel, Melika Payvand, Giacomo Indiveri, Angeliki Pantazi:
Biologically-inspired training of spiking recurrent neural networks with neuromorphic hardware. AICAS 2022: 218-221 - Stephan Boner, Christian Vogt, Michele Magno:
Tiny TCN model for Gesture Recognition With Multi-point Low power ToF-Sensors. AICAS 2022: 356-359 - Stefan Brennsteiner, Tughrul Arslan, John S. Thompson, Andrew C. McCormick:
A machine learning enhanced approximate message passing massive MIMO accelerator. AICAS 2022: 443-446 - Nazareno Bruschi, Giuseppe Tagliavini, Francesco Conti, Sergi Abadal, Albert Cabellos-Aparicio, Eduard Alarcón, Geethan Karunaratne, Irem Boybat, Luca Benini, Davide Rossi:
Scale up your In-Memory Accelerator: Leveraging Wireless-on-Chip Communication for AIMC-based CNN Inference. AICAS 2022: 170-173 - Alessio Burrello, Giacomo Sintoni, Davide Brunelli, Luca Benini:
Adversarially-Trained Tiny Autoencoders for Near-Sensor Continuous Structural Health Monitoring. AICAS 2022: 439-442 - Jheng-Yi Chang, Ching-Te Chiu, Pin-Hsuan Chen:
Lightweight and Efficient Neural Network Using Progressively Greedy Search. AICAS 2022: 46-49 - Cheng-Yang Chang, Yu-Chuan Chuang, Kuang-Chao Chou, An-Yeu Wu:
T-EAP: Trainable Energy-Aware Pruning for NVM-based Computing-in-Memory Architecture. AICAS 2022: 78-81 - Kun-Chih Jimmy Chen, Cheng-Ting Chen:
Hybrid Binary-Stochastic Computing-based ANN Design with Binary-in-Series-out ReLU. AICAS 2022: 162-165 - Yu-Guang Chen, Tsung-Han Hsieh, Yi-Chen Ho, Jing-Yang Jou:
A Novel DNN Accelerator for Light-weight Neural Networks: Concept and Design. AICAS 2022: 250-253 - Yong-Tai Chen, Yu-Feng Ou, Chao-Tsung Huang:
A Winograd-Based Highly-Parallel Convolution Engine for 8-bit CNN Acceleration. AICAS 2022: 395-398 - Qinyu Chen, Congyi Sun, Zhonghai Lu, Chang Gao:
Enabling Energy-Efficient Inference for Self-Attention Mechanisms in Neural Networks. AICAS 2022: 25-28 - Shao Wen Cheng, Kai Jyun Hung, Hsie-Chia Chang, Yen-Chin Liao:
An Attention-based Neural Network on Multiple Speaker Diarization. AICAS 2022: 431-434 - Hsu-Hsun Chin, Ren-Song Tsay, Hsin-I Wu:
An Adaptive High-Performance Quantization Approach for Resource-Constrained CNN Inference. AICAS 2022: 336-339 - Yubin Cho, Sukju Kang:
Class Attention Transfer for Semantic Segmentation. AICAS 2022: 41-45 - Dahun Choi, Hyun Kim:
Hardware-Friendly Logarithmic Quantization with Mixed-Precision for MobileNetV2. AICAS 2022: 348-351 - Yu-Chien Chung, Hao-Hsiang Lian, Yong-Lun Xiao, Chih-Tsun Huang, Jing-Jia Liou:
Fast DNN-based Mechatronics Prototyping Platform on Robotic Arm Control. AICAS 2022: 506 - Cristian Cioflan, Lukas Cavigelli, Manuele Rusci, Miguel de Prado, Luca Benini:
Towards On-device Domain Adaptation for Noise-Robust Keyword Spotting. AICAS 2022: 82-85 - Steven Colleman, Peter Zhu, Wei Sun, Marian Verhelst:
Optimizing Accelerator Configurability for Mobile Transformer Networks. AICAS 2022: 142-145 - Xiuping Cui, Xiaochen Hao, Yun Liang, Guangyu Sun, Xiaoxin Cui, Yuan Wang, Ru Huang:
A Mapping Model of SNNs to Neuromorphic Hardware. AICAS 2022: 206-209 - Sohum Datta, Jan M. Rabaey:
A probability-inspired normalization for fixed-precision Hyper-Dimensional Computing. AICAS 2022: 21-24 - Anuj Dubey, Emre Karabulut, Amro Awad, Aydin Aysu:
High-Fidelity Model Extraction Attacks via Remote Power Monitors. AICAS 2022: 328-331 - Jason Kamran Eshraghian, Corey Lammie, Mostafa Rahimi Azghadi, Wei D. Lu:
Navigating Local Minima in Quantized Spiking Neural Networks. AICAS 2022: 352-355 - Matteo Farronato, Margherita Melegari, Saverio Ricci, Shahin Hashemkhani, Christian Monzio Compagnoni, Daniele Ielmini:
Low-current, highly linear synaptic memory device based on MoS2 transistors for online training and inference. AICAS 2022: 1-4 - Marco Giordano, Luigi Piccinelli, Michele Magno:
Survey and Comparison of Milliwatts Micro controllers for Tiny Machine Learning at the Edge. AICAS 2022: 94-97 - Amélie Gruel, Antonio Vitale, Jean Martinet, Michele Magno:
Neuromorphic Event-Based Spatio-temporal Attention using Adaptive Mechanisms. AICAS 2022: 379-382 - Wenzhe Guo, Mohammed E. Fouda, Ahmed M. Eltawil, Khaled Nabil Salama:
Efficient Hardware Implementation for Online Local Learning in Spiking Neural Networks. AICAS 2022: 387-390
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