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of 698
pro vyhledávání: '"Chang-Kuo Wei"'
Autor:
Chang, Kuo-Wei, Chang, Tian-Sheuan
Hardware accelerator for convolution neural network (CNNs) enables real time applications of artificial intelligence technology. However, most of the accelerators only support dense CNN computations or suffers complex control to support fine grained
Externí odkaz:
http://arxiv.org/abs/2205.02271
Autor:
Chang, Kuo-Wei, Chang, Tian-Sheuan
Publikováno v:
in IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 67, no. 1, pp. 145-154, Jan. 2020
Hardware accelerators for convolution neural networks (CNNs) enable real-time applications of artificial intelligence technology. However, most of the existing designs suffer from low hardware utilization or high area cost due to complex dataflow. Th
Externí odkaz:
http://arxiv.org/abs/2205.02270
Autor:
Chang, Kuo-Wei, Shih, Hsu-Tung, Chang, Tian-Sheuan, Tsai, Shang-Hong, Yang, Chih-Chyau, Wu, Chien-Ming, Huang, Chun-Ming
Memory bandwidth has become the real-time bottleneck of current deep learning accelerators (DLA), particularly for high definition (HD) object detection. Under resource constraints, this paper proposes a low memory traffic DLA chip with joint hardwar
Externí odkaz:
http://arxiv.org/abs/2205.01571
Autor:
Chang, Kuo-Wei, Chang, Tian-Sheuan
Hardware acceleration for dilated and transposed convolution enables real time execution of related tasks like segmentation, but current designs are specific for these convolutional types or suffer from complex control for reconfigurable designs. Thi
Externí odkaz:
http://arxiv.org/abs/2205.02103
Autor:
Chang, Shi-Rou, Chou, Chung-Hsien, Tu, Hsi-Feng, Liu, Chung-Ji, Chang, Kuo-Wei, Lin, Shu-Chun
Publikováno v:
In Journal of Dental Sciences July 2024 19(3):1380-1388
Akademický článek
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Autor:
Cheng, Yun-Chien1,2 (AUTHOR) ckcw@nycu.edu.tw, Chang, Kuo-Wei2,3,4 (AUTHOR) g00750@nycu.edu.tw, Pan, Jian-Hua2 (AUTHOR) michaelchou0806@gmail.com, Chen, Chao-Yu1 (AUTHOR) tacocy@hotmail.com, Chou, Chung-Hsien2 (AUTHOR) hftu@nycu.edu.tw, Tu, Hsi-Feng2,3 (AUTHOR) wcli@nycu.edu.tw, Li, Wan-Chun2,3 (AUTHOR), Lin, Shu-Chun2,3,4 (AUTHOR) shuchun@nycu.edu.tw
Publikováno v:
International Journal of Molecular Sciences. Dec2023, Vol. 24 Issue 23, p16662. 15p.
Publikováno v:
In Journal of Dental Sciences April 2022 17(2):659-665