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pro vyhledávání: '"Chen, I"'
Sparse Mixture-of-Experts (SMoE) models represent a significant breakthrough in large language model development. These models enable performance improvements without a proportional increase in inference costs. By selectively activating a small set o
Externí odkaz:
http://arxiv.org/abs/2410.08589
Autor:
Adya, Uthkarsh, Chen, Rui, Chen, I-Tung, Joshi, Sanskriti, Majumdar, Arka, Li, Mo, Moazeni, Sajjad
Quantum computing, ultra-low-noise sensing, and high-energy physics experiments often rely on superconducting circuits or semiconductor qubits and devices operating at deep cryogenic temperatures (4K and below). Photonic integrated circuits and inter
Externí odkaz:
http://arxiv.org/abs/2410.08572
Publikováno v:
International Journal of Management Studies, Vol 28, Iss 1, Pp 1-24 (2021)
Academics exert themselves tremendously to advance in higher education institutions, and their leaders’ emotional intelligence and idealised influence are fundamental to responsiveness regarding performance. The effects of transformational leadersh
Externí odkaz:
https://doaj.org/article/5d2d4d14111d4a4a8bbd0b1534f73856
Autor:
Chen, I-Chi, Getelina, João C., Pollock, Klée, Sen, Srimoyee, Yao, Yong-Xin, Iadecola, Thomas
Simulating strongly coupled gauge theories at finite temperature and density is a longstanding challenge in nuclear and high-energy physics that also has fundamental implications for condensed matter physics. In this work, we investigate the utility
Externí odkaz:
http://arxiv.org/abs/2407.11949
Within the evolving domain of quantum computational chemistry, the Variational Quantum Eigensolver (VQE) has been developed to explore not only the ground state but also the excited states of molecules. In this study, we compare the performance of Va
Externí odkaz:
http://arxiv.org/abs/2405.11687
Crowd counting and localization have become increasingly important in computer vision due to their wide-ranging applications. While point-based strategies have been widely used in crowd counting methods, they face a significant challenge, i.e., the l
Externí odkaz:
http://arxiv.org/abs/2405.10589
Robotic kitting has attracted considerable attention in logistics and industrial settings. However, existing kitting methods encounter challenges such as low precision and poor efficiency, limiting their widespread applications. To address these issu
Externí odkaz:
http://arxiv.org/abs/2403.13336
In this article, we study the stationary Boltzmann equation with the incoming boundary condition for the hard potential cases. Assuming the smallness of the domain and a suitable normal curvature condition on the boundary, we find a suitable solution
Externí odkaz:
http://arxiv.org/abs/2403.10016
Autor:
Chen, I-Hsuan Alan, Chu, Chi-Hsiang, Lin, Jen-Tai, Tsai, Jeng-Yu, Yu, Chia-Cheng, Sridhar, Ashwin Narasimha, Sooriakumaran, Prasanna, Loureiro, Rui C V, Chand, Manish
Publikováno v:
Journal of Medical Internet Research, Vol 22, Iss 12, p e16322 (2020)
BackgroundMobile health apps have emerged as useful tools for patients and clinicians alike, sharing health information or assisting in clinical decision-making. Prostate cancer (PCa) risk calculator mobile apps have been introduced to assess risks o
Externí odkaz:
https://doaj.org/article/53af53c010c7418c934ef6baf4d5d0af
Publikováno v:
Conference: 2024 16th International Conference on COMmunication Systems & NETworkS (COMSNETS)
Our primary objective is to conduct a brief survey of various classical and quantum neural net sequence models, which includes self-attention and recurrent neural networks, with a focus on recent quantum approaches proposed to work with near-term qua
Externí odkaz:
http://arxiv.org/abs/2312.10242