Zobrazeno 1 - 10
of 15 330
pro vyhledávání: '"zhu, Yi"'
Autor:
Niu, Chang, Zhang, Huanyu, Xu, Chuanlong, Hu, Wenjie, Wu, Yunzhuo, Wu, Yu, Wang, Yadi, Wu, Tong, Zhu, Yi, Zhu, Yinyan, Wang, Wenbin, Wu, Yizheng, Yin, Lifeng, Xiao, Jiang, Yu, Weichao, Guo, Hangwen, Shen, Jian
Publikováno v:
Proc. Natl. Acad. Sci. U.S.A. 121 (51) e2416294121,(2024)
Physical neural networks using physical materials and devices to mimic synapses and neurons offer an energy-efficient way to implement artificial neural networks. Yet, training physical neural networks are difficult and heavily relies on external com
Externí odkaz:
http://arxiv.org/abs/2501.01853
Autor:
Lin, Rui, Zhong, Han-Sen, Li, You, Zhao, Zhang-Rui, Zheng, Le-Tian, Hu, Tai-Ran, Wu, Hong-Ming, Wu, Zhan, Ma, Wei-Jie, Gao, Yan, Zhu, Yi-Kang, Su, Zhao-Feng, Ouyang, Wan-Li, Zhang, Yu-Chen, Rui, Jun, Chen, Ming-Cheng, Lu, Chao-Yang, Pan, Jian-Wei
Assembling increasingly larger-scale defect-free optical tweezer-trapped atom arrays is essential for quantum computation and quantum simulations based on atoms. Here, we propose an AI-enabled, rapid, constant-time-overhead rearrangement protocol, an
Externí odkaz:
http://arxiv.org/abs/2412.14647
Large Language Models (LLMs), while being increasingly dominant on a myriad of knowledge-intensive activities, have only had limited success understanding lengthy table-text mixtures, such as academic papers and financial reports. Recent advances of
Externí odkaz:
http://arxiv.org/abs/2412.09884
Autor:
Weng, Xiao-Ji, Zhu, Yi, Xu, Ying, Bai, Jie, Zhang, Zhuhua, Xu, Bo, Zhou, Xiang-Feng, Tian, Yongjun
Publikováno v:
Adv. Funct. Mater. 34, 2314576 (2024)
Metalloborophene, characterized by the presence of metal-centered boron wheels denoted as M\c{opyright}Bn, has garnered considerable attention in recent years due to its versatile properties and potential applications in fields such as electronics, s
Externí odkaz:
http://arxiv.org/abs/2412.02992
Autor:
Yu, Junqiu, Ren, Xinlin, Gu, Yongchong, Lin, Haitao, Wang, Tianyu, Zhu, Yi, Xu, Hang, Jiang, Yu-Gang, Xue, Xiangyang, Fu, Yanwei
Language-guided robotic grasping is a rapidly advancing field where robots are instructed using human language to grasp specific objects. However, existing methods often depend on dense camera views and struggle to quickly update scenes, limiting the
Externí odkaz:
http://arxiv.org/abs/2412.02140
We develop the fibration method to produce rational (or integral) points on the total space with few multiple fibers over the projective line over number fields. As its application, we prove strong approximation without off any place and arithmetic p
Externí odkaz:
http://arxiv.org/abs/2412.01144
Autor:
Chen, Jing, Chen, Ji-Yuan, Chen, Jun-Feng, Chen, Xiang, Fu, Chang-Bo, Guo, Jun, Guo, Yi-Han, Khaw, Kim Siang, Li, Jia-Lin, Li, Liang, Li, Shu, Lin, Yu-ming, Liu, Dan-Ning, Liu, Kang, Liu, Kun, Liu, Qi-Bin, Liu, Zhi, Lu, Ze-Jia, Lv, Meng, Song, Si-Yuan, Sun, Tong, Tang, Jian-Nan, Wan, Wei-Shi, Wang, Dong, Wang, Xiao-Long, Wang, Yu-Feng, Wang, Zhen, Wang, Zi-Rui, Wu, Wei-Hao, Yang, Hai-Jun, Yang, Lin, Yang, Yong, Yu, Dian, Yuan, Rui, Zhang, Jun-Hua, Zhang, Yu-Lei, Zhang, Yun-Long, Zhao, Zhi-Yu, Zhou, Bai-Hong, Zhu, Chun-Xiang, Zhu, Xu-Liang, Zhu, Yi-Fan
DarkSHINE is a newly proposed fixed-target experiment initiative to search for the invisible decay of Dark Photon via missing energy/momentum signatures, based on the high repetition rate electron beam to be deployed/delivered by the Shanghai High re
Externí odkaz:
http://arxiv.org/abs/2411.09345
Recent advancements utilizing large-scale video data for learning video generation models demonstrate significant potential in understanding complex physical dynamics. It suggests the feasibility of leveraging diverse robot trajectory data to develop
Externí odkaz:
http://arxiv.org/abs/2411.09153
Autor:
Tang, Yilin, Sripathy, Kabilan, Qin, Hao, Lu, Zhuoyuan, Guccione, Giovanni, Janousek, Jiri, Zhu, Yi, Hasan, Md Mehedi, Iwasa, Yoshihiro, Lam, Ping Koy, Lu, Yuerui
Quasi-phase matching (QPM) is a technique extensively utilized in nonlinear optics for enhancing the efficiency and stability of frequency conversion processes. However, the conventional QPM relies on periodically poled ferroelectric crystals, which
Externí odkaz:
http://arxiv.org/abs/2411.00303
Audio deepfake detection is crucial to combat the malicious use of AI-synthesized speech. Among many efforts undertaken by the community, the ASVspoof challenge has become one of the benchmarks to evaluate the generalizability and robustness of detec
Externí odkaz:
http://arxiv.org/abs/2410.07379