Zobrazeno 1 - 10
of 56 345
pro vyhledávání: '"Mian, A A"'
Autor:
Pishehvar, Amin, Wang, Zhaoyou, Zhu, Yujie, Jiang, Yu, Yan, Zixin, Li, Fangxin, Jornet, Josep M., Hu, Jia-Mian, Jiang, Liang, Zhang, Xufeng
Cavity magnonics is a promising field focusing the interaction between spin waves (magnons) and other types of signals. In cavity magnonics, the function of isolating magnons from the cavity to allow signal storage and processing fully in the magnoni
Externí odkaz:
http://arxiv.org/abs/2412.15600
Autor:
Mian, Dilan
The world can be a complex and difficult place to navigate. People with High-Functioning Autistic Spectrum Disorder as well as general social ineptitude often face navigation challenges that individuals of other demographics simply do not themselves.
Externí odkaz:
http://arxiv.org/abs/2412.03740
Autor:
Li, Ziqian, Chen, Ke, Wang, Xudong, Luo, Kan, Lei, Lei, Li, Mian, Liang, Kun, Wang, Degao, Du, Shiyu, Chai, Zhifang, Huang, Qing
Two-dimensional transition metal carbides and nitrides (MXenes) have gained popularity in fields such as energy storage, catalysis, and electromagnetic interference due to their diverse elemental compositions and variable surface terminations (T). Ge
Externí odkaz:
http://arxiv.org/abs/2412.02157
Autor:
Xiong, Yuzan, Christy, Andrew, Mahdi, Muntasir, Sun, Rui, Li, Yi, Geil, Robert D., Cahoon, James F., Tsui, Frank, Yang, Binbin, Kim, Tae Hee, Hu, Jia-Mian, Sun, Dali, Hamilton, Michael C., Novosad, Valentine, Zhang, Wei
The needs for sensitively and reliably probing magnetization dynamics have been increasing in various contexts such as studying novel hybrid magnonic systems, in which the spin dynamics strongly and coherently couple to other excitations, including m
Externí odkaz:
http://arxiv.org/abs/2412.00611
The widespread availability of multimodal generative models has sparked critical discussions on their fairness, reliability, and potential for misuse. While text-to-image models can produce high-fidelity, user-guided images, they also exhibit unpredi
Externí odkaz:
http://arxiv.org/abs/2411.13981
Training multimodal generative models on large, uncurated datasets can result in users being exposed to harmful, unsafe and controversial or culturally-inappropriate outputs. While model editing has been proposed to remove or filter undesirable conce
Externí odkaz:
http://arxiv.org/abs/2411.13982
Lossy compression methods rely on an autoencoder to transform a point cloud into latent points for storage, leaving the inherent redundancy of latent representations unexplored. To reduce redundancy in latent points, we propose a sparse priors guided
Externí odkaz:
http://arxiv.org/abs/2411.13860
Autor:
Deng, Andong, Chen, Tongjia, Yu, Shoubin, Yang, Taojiannan, Spencer, Lincoln, Tian, Yapeng, Mian, Ajmal Saeed, Bansal, Mohit, Chen, Chen
In this paper, we introduce Motion-Grounded Video Reasoning, a new motion understanding task that requires generating visual answers (video segmentation masks) according to the input question, and hence needs implicit spatiotemporal reasoning and gro
Externí odkaz:
http://arxiv.org/abs/2411.09921
Autor:
Song, Yunxiang, Hu, Yaowen, Zhu, Xinrui, Powell, Keith, Magalhães, Letícia, Ye, Fan, Warner, Hana, Lu, Shengyuan, Li, Xudong, Renaud, Dylan, Lippok, Norman, Zhu, Di, Vakoc, Benjamin, Zhang, Mian, Sinclair, Neil, Lončar, Marko
The rapid growth in artificial intelligence and modern communication systems demands innovative solutions for increased computational power and advanced signaling capabilities. Integrated photonics, leveraging the analog nature of electromagnetic wav
Externí odkaz:
http://arxiv.org/abs/2411.04395
Autor:
Hu, Yaowen, Song, Yunxiang, Zhu, Xinrui, Guo, Xiangwen, Lu, Shengyuan, Zhang, Qihang, He, Lingyan, Franken, C. A. A., Powell, Keith, Warner, Hana, Assumpcao, Daniel, Renaud, Dylan, Wang, Ying, Magalhães, Letícia, Rosborough, Victoria, Shams-Ansari, Amirhassan, Li, Xudong, Cheng, Rebecca, Luke, Kevin, Yang, Kiyoul, Barbastathis, George, Zhang, Mian, Zhu, Di, Johansson, Leif, Beling, Andreas, Sinclair, Neil, Loncar, Marko
Here we show a photonic computing accelerator utilizing a system-level thin-film lithium niobate circuit which overcomes this limitation. Leveraging the strong electro-optic (Pockels) effect and the scalability of this platform, we demonstrate photon
Externí odkaz:
http://arxiv.org/abs/2411.02734