Zobrazeno 1 - 10
of 174
pro vyhledávání: '"Wang, Yanchen"'
Autor:
Wang, Yanchen, Turnbull, Adam, Xiang, Tiange, Xu, Yunlong, Zhou, Sa, Masoud, Adnan, Azizi, Shekoofeh, Lin, Feng Vankee, Adeli, Ehsan
Neural decoding, the process of understanding how brain activity corresponds to different stimuli, has been a primary objective in cognitive sciences. Over the past three decades, advancements in functional Magnetic Resonance Imaging and machine lear
Externí odkaz:
http://arxiv.org/abs/2411.07121
Autor:
Wang, Yanchen, Singh, Lisa
Publikováno v:
13th International Conference on Data Science, Technology and Applications (DATA 2024), pages 460-470
The launch of ChatGPT in November 2022 marked the beginning of a new era in AI, the availability of generative AI tools for everyone to use. ChatGPT and other similar chatbots boast a wide range of capabilities from answering student homework questio
Externí odkaz:
http://arxiv.org/abs/2409.01539
Autor:
Zhang, Yizi, Wang, Yanchen, Jimenez-Beneto, Donato, Wang, Zixuan, Azabou, Mehdi, Richards, Blake, Winter, Olivier, Laboratory, International Brain, Dyer, Eva, Paninski, Liam, Hurwitz, Cole
Neuroscience research has made immense progress over the last decade, but our understanding of the brain remains fragmented and piecemeal: the dream of probing an arbitrary brain region and automatically reading out the information encoded in its neu
Externí odkaz:
http://arxiv.org/abs/2407.14668
Autor:
Wang, Yanchen, Singh, Lisa
Generative AI models continue to become more powerful. The launch of ChatGPT in November 2022 has ushered in a new era of AI. ChatGPT and other similar chatbots have a range of capabilities, from answering student homework questions to creating music
Externí odkaz:
http://arxiv.org/abs/2306.07500
Computerized cognitive training (CCT) is a scalable, well-tolerated intervention that has promise for slowing cognitive decline. Outcomes from CCT are limited by a lack of effective engagement, which is decreased by factors such as mental fatigue, pa
Externí odkaz:
http://arxiv.org/abs/2304.12470
Autor:
Shang, Min, Li, Chenyu, Wang, Yanchen, Chen, Xiangxu, Zhao, Yuanbang, Ke, Jingli, Wang, Yunpeng, Ma, Haitao, Chen, Jun
Publikováno v:
In Journal of Materials Research and Technology November-December 2024 33:6307-6318
Autor:
Wang, Yanchen, Huang, Yikai, Sun, Ying, Zhao, Mantong, Liu, Zhongyuan, Shi, Haohao, Zhang, Xueying, Zhao, Yongqiang, Xia, Guanghua, Shen, Xuanri
Publikováno v:
In International Journal of Biological Macromolecules October 2024 277 Part 2
Publikováno v:
In Artificial Intelligence In Medicine August 2024 154
Autor:
Singh, Lisa, Donato, Katharine, Arab, Ali, Belon, Tomas Alvarez, Fraifeld, Abraham, Fulmer, Sean, Post, Douglas, Wang, Yanchen
This extended abstract describes an ongoing project that attempts to blend publicly available organic, real time behavioral data, event data, and traditional migration data to determine when and where people will move during times of instability. We
Externí odkaz:
http://arxiv.org/abs/2007.06116