Zobrazeno 1 - 10
of 152 001
pro vyhledávání: '"Ng P."'
Autor:
Jia, Xiaojun, Huang, Yihao, Liu, Yang, Tan, Peng Yan, Yau, Weng Kuan, Mak, Mun-Thye, Sim, Xin Ming, Ng, Wee Siong, Ng, See Kiong, Liu, Hanqing, Zhou, Lifeng, Yan, Huanqian, Sun, Xiaobing, Liu, Wei, Wang, Long, Qian, Yiming, Liu, Yong, Yang, Junxiao, Zhang, Zhexin, Lei, Leqi, Chen, Renmiao, Lu, Yida, Cui, Shiyao, Wang, Zizhou, Li, Shaohua, Wang, Yan, Goh, Rick Siow Mong, Zhen, Liangli, Zhang, Yingjie, Zhao, Zhe
This paper introduces the Global Challenge for Safe and Secure Large Language Models (LLMs), a pioneering initiative organized by AI Singapore (AISG) and the CyberSG R&D Programme Office (CRPO) to foster the development of advanced defense mechanisms
Externí odkaz:
http://arxiv.org/abs/2411.14502
Autor:
Zhang, Gong, Primaatmaja, Ignatius William, Chen, Yue, Ng, Si Qi, Ng, Hong Jie, Pistoia, Marco, Gong, Xiao, Goh, Koon Tong, Wang, Chao, Lim, Charles
The power of quantum random number generation is more than just the ability to create truly random numbers$\unicode{x2013}$it can also enable self-testing, which allows the user to verify the implementation integrity of certain critical quantum compo
Externí odkaz:
http://arxiv.org/abs/2411.13712
Autor:
Yee, Jeremy Stephen Gabriel, Ng, Pai Chet, Wang, Zhengkui, McLoughlin, Ian, Ng, Aik Beng, See, Simon
This paper presents a systematic review of the infrastructure requirements for deploying Large Language Models (LLMs) on-device within the context of small and medium-sized enterprises (SMEs), focusing on both hardware and software perspectives. From
Externí odkaz:
http://arxiv.org/abs/2410.16070
The study on GitHub Copilot by GovTech Singapore's Engineering Productivity Programme (EPP) reveals significant potential for AI Code Assistant tools to boost developer productivity and improve application quality in the public sector. Highlighting t
Externí odkaz:
http://arxiv.org/abs/2409.17434
Autor:
Agazie, Gabriella, Anumarlapudi, Akash, Archibald, Anne M., Arzoumanian, Zaven, Baier, Jeremy G., Baker, Paul T., Becsy, Bence, Blecha, Laura, Brazier, Adam, Brook, Paul R., Burke-Spolaor, Sarah, Casey-Clyde, J. Andrew, Charisi, Maria, Chatterjee, Shami, Cohen, Tyler, Cordes, James M., Cornish, Neil J., Crawford, Fronefield, Cromartie, H. Thankful, Crowter, Kathryn, DeCesar, Megan E., Demorest, Paul B., Deng, Heling, Dey, Lankeswar, Dolch, Timothy, Ferrara, Elizabeth C., Fiore, William, Fonseca, Emmanuel, Freedman, Gabriel E., Gardiner, Emiko C., Garver-Daniels, Nate, Gentile, Peter A., Gersbach, Kyle A., Glaser, Joseph, Good, Deborah C., Guertin, Lydia, Gultekin, Kayhan, Hazboun, Jeffrey S., Jennings, Ross J., Johnson, Aaron D., Jones, Megan L., Kaiser, Andrew R., Kaplan, David L., Kelley, Luke Zoltan, Kerr, Matthew, Key, Joey S., Laal, Nima, Lam, Michael T., Lamb, William G., Larsen, Bjorn, Lazio, T. Joseph W., Lewandowska, Natalia, Liu, Tingting, Lorimer, Duncan R., Luo, Jing, Lynch, Ryan S., Ma, Chung-Pei, Madison, Dustin R., McEwen, Alexander, McKee, James W., McLaughlin, Maura A., McMann, Natasha, Meyers, Bradley W., Meyers, Patrick M., Middleton, Hannah, Mingarelli, Chiara M. F., Mitridate, Andrea, Moore, Christopher J., Ng, Cherry, Nice, David J., Ocker, Stella Koch, Olum, Ken D., Pennucci, Timothy T., Perera, Benetge B. P., Pol, Nihan S., Radovan, Henri A., Ransom, Scott M., Ray, Paul S., Romano, Joseph D., Runnoe, Jessie C., Saffer, Alexander, Sardesai, Shashwat C., Schmiedekamp, Ann, Schmiedekamp, Carl, Schmitz, Kai, Shapiro-Albert, Brent J., Siemens, Xavier, Simon, Joseph, Siwek, Magdalena S., Fiscella, Sophia V. Sosa, Stairs, Ingrid H., Stinebring, Daniel R., Stovall, Kevin, Susobhanan, Abhimanyu, Swiggum, Joseph K., Taylor, Stephen R., Turner, Jacob E., Unal, Caner, Vallisneri, Michele, Vecchio, Alberto, Vigeland, Sarah J., Wahl, Haley M., Witt, Caitlin A., Wright, David, Young, Olivia
Evidence has emerged for a stochastic signal correlated among 67 pulsars within the 15-year pulsar-timing data set compiled by the NANOGrav collaboration. Similar signals have been found in data from the European, Indian, Parkes, and Chinese PTAs. Th
Externí odkaz:
http://arxiv.org/abs/2411.14846
This study pioneers the application of Recursive Feature Machines (RFM) in QSPR modeling, introducing a tailored feature importance analysis approach to enhance interpretability. By leveraging deep feature learning through AGOP, RFM achieves state-of
Externí odkaz:
http://arxiv.org/abs/2411.14079
Smart rings for subtle, reliable finger input offer an attractive path for ubiquitous interaction with wearable computing platforms. However, compared to ordinary rings worn for cultural or fashion reasons, smart rings are much bulkier and less comfo
Externí odkaz:
http://arxiv.org/abs/2411.13065
Autor:
Shi, Enyu, Zhang, Jiayi, Liu, Ziheng, Zhu, Yiyang, Yuen, Chau, Ng, Derrick Wing Kwan, Di Renzo, Marco, Ai, Bo
Cell-free (CF) massive multiple-input multiple-output (mMIMO) and reconfigurable intelligent surface (RIS) are two advanced transceiver technologies for realizing future sixth-generation (6G) networks. In this paper, we investigate the joint precodin
Externí odkaz:
http://arxiv.org/abs/2411.11070
Autor:
Gnarini, Andrea, Farinelli, Ruben, Ursini, Francesco, Bianchi, Stefano, Capitanio, Fiamma, Matt, Giorgio, Ng, Mason, Tarana, Antonella, Bobrikova, Anna, Cocchi, Massimo, Fabiani, Sergio, Kaaret, Philip, Poutanen, Juri, Ravi, Swati
We report the first simultaneous X-ray spectropolarimetric observation of the bright atoll neutron star low-mass X-ray binary GX 3+1, performed by the Imaging X-ray Polarimetry Explorer (IXPE) joint with NICER and NuSTAR. The source does not exhibit
Externí odkaz:
http://arxiv.org/abs/2411.10353
Autor:
Ahamed, Ishrath, Ranathunga, Chamith Dilshan, Udayantha, Dinuka Sandun, Ng, Benny Kai Kiat, Yuen, Chau
Accurate people counting in smart buildings and intelligent transportation systems is crucial for energy management, safety protocols, and resource allocation. This is especially critical during emergencies, where precise occupant counts are vital fo
Externí odkaz:
http://arxiv.org/abs/2411.10072