Zobrazeno 1 - 10
of 8 138
pro vyhledávání: '"Ngai P"'
Autor:
Jicqueline Ratai, Christopher Boon Sung Teh, Ngai Paing Tan, Hasmah Mohidin, Kah Joo Goh, Faustina Elfrida Sangok, Lulie Melling
Publikováno v:
Heliyon, Vol 10, Iss 18, Pp e37754- (2024)
Oil palm is commonly replanted once reaching the end of its productive lifespan. This cyclical planting practice in oil palm plantations could have long-term implications for the humification and properties of tropical peat soil. This study aimed to
Externí odkaz:
https://doaj.org/article/7e531dc01e3a4df183c9a4e028bd9e18
Dialogue with Antonio Negri: A Few Thoughts on the Lecture 'Metropolis as a Post-Industrial Factory'
Autor:
Ngai Pun
Publikováno v:
tripleC: Communication, Capitalism & Critique, Vol 22, Iss 1, Pp 454-458 (2024)
On November 27 and 29, 2014, Prof. WANG Hui, the Director of Tsinghua Institute for Advanced Study in Humanities and Social Sciences in Beijing, invited Prof. Antonio Negri, one of Italy's most leading Marxist philosophers and activists, to give a se
Externí odkaz:
https://doaj.org/article/2e72fab26ea54aedbb47b2ca69afbb35
Autor:
Yee Lyn Ong, Eric Lim Teik Chung, Nazri Nayan, Ngai Paing Tan, Faez Firdaus Abdullah Jesse, Awis Qurni Sazili
Publikováno v:
Poultry Science Journal, Vol 12, Iss 1, Pp 1-17 (2024)
As the broiler chicken industry continues to develop, antibiotic growth promoters in poultry feed are being phased out because of increasing country restrictions and consumer concerns about food safety. As a result of these bans and efforts to preven
Externí odkaz:
https://doaj.org/article/96aae81de274409e83325d1bd3163365
Autor:
Peier Chen, Ngai Pun
Publikováno v:
Scienza & Politica, Vol 35, Iss 69, Pp 19-33 (2024)
China’s high-speed rail is an epochal project that marks the advent of infrastructural capitalism in the age of monopoly capital. It posits that China’s infrastructure projects, a distinctive form of geographies of capitalism, play several roles
Externí odkaz:
https://doaj.org/article/0d88ed40b15548198dae46b0bb242819
Publikováno v:
Heliyon, Vol 9, Iss 9, Pp e20213- (2023)
Washed rice water (WRW) is the leftover water after washing rice grains and is usually discarded. However, WRW contains nutrients leached from rice, making it a potential plant fertilizer. Reusing WRW promotes better water governance, particularly in
Externí odkaz:
https://doaj.org/article/a41f23b554e045e2bf0d21f051967ccf
Recently, prompt learning has emerged as the state-of-the-art (SOTA) for fair text-to-image (T2I) generation. Specifically, this approach leverages readily available reference images to learn inclusive prompts for each target Sensitive Attribute (tSA
Externí odkaz:
http://arxiv.org/abs/2410.18615
Autor:
Yang, Zebin, Chen, Renze, Wu, Taiqiang, Wong, Ngai, Liang, Yun, Wang, Runsheng, Huang, Ru, Li, Meng
In this paper, we propose MCUBERT to enable language models like BERT on tiny microcontroller units (MCUs) through network and scheduling co-optimization. We observe the embedding table contributes to the major storage bottleneck for tiny BERT models
Externí odkaz:
http://arxiv.org/abs/2410.17957
Autor:
Chen, Handi, Deng, Weipeng, Yang, Shuo, Xu, Jinfeng, Jiang, Zhihan, Ngai, Edith C. H., Liu, Jiangchuan, Liu, Xue
Edge Intelligence (EI) has been instrumental in delivering real-time, localized services by leveraging the computational capabilities of edge networks. The integration of Large Language Models (LLMs) empowers EI to evolve into the next stage: Edge Ge
Externí odkaz:
http://arxiv.org/abs/2410.18125
Autor:
Xiong, Jing, Shen, Jianghan, Ye, Fanghua, Tao, Chaofan, Wan, Zhongwei, Lu, Jianqiao, Wu, Xun, Zheng, Chuanyang, Guo, Zhijiang, Kong, Lingpeng, Wong, Ngai
Deploying large language models (LLMs) is challenging due to their high memory and computational demands, especially during long-context inference. While key-value (KV) caching accelerates inference by reusing previously computed keys and values, it
Externí odkaz:
http://arxiv.org/abs/2410.03090
Autor:
Li, Zixuan, Xiong, Jing, Ye, Fanghua, Zheng, Chuanyang, Wu, Xun, Lu, Jianqiao, Wan, Zhongwei, Liang, Xiaodan, Li, Chengming, Sun, Zhenan, Kong, Lingpeng, Wong, Ngai
We present UncertaintyRAG, a novel approach for long-context Retrieval-Augmented Generation (RAG) that utilizes Signal-to-Noise Ratio (SNR)-based span uncertainty to estimate similarity between text chunks. This span uncertainty enhances model calibr
Externí odkaz:
http://arxiv.org/abs/2410.02719