Zobrazeno 1 - 10
of 1 506
pro vyhledávání: '"Lu Qinghua"'
Publikováno v:
Open Medicine, Vol 17, Iss 1, Pp 1405-1411 (2022)
It is not determined whether serum visfatin levels are related to the presence and severity of coronary artery disease (CAD) in non-diabetic subjects. In this study, a total of 65 consecutive non-diabetic participants who underwent coronary angiograp
Externí odkaz:
https://doaj.org/article/054297c52bc4449a8dc80dcbf8b542bd
Autor:
Pan, Shidong, Wang, Litian, Zhang, Tianyi, Xing, Zhenchang, Zhao, Yanjie, Lu, Qinghua, Sun, Xiaoyu
AI-empowered tools have emerged as a transformative force, fundamentally reshaping the software development industry and promising far-reaching impacts across diverse sectors. This study investigates the adoption, impact, and security considerations
Externí odkaz:
http://arxiv.org/abs/2409.13343
Autor:
Perera, Harsha, Lee, Sung Une, Liu, Yue, Xia, Boming, Lu, Qinghua, Zhu, Liming, Cairns, Jessica, Nottage, Moana
As Artificial Intelligence (AI) becomes integral to business operations, integrating Responsible AI (RAI) within Environmental, Social, and Governance (ESG) frameworks is essential for ethical and sustainable AI deployment. This study examines how le
Externí odkaz:
http://arxiv.org/abs/2409.10520
Autor:
Zhou, Jingwen, Lu, Qinghua, Chen, Jieshan, Zhu, Liming, Xu, Xiwei, Xing, Zhenchang, Harrer, Stefan
The rapid advancement of AI technology has led to widespread applications of agent systems across various domains. However, the need for detailed architecture design poses significant challenges in designing and operating these systems. This paper in
Externí odkaz:
http://arxiv.org/abs/2408.02920
The rapid advancement and widespread deployment of foundation model (FM) based systems have revolutionized numerous applications across various domains. However, the fast-growing capabilities and autonomy have also raised significant concerns about r
Externí odkaz:
http://arxiv.org/abs/2408.02205
The rapid growth of Artificial Intelligence (AI) has underscored the urgent need for responsible AI practices. Despite increasing interest, a comprehensive AI risk assessment toolkit remains lacking. This study introduces our Responsible AI (RAI) Que
Externí odkaz:
http://arxiv.org/abs/2408.11820
Autor:
Lee, Sung Une, Perera, Harsha, Liu, Yue, Xia, Boming, Lu, Qinghua, Zhu, Liming, Cairns, Jessica, Nottage, Moana
Artificial Intelligence (AI) is a widely developed and adopted technology across entire industry sectors. Integrating environmental, social, and governance (ESG) considerations with AI investments is crucial for ensuring ethical and sustainable techn
Externí odkaz:
http://arxiv.org/abs/2408.00965
While deep learning has become a core functional module of most software systems, concerns regarding the fairness of ML predictions have emerged as a significant issue that affects prediction results due to discrimination. Intersectional bias, which
Externí odkaz:
http://arxiv.org/abs/2407.01595
Pythonic idioms are highly valued and widely used in the Python programming community. However, many Python users find it challenging to use Pythonic idioms. Adopting a rule-based approach or LLM-only approach is not sufficient to overcome three pers
Externí odkaz:
http://arxiv.org/abs/2406.03660
Autor:
Liu, Yue, Lo, Sin Kit, Lu, Qinghua, Zhu, Liming, Zhao, Dehai, Xu, Xiwei, Harrer, Stefan, Whittle, Jon
Foundation model-enabled generative artificial intelligence facilitates the development and implementation of agents, which can leverage distinguished reasoning and language processing capabilities to takes a proactive, autonomous role to pursue user
Externí odkaz:
http://arxiv.org/abs/2405.10467