Results 41 to 50 of about 3,678 (169)
Policy &Internet, Volume 16, Issue 4, Page 711-726, December 2024.Abstract In the digital sovereignty debate, countries and blocks seek to build technological and regulatory capacity to ascertain technological autonomy—definitions notwithstanding. Meanwhile, these actors seek to position themselves discursively, differentiating their own understanding of digital sovereignty from that of competing powers.
Riccardo Nanni +2 more
wiley +1 more source
Eyes on nature: Embedded vision cameras for terrestrial biodiversity monitoring
Methods in Ecology and Evolution, Volume 15, Issue 12, Page 2262-2275, December 2024.Abstract We need comprehensive information to manage and protect biodiversity in the face of global environmental challenges, and artificial intelligence is required to generate that information from vast amounts of biodiversity data. Currently, vision‐based monitoring methods are heterogenous; they poorly cover spatial and temporal dimensions, overly ...
Kevin F. A. Darras +11 more
wiley +1 more source
ATO: an approximate translation algorithm for OIL based ontology(ATO：一种基于OIL的本体论近似翻译算法)
Zhejiang Daxue xuebao. Lixue ban, 2005 本体论翻译在语义Web、知识联网和分布的协同工作等领域有重要作用.提出了一种基于OIL的本体论近似翻译算法ATO，旨在通过比较源、目标本体论所属对象类之间属性的相似度来实现近似翻译：将源本体论中的类翻译到目标本体论中和它最相似的类.
YUANCheng-xiang(袁成祥) +1 more
doaj +1 more source
Methods in Ecology and Evolution, Volume 15, Issue 10, Page 1757-1763, October 2024.Abstract Large language models (LLMs) are a type of artificial intelligence (AI) that can perform various natural language processing tasks. The adoption of LLMs has become increasingly prominent in scientific writing and analyses because of the availability of free applications such as ChatGPT. This increased use of LLMs not only raises concerns about
Natalie Cooper +4 more
wiley +1 more source
A human visual cognitive mechanism based network for surface defect detection(基于人类视觉认知机制的表面缺陷检测)
Zhejiang Daxue xuebao. Lixue banSurface defect detection is crucial for ensuring product performance, quality, aesthetics, and production efficiency. Despite rapid advancements in artificial intelligence in the field of visual inspection, developing machine vision learning based on ...
崔丽莎(CUI Lisha) +5 more
doaj +1 more source
智能科学与技术学报, 2021 机器博弈是一种机器模仿人的方式进行思考和决策的人工智能，是当前人工智能领域非常具有挑战性的研究方向，其研究现状很大程度上代表了人工智能的发展水平。总结了机器博弈的基本概念、研究现状和典型应用，探讨了机器博弈研究面临的挑战和发展趋势，分析了与机器博弈相关的研究在社会治理上可能的应用，进而提出基于平行系统和机器博弈的社会认知平行博弈方法，以期为与社会治理相关的研究提供新的思路。
李亚玲 +4 more
doaj
Policy &Internet, Volume 16, Issue 3, Page 643-660, September 2024.Abstract Despite an unprecedented abundance of news content, both news avoidance and dissatisfaction are rising. Blending journalism, philosophy and law scholarship, this paper argues that ‘news choice overload’ causes paralysis and poor outcomes as it transfers power to algorithms, thereby harming autonomy and, in turn, democracy.
Sacha Molitorisz
wiley +1 more source
智能科学与技术学报, 2022 基于国内外地铁列车驾驶技术的发展现状，阐述了地铁列车智能驾驶发展及研究的必要性。针对当前无人驾驶采用的机器学习算法可解释性差的缺陷，引入模糊系统，提出了基于人机混合智能的地铁列车无人驾驶系统，以两种方式实现人机混合智能。探索了结合认知系统的地铁列车无人驾驶系统，为实现真正意义上的强人工智能地铁列车无人驾驶系统提供了一种面向未来的解决方案。
黄本遵 +4 more
doaj
Trade credit and corporate digital transformation: The role of managerial ability
Financial Review, Volume 59, Issue 3, Page 779-806, August 2024.Abstract We examine whether managerial ability affects the relationship between corporate digital transformation and trade credit. To measure digital transformation, we perform a textual analysis of companies’ annual reports using a customized Chinese dictionary containing digital transformation keywords based on national policy documents and academic ...
Liukai Wang +3 more
wiley +1 more source