Robotics & Machine Learning Daily News2024,Issue(Jun.3) :4-4.

New Findings from Babes-Bolyai University in the Area of Artificial Intelligence Published (Socioeconomic and Cultural Determinants of the Development of Artifi cial Intelligence)

babes-bolyai大学在人工智能领域的新发现发表(人工智能发展的社会经济和文化决定因素)

Robotics & Machine Learning Daily News2024,Issue(Jun.3) :4-4.

New Findings from Babes-Bolyai University in the Area of Artificial Intelligence Published (Socioeconomic and Cultural Determinants of the Development of Artifi cial Intelligence)

babes-bolyai大学在人工智能领域的新发现发表(人工智能发展的社会经济和文化决定因素)

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摘要

由机器人与机器学习每日新闻的新闻记者兼工作人员新闻编辑-人工智能的新数据在一份新的报告中呈现。根据NewsRx编辑对罗马尼亚Cluj Napoca的新闻报道,研究表明:"这项研究评估了可能对国家层面人工智能发展产生影响的社会经济和文化因素的影响。"新闻编辑们从babes-bolyai大学的研究中引用了一句话:“这项技术是从全球范围和它的组成部分来评估的:合格的用户、技术能力、法规、社会支持、学术支持、算法和平台、公共当局的支持以及私人的经济倡议。社会经济决定因素包括经济发展和经济增长速度、教育和研发资金、高科技出口城市化、人口和劳动力。文化决定因素由Hofstede的全国综合文化指标表示。可用的数据涵盖了2012年至2022年期间来自各大洲的60个国家。研究方法采用分层聚类和稳健的横截面回归模型,以避免异方差。主要结果表明人均GDP、其增长率、研发资金、以及城市化程度。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on artificial intelligence are presented in a new report. According to news reporting out of Cluj Napoca, R omania, by NewsRx editors, research stated, “This study assesses the impact of s ocioeconomic and cultural factors that are likely to have effects on the develop ment of artificial intelligence at the national level.” The news editors obtained a quote from the research from Babes-Bolyai University : “This technology is evaluated both globally and in terms of its components: qu alified users, technical capabilities, regulations, societal support, academic s upport, algorithms and platforms, support from public authorities, and private e conomic initiatives. Socioeconomic determinants include economic development and the speed of economic growth, funding for education and research and developmen t, high-tech exports, urbanisation, population, and workforce. Cultural determin ants are represented by national aggregate Hofstede’s cultural indicators. The a vailable data cover 60 countries from all continents and the period from 2012 to 2022. The research methodology employs hierarchical clustering and robust cross -sectional regression models to avoid heteroscedasticity. The main results indic ate highly significant effects of GDP per capita, its growth rate, research and development funding, and the degree of urbanisation.”

Key words

Babes-Bolyai University/Cluj Napoca/Ro mania/Europe/Artificial Intelligence/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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