绘制生成性人工智能的技术演变:专利网络分析.
Navid Mohammadi1, Jalil Heidary Dahooie2, Amir Ali Bengari3
1College of Management, University of Tehran, Tehran, Iran.
Scientific reports
|December 26, 2025
概括
生成型人工智能 (GAI) 专利分析显示,2016年以后将从模块化创新向集成框架的转变. 新兴趋势侧重于人工智能框架,医学成像和个性化系统,突出社会影响.
科学领域:
- 计算机科学 计算机科学
- 人工智能的人工智能
- 创新研究 研究 创新研究
背景情况:
- 生成型人工智能 (GAI) 正在迅速发展,需要对其创新格局有明确的了解.
- 对利益相关者来说,绘制技术演变的地图对于导航GAI进步至关重要.
研究的目的:
- 通过使用专利网络分析,系统地绘制生成人工智能 (GAI) 的技术演变和创新格局.
- 确定关键的技术领域,追踪概念转变,并突出GAI的新兴趋势.
主要方法:
- 来自Lens.org.org.的2万多项专利的大规模分析.
- 应用文本挖掘,网络建模和社区检测技术.
- 在三个不同的时间段进行分析:2016年之前,2016年至2020年以及2021年至2025年.
主要成果:
- 2016年后发生了重大转变,从模块化,特定领域的创新转向综合生成框架和多模式能力.
- 2016年后的时代显示出专利的快速增长,概念多样性的增加和子领域的融合.
- 新兴的集群包括生成性AI框架,先进的医学成像,个性化交互式系统,媒体身份验证和保护隐私的AI.
结论:
- 该研究为研发领导者,政策制定者和投资者提供了一份路线图,以在动态的GAI环境中导航.
- 对内容真实性和用户个性化的日益关注反映了技术成熟度和社会关注之间的相互作用.
- 未来的研究应该探索多语言和含义丰富的分析,以获得更全面的理解.
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