一个全球数据集,绘制人工智能创新的地图,从学术研究到工业专利
Haixing Gong1,2, Hui Zou1,3, Xingzhou Liang1
1Shanghai Artificial Intelligence Laboratory, Shanghai, 200232, P. R. China.
Scientific data
|July 18, 2025
概括
深度创新AI是一个新的全球数据集,绘制人工智能 (AI) 创新和技术转让的地图. 它使用先进的AI技术来分析专利和出版物,揭示关键趋势和合作机会.
科学领域:
- 计算机科学 计算机科学
- 数据科学数据科学数据科学
- 创新研究 研究 创新研究
背景情况:
- 人工智能 (AI) 创新和技术转让对经济增长至关重要.
- 现有的数据基础设施是分散的,不完整的,缺乏评估能力.
- 需要全面的数据集来分析AI发展模式.
研究的目的:
- 介绍DeepInnovationAI,这是一个新的全球数据集,用于分析人工智能创新和技术转让.
- 为了解人工智能发展模式和国际竞争提供坚实的基础.
- 为研究人员,政策制定者和行业领导者确定潜在的合作机会.
主要方法:
- 利用大型语言模型,多语言文本分析和双层BERT分类器来识别与AI相关的内容.
- 利用超图分析生成全面的创新指标.
- 应用语义向量近距离分析来创建用于识别知识流的纸张-专利对.
主要成果:
- 开发了DeepPatentAI.csv (2.3M+的专利记录) 和DeepDiveAI.csv (3.5M+的学术出版物).
- 创建了DeepCosineAI.csv,链接了3.5M+相关的纸张-专利对.
- 建立了一个数据集,具有广泛的时间和地理范围,用于详细分析.
结论:
- 深度创新AI为绘制AI创新和技术转让提供了一个强大的工具.
- 数据集有助于预测趋势和识别合作机会.
- 它为建模复杂的人工智能创新和知识传播过程提供了基础.
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