According to recent reports, a team from Tsinghua University utilized the Aminer data analysis platform to release a comprehensive report titled "AI and Autonomous Driving Research Report." This study explores the cross-disciplinary innovations between artificial intelligence and automotive research, covering key aspects such as AI technology origins, research genres, and global trends. The report aims to provide an in-depth understanding of how AI is shaping the future of the automotive industry.
Recently, the Aminer team at Tsinghua University launched the "AI and Autonomous Driving Research Report" using their advanced data analytics tools. As of the publication date, the report consists of 66 pages, though the project lead, Tang Jie, mentioned that it originally contained around 100 pages. This detailed document offers valuable insights into the evolving landscape of AI and its integration with autonomous driving technologies.
According to the reporter’s understanding, the report is divided into three main sections: "AI Articles," "Car Articles," and "AI + Car Articles." The "AI Articles" section covers the definition, origin, and development of AI, along with global distributions of AI scholars, research genres, and current trends in AI development, particularly within China. The "Car Articles" part analyzes global and regional trends in automotive research, including the distribution of scholars and key technological developments. The final section, "AI + Car," presents a cross-innovative Cartesian analysis of AI and automotive research, offering a visual representation of past hot topics and future trends over the next three years. This article focuses on the "AI Articles" portion of the report.
For more detailed information, readers are encouraged to refer to the full original report.
The term "Artificial Intelligence" was first officially introduced during the two-month Dartmouth Conference held in 1956, marking the official emergence of AI as a scientific discipline. Since then, the field has grown rapidly, becoming one of the most influential areas of technological advancement in the modern era.
The source of AI technology is reflected in the trend graph, where the width of each bar represents the level of research interest in different eras. The ranking of researchçƒåº¦ (heat) for each year is displayed from top to bottom, illustrating the evolution of AI research over time.
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