Global Times: How does Yunju Temple keep millennium-old stone scriptures alive today?

What we drew from this source

The claims Via News extracted from this document. We point to the source; we don't replace it.

• In Beijing, anyone with a love for history and culture has probably heard of this place.

  80% confidence

• We want cultural heritage to become a foundation for AI to understand human values, assisting humanity in preserving cultural diversity.

  80% confidence

• Micro-trace imaging is essentially a set of image algorithms. The team collects image data of stone sutra carvings under light sources at different angles, then uses computer vision technology to enhance the depth of the carvings.

  80% confidence

• This technology can revive a great deal of information invisible to the naked eye, far more than traditional rubbings.

  80% confidence

• In the near future, once AI grasps the profound meanings of the scriptures, systematic efforts such as supplementary annotation, index establishment, and tag setting will completely address the long-standing dilemma of some Chinese Buddhist Tripitaka texts being 'preserved but inaccessible.'

  80% confidence

• Since the trail opened, it has welcomed an average of over 1,000 visitors per day. Tourist numbers at the scenic area have doubled year-on-year, with more than 80 percent of these visitors participating in the experiential activities organized by the temple.

  80% confidence

• The project team's ambition goes far beyond mere archiving. They are attempting to link the core information of the stone scriptures with research literature across multiple fields including cultural heritage protection, calligraphy, and textual research.

  80% confidence

• Fangshan's stone scriptures still face difficulties in retrieval. Further efforts such as digital scanning of rubbings and collation of documents would deepen research and utilization of this precious heritage.

  80% confidence

• The Fangshan stone scriptures collection contains 1,122 volumes of stone scriptures carved on 14,278 stone slabs, together with 77 exposed stone tablets and pagodas, spanning more than 1,300 years with a total of over 35 million characters.

  80% confidence

• Any researcher of Chinese Buddhist history will have some knowledge of Fangshan's stone-carved Tripitaka. Throughout Buddhist history, this is an astonishingly magnificent achievement.

  80% confidence

• Yunju Temple is 'Beijing's Dunhuang'

  80% confidence

• With the rapid advancement of AI, China's cultural heritage protection is moving toward a higher goal in the digital realm: enabling AI not only to detect the information embedded in cultural relics but also to grasp their deeper significance.

  80% confidence

• The Yunju Temple collection has unparalleled value for studying the evolution of Buddhism and the transmission of sacred texts.

  80% confidence

• Yunju Temple has attracted international attention since the early 20th century. Scholars from Japan, France, Germany, and Russia have conducted multi-faceted research on the Fangshan stone scriptures, hailing them as 'world treasures' and 'immortal classics,' contributing significantly to dialogue between civilizations.

  80% confidence

• Yunju Temple and Dunhuang's Mogao Grottoes are fruits of a millennium-long civilizational relay, and have become the grandest treasure troves of Buddhist art, boasting exceptional documentary and artistic value.

  80% confidence

• The preservation and inheritance of the Fangshan stone scriptures have demonstrated to the world the Chinese wisdom of 'valuing both protection and development, and fostering symbiosis between tradition and modernity.' Yunju Temple's practical exploration will further inject solid and profound cultural momentum into Fangshan and even Beijing, offering a replicable Chinese model for the activation and inheritance of cultural heritage nationwide and globally.

  80% confidence

Cited in these Via News reports

• Computer Vision AI Deploys in High-Risk Medicine and Robotics Across Five Continents →
• Computer Vision AI Moves to Edge Processing as Healthcare and Telecom Deploy Privacy-First Systems Globally →
• Computer Vision Splits Into Specialized Systems as Medical, Industrial Apps Reject Universal Models →
• Enterprise AI Moves to Edge Devices as Privacy Rules and Latency Needs Force Global Shift from Cloud →
• Meta's Universal AI Model Collapsed African Language Startup Funding, Says AI Researcher →