极限挑战
创业板跌近2% 航运、油气逆势走强 主板次新股午后活跃 中金一度逼近跌停_涨停_板块_我的网站

一 |

Huang Gang is in his fifties. Every day, he sits before a computer screen at Tianyige Museum (Tianyige), flipping through ancient books - digitally.
As director of the information technology department at Tianyige Museum in Ningbo, East China's Zhejiang Province, home to Asia's oldest surviving private library and one of the world's three oldest remaining family-run libraries, his job title may seem far removed from old books. Yet his work centers on them: converting brittle, thread-bound antique volumes into searchable, zoomable digital files accessible on screen.
For years, Tianyige has carried out digitization in batches guided by its mission: rescue-oriented preservation, scholarly organization and public-oriented outreach. Its teams have scanned more than 3.4 million pages of ancient texts. The institution rolled out its Ancient‑Book Digital Service Platform back in 2009. By 2025, the platform had drawn over 4.6 million total visits.
To outsiders, this might look like a headlong rush into digitization. For Huang and his colleagues, it is delicate work balanced between fast‑evolving artificial intelligence models and the reverence owed to fragile paper relics. "Technology is a tool, ancient books are artifacts, and reading is the ultimate purpose," Huang told the Global Times.

Beyond tech boundaries
Deep in the storage vaults of Tianyige, tens of thousands of ancient volumes rest in silence. Some pages are curled and fragile; others bear faded script -the accumulated marks of centuries. Vulnerable to aging, wear and external damage, these precious paper relics can hardly sustain long-term repeated manual consultation, making digital preservation an indispensable way to inherit ancient book resources.
Huang's daily work involves leading his team in the digitization of the library's entire collection of ancient books, paintings and cultural relics, bringing rare treasures out of the shadows and into public view.
AI now serves as a core auxiliary tool for ancient-book digitization and research. Huang's group initially built character-recognition frameworks based on optical-character-recognition technology. By cross-checking outputs across different models, ancient Chinese characters, damaged script and blurry handwriting.
According to Zhejiang Daily, by August 2025, the Tianyige's digital platform had added over 3,700 new digitized book sets, lifting its total digital holdings past 20,000 volumes.
Digitization is never a purely technical exercise; in-depth scholarly expertise in ancient texts remains indispensable. Huang frequently collaborates with Zhao Xuteng, a museum librarian specializing in classical literature. Zhao is responsible for selecting which volumes to digitize, evaluating editions, studying content, and identifying works of significant academic or public value. While one team focuses on the technical execution, another digs deep into the textual substance, ensuring that cold digital capture remains faithful to the historical and bibliographic logic of the originals.

Staying true to reading
When he is not writing code, Huang keeps asking one fundamental question: What should technology actually do for people? "All technology ultimately serves the act of reading itself," he said. "It can never replace that."
With the rapid rise of large language models, demand for high-quality text corpora has surged. Overseas, some AI companies have reportedly purchased millions of printed books in bulk, scanned them and then shredded the originals.
"Machines can efficiently compile documents, retrieve sources and generate explanatory notes. Real engagement with ancient texts, however, is far more than mechanical assembly of characters," Huang noted.
Both Huang and Zhao stressed that human beings sit at the heart of cultural inheritance. People absorb wisdom from old texts, draw on personal experience and scholarship to reflect, and produce new knowledge - an intellectual process no AI can fully replicate.
The Global Times learned that every digitization workflow at Tianyige follows strict closed-loop protocols: collection checkout logging, noncontact scanning, AI-powered quality checks, precise image stitching and compliant online publication. The full procedure minimizes physical wear on original artifacts.
"A book is, first and foremost, a cultural relic that carries a thousand-year legacy," Huang said. "Only secondarily is it a text to be read." That principle, he added, is shared by all guardians at Tianyige.
"Media change, technologies evolve, but the essence of reading has never changed," he stressed.
Today, drawing on its comprehensive digital collections, Tianyige hosts monthly exhibitions of rare texts and organizes family reading events where parents and children explore the classics together. For Huang and his colleagues, the most gratifying reward is watching more and more ordinary people develop a love for ancient reading and a deeper appreciation for the traditional Chinese culture.
In an era swept by artificial intelligence, Tianyige's guardians tend to fragile paper relics while leveraging modern technology, preserving the genuine power of reading. More than 450 years of scholarly heritage flows onward, passing between human fingertips and glowing digital screens.
。

二 | 截止收盘,沪指跌0.8%,深成指跌1.25%,创业板指跌1.84%。个股跌多涨少,两市超3600股飘绿,今日成交7227亿元,较上个交易日缩量485亿,再创阶段新低。以每日额度余额口径,北向资金截至A股收盘净流入8亿元;以买卖成交额口径,北向资金净卖出14亿元。盘面上,航运、油气等周期板块拉升,免税店等新零售继续走强,汽车整车、大飞机、半导体等板块表现活跃,券商、化工、基建、金属、电力跌幅靠前,充电桩、锂电池、光伏概念回调。

三 | 主板次新股午后逆势活跃,农心科技、长江材料、胜通能源、润贝航科、常润股份等多股涨停。次新股流通市值普遍较小,股本扩张潜力大,容易受到游资关注。航运、油气等周期板块拉升,准油股份、山东墨龙、中远海特、锦州港等封板。

四 | 消息面上,VLCC(超大型油轮)上周环比上涨26%,是上周唯一上涨的原油轮船型。VLCC报价环比前一周上涨26%,达到50111美元/天,其中TD3C(中东-中国)航线上周五(9月9日)环比前一日上涨37%。新零售、免税概念继续活跃,中百集团4连板,徐家汇、大连友谊、天虹股份涨停。消息面上,2022年9月15日至16日,上海合作组织成员国元首理事会第二十二次会议将在乌兹别克斯坦历史名城撒马尔罕举行。大飞机、军工板块再度走强,派克新材涨停,润贝航科此前四连板涨停,航宇科技、航亚科技、立航科技、四川九州、北摩高科等跟涨。

五 | 消息上,C919最快本月取证年内交付,新机交付市场价值或超9万亿元。房地产板块早盘回暖,新华联涨停,中交地产、三湘印象、京投发展、中国武夷、保利发展等纷纷冲高。个股方面,千亿券商中金低开9.8%,一度逼近跌停,收盘跌超9%,同时拖累证券板块走低。消息面上,中金配股预计募集资金不超过人民币270亿元(具体规模视发行时市场情况而定),募资拟用于补充资本金支持各项业务发展,以及补充其他营运资金。

六 | 南玻A竞价一字涨停,天合光能与南玻集团签订高纯硅料长单采购合同,合同约定2023-2026年,向南玻集团采购高纯硅料原料产品,预计采购数量合计为7万吨,预计采购金额合计为212.1亿元。返回搜狐,查看更多责任编辑:
Current article:http://www.cousizhegaobaolengkuo.bond/list_24it/l7ex.html
Published on:01:46:07
