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中国首部古籍保护利用地方性法规施行 50万册民族古籍获依法保护
Xin Hua She· 2026-01-02 14:06
据介绍,四川普查发现汉文古籍约23万部187万册、民族古籍约50万册,数量居全国前列。根据条例内 容,四川省民宗委制定了《四川省少数民族古籍保护与利用专项实施方案》。 "我们将引入无损检测、AI图像识别等技术手段以及新的修复材料,并推动民族古籍数字资源库与管理 服务平台建设。"四川省民族宗教事务委员会二级巡视员蔡钦说,下一步将组织专家对重要少数民族古 籍进行汉文译注、校勘和通俗化解读,出版面向大众的普及读物,并积极开发系列文创产品,充分让少 数民族古籍"活起来";还将联合高校加强民族古籍的研究阐释和学科建设,与收藏单位共建民族古籍实 践基地,保障人才队伍传承。 条例规定建立古籍征集制度,其中包括古籍雕版。"这意味着雕版被正式纳入法律保护范畴。"四川省甘 孜藏族自治州德格县文物考古研究所所长周雪松说。 位于该县的德格印经院完整保存古印版和画版等雕版档案32万余块,囊括了11世纪以来的各类重要藏文 经典文献,内容涵盖佛学经典、天文历算、诗歌音韵等传统文化的各个方面。 新华社成都1月2日电 《四川省古籍保护利用条例》1日起正式施行,这是中国首部专门的古籍保护利用 地方性法规。记者从四川省人大常委会获悉,四川省多部门 ...
杭州ai图像识别的重点技术
Sou Hu Cai Jing· 2025-05-13 12:54
Core Insights - Hangzhou is a leading city in China for AI image recognition technology, showcasing its strength and potential in this field [1] Group 1: Key Technologies - Deep learning and neural networks are the core of Hangzhou's AI image recognition technology, enabling accurate image content recognition through multi-layered neural networks [3] - Convolutional Neural Networks (CNN) are widely applied in Hangzhou's AI image recognition, effectively extracting spatial features and hierarchical information for tasks like facial recognition and object detection [4] - Generative Adversarial Networks (GAN) are utilized in Hangzhou for data augmentation and image restoration, enhancing model generalization and robustness [5] - Transfer learning and weak supervision learning address data scarcity and label shortage in image recognition tasks, improving model performance and scalability in Hangzhou's AI technology [6] Group 2: Conclusion - The continuous innovation and application of deep learning, CNN, GAN, transfer learning, and weak supervision learning have led to significant achievements in Hangzhou's AI image recognition field, laying a solid foundation for future development [7]
18岁高中生开发APP年入上亿,却被15所名校拒收?网友质疑上学是为了退学~
菜鸟教程· 2025-04-23 11:09
最近,一位年仅 18 岁的高中生扎克·亚德加里(Zach Yadegari)在他的社交平台上透露 申请的 18 所大学中有 15 所顶尖名校拒绝了他。 之前他开发的 AI 卡路里追踪应用 "Cal AI" 取得巨大成功, 下载量超过 100 万,年收入更是一度逆天达到 3000 万美元,折合人民币逾2亿元。 GPA 4.0、ACT 34分(满分 36),远超多数藤校录取标准, 18 所申请大学中,15 所顶尖院校(包括 8 所常春藤)均发来拒信,仅佐治亚理工 学院等三所院校伸出橄榄枝。 Zach Yadegari 7 岁自学编程,12 岁推出首个应用,16 岁以 10 万美元出售自研网页游戏公司。 17 岁创立 Cal AI ,这是一款基于AI图像识别的卡路里追踪应用,用户拍照即可计算热量。 Make calorie tracking easy with Al Cal Al 1250 Just snap a picture of your food Just snap a picture of your food 9-30 (← Then let us do the rest Cal AI 应用上线一年下载量 ...
18岁高中生开发APP年入上亿,却被15所名校拒收?网友质疑上学是为了退学~
菜鸟教程· 2025-04-23 11:09
Group 1 - The core viewpoint of the article highlights the unexpected rejection of Zach Yadegari, an 18-year-old high school student and successful entrepreneur, from 15 out of 18 top universities despite his impressive academic credentials and the success of his AI calorie tracking app, Cal AI [1][11]. Group 2 - Cal AI, founded at the age of 17, is an AI-based calorie tracking application that allows users to calculate calories by simply taking a photo of their food [2]. - Within a year of its launch, Cal AI achieved over 3 million downloads and generated annual revenue of $24 million, earning recognition from Forbes as a "star product challenging traditional industries" [3]. - The app provides features for users to track their calorie intake and set health goals, including weight targets and calorie consumption [4]. - Additionally, Cal AI offers nutritional information about food, including protein, fat, and carbohydrate content, along with a health score [5].