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制皮，这一古老的工艺，承载着中华民族几千年的智慧与匠心。从古至今，皮具一直是人们生活中不可或缺的物品，而制皮工艺也随着时代的发展而不断演变，逐渐成为一门融合传统与现代的技艺。 制皮工艺起源于我国古代，最初主要用于制作皮革衣物、鞋帽等生活用品。随着时间的推移，制皮工艺逐渐发展壮大，形成了独具特色的行业。如今，制皮工艺已经渗透到生活的方方面面，从时尚配饰到家居用品，都离不开制皮工艺的精湛技艺。 制皮工艺主要包括选皮、鞣皮、染色、剪裁、缝制等环节。选皮是制皮工艺的第一步，优质的皮革是制作高品质皮具的基础。选皮时，制皮师会根据皮具的用途和风格，挑选合适的皮革。如制作皮鞋，则需选用柔软、耐磨的皮革；制作皮包，则需选用纹理美观、手感舒适的皮革。 鞣皮是制皮工艺中的关键环节，它关系到皮革的耐用性和美观度。传统的鞣皮方法主要采用植物鞣剂，如树皮、根皮等。经过鞣皮处理后的皮革，不仅具有优良的防水、透气性能，而且色泽更加鲜艳。随着科技的发展，现代制皮工艺逐渐采用化学鞣剂，提高了皮革的加工速度和品质。 染色是制皮工艺中的一项重要工序，它决定了皮具的色彩和风格。传统的染色方法主要是手工操作，制皮师会根据设计要求，将染料均匀涂抹在皮革上，经过晾晒、烘烤等工序，使皮革呈现出丰富的色彩。现代制皮工艺中，染色技术得到了极大的提升，如采用数码喷绘技术，可以轻松实现个性化定制。 剪裁是制皮工艺中的精细活，制皮师需要根据皮具的设计图纸，将皮革剪裁成所需的形状和尺寸。这一环节对制皮师的技艺要求极高，不仅需要精确的测量和裁剪，还要保证皮革的纹理和颜色搭配协调。 缝制是制皮工艺的最后一道工序，也是展现制皮师技艺的关键环节。传统的缝制方法主要是手工缝制，制皮师会根据皮具的结构和功能，选择合适的缝线、针法，使皮具既美观又实用。现代制皮工艺中，缝制技术也得到了很大的改进，如采用电脑缝纫机，提高了缝制效率和品质。 在传统与现代的交融中，制皮工艺不断焕发出新的生命力。如今，制皮工艺已经从单一的生活用品制作，拓展到时尚配饰、家居用品、汽车内饰等多个领域。在追求个性化、高品质生活的今天，制皮工艺成为了一种时尚的象征。 然而，随着工业化进程的加快，传统制皮工艺面临着传承与发展的挑战。为了保护这一珍贵的文化遗产，我国政府和社会各界纷纷采取措施，加强对制皮工艺的保护和传承。一方面，通过举办制皮工艺培训班、展览等活动，提高人们对传统制皮工艺的认识和兴趣；另一方面，鼓励制皮师创新，将传统技艺与现代设计相结合，为制皮工艺注入新的活力。 总之，制皮工艺作为一门古老的技艺，在我国有着悠久的历史和丰富的文化内涵。在传统与现代的交融中，制皮工艺将继续传承与发展，为我们的生活带来更多美好的体验。

TMTPOST --   Chinese telecommunications giant Huawei unveiled a sweeping expansion of its artificial intelligence computing ambitions on Thursday, announcing new supercomputing systems powered by its in-house Ascend chips. The move signals escalating competition with U.S. chipmaker Nvidia, the global leader in AI processors.AI-generated imageAt its annual Huawei Connect conference in Shanghai, the company introduced the forthcoming "Atlas 950 SuperCluster," which it said will begin rolling out as early as next year. The announcement underscores Huawei ’ s determination to challenge U.S. dominance in advanced AI hardware despite Washington ’ s tightening export controls on semiconductors."The competition has undeniably arrived and is gaining momentum," an Nvidia spokesperson said. "Customers will choose the best technology stack for running the world ’ s most popular commercial applications and open-source models."U.S. restrictions have cut China off from the most advanced chips needed to train large-scale AI models, forcing Chinese firms to rely on domestically developed processors or stockpiles of older foreign components. Huawei, long targeted by U.S. sanctions, has turned to large-scale clustering of its less powerful but increasingly refined Ascend processors. By combining vast numbers of these chips in interconnected networks, the company aims to match or surpass the performance of systems built on Nvidia ’ s hardware.Huawei said it plans to release three new versions of its Ascend chips through 2028, pledging to double computing power with each iteration. At the base level, its new Atlas 950 supernode will connect 8,192 Ascend chips. A full Atlas 950 SuperCluster would integrate more than 500,000 chips.A future upgrade, the Atlas 960 system slated for 2027, is projected to support nearly 15,500 chips per node and scale to more than 1 million Ascend processors across a full supercluster. Huawei claimed these would represent the world ’ s most powerful AI systems by raw computing power.Huawei did not shy away from comparisons with its American rival. Eric Xu, the company ’ s vice chairman and rotating chairman, said the Atlas 950 supernode would deliver 6.7 times more computing power than Nvidia ’ s upcoming NVL144 system. He went further, predicting Huawei would "be ahead on all fronts" compared with Nvidia ’ s 2027 offering — and claimed the Atlas 950 SuperCluster would even exceed the computing capacity of Elon Musk ’ s xAI Colossus project.While independent verification of Huawei ’ s claims is limited, industry experts said the company ’ s ambition is clear."Huawei ’ s announcement on its computing breakthrough is well timed with recent increasing emphasis by the Chinese government on self-reliance on China ’ s own chip technologies," said George Chen, partner and co-chair of the digital practice at The Asia Group. While noting that Huawei might be overstating its technical edge, he added, "the ambition to be a world AI leader cannot be underestimated."Research from SemiAnalysis earlier this year found that Huawei ’ s CloudMatrix system outperformed Nvidia ’ s equivalent despite each Ascend processor offering only about one-third the power of an Nvidia chip. The advantage came from scale: Huawei deployed roughly five times as many chips in its clusters."Computing power has and will continue to be the key for AI," Xu emphasized during his keynote speech in Shanghai.Huawei ’ s new announcements build on earlier efforts. Two years ago, it introduced the Atlas 900 SuperCluster, which it still markets with "thousands" of Ascend chips. On Thursday, the company said it had already deployed more than 300 Atlas 900 A3 supernodes to over 20 clients across telecoms, manufacturing, and other sectors.This momentum reflects a broader push within China to substitute foreign technology with homegrown alternatives. Beijing has increasingly pressed domestic firms to use local suppliers and invest in national semiconductor capabilities. Huawei ’ s breakthroughs are likely to be touted as proof of progress in these efforts.Huawei ’ s offensive comes as Nvidia faces growing headwinds in China, once one of its most important markets. Earlier this week, China extended an antitrust probe into the U.S. company over alleged monopolistic practices. On Wednesday, Nvidia ’ s shares fell more than 2% after the Financial Times reported that Beijing had ordered Chinese tech giants to halt testing and purchases of the RTX Pro 6000D, one of Nvidia ’ s new AI-focused chips.Nvidia Chief Executive Jensen Huang expressed frustration over the developments. "I am disappointed to hear this news," he told reporters, while reiterating that Huawei represents a "formidable" competitor.The geopolitical context adds another layer of complexity. The U.S. and China concluded trade talks in Spain this week that reportedly included discussions over the fate of TikTok, the video app owned by Beijing-based ByteDance. But technology co