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在亚洲地区，码一码、码二码、码三码是三种常见的编码方式，它们在信息处理、数据传输和身份认证等方面有着广泛的应用。本文将详细介绍这三种码的区别及其应用场景。 ### 一、码一码 码一码，也称为一维码，是一种传统的条形码。它由黑白相间的条纹组成，通过扫描器读取条纹的宽度、间隔和颜色，从而识别编码信息。码一码具有以下特点： 1. 结构简单：码一码的编码规则相对简单，易于制作和识别。 2. 信息容量小：由于编码结构限制，码一码的信息容量较小，一般用于商品标识、库存管理等场景。 3. 抗干扰能力强：码一码具有一定的抗干扰能力，可在一定程度上抵御外界环境的影响。 码一码的应用场景主要包括： - 商品标识：如超市、便利店等场所的商品条形码。 - 库存管理：企业对库存物品进行标识和管理。 - 门票管理：如电影票、演唱会门票等。 ### 二、码二码 码二码，也称为二维码，是一种包含数字、字母、符号等信息的图形化编码。与码一码相比，码二码具有以下特点： 1. 信息容量大：码二码可以存储更多的信息，如网址、联系方式、二维码链接等。 2. 抗损性强：码二码具有较强的抗损性，即使部分损坏也能被识别。 3. 适用范围广：码二码适用于各种场景，如手机支付、信息传递、身份认证等。 码二码的应用场景主要包括： - 手机支付：如支付宝、微信支付等。 - 信息传递：如名片、宣传册等。 - 身份认证：如身份证、驾驶证等。 ### 三、码三码 码三码，也称为三码合一，是将码一码、码二码和RFID技术相结合的一种新型编码方式。它具有以下特点： 1. 信息丰富：码三码可以同时存储码一码、码二码和RFID信息，实现信息的多维度管理。 2. 识别速度快：码三码结合了多种识别技术，识别速度更快。 3. 应用场景广泛：码三码适用于物流、仓储、资产管理等领域。 码三码的应用场景主要包括： - 物流管理：如快递包裹、货物追踪等。 - 仓储管理：如库存盘点、货架管理等。 - 资产管理：如设备管理、资产管理等。 ### 总结 亚洲码一码、码二码、码三码在信息处理、数据传输和身份认证等方面具有广泛的应用。了解这三种码的区别及其特点，有助于我们更好地选择和应用合适的编码方式，提高工作效率和安全性。随着科技的不断发展，相信未来会有更多新型编码方式出现，为我们的生活带来更多便利。

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