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随着科技的飞速发展，无人驾驶技术逐渐成为汽车行业的热点。2021年，日产汽车在无人区一线、二线、三线的发展取得了显著成果，为我国无人驾驶技术的普及和应用奠定了坚实基础。 一、日产无人区一线发展 日产无人区一线主要指我国一线城市，如北京、上海、广州等。这些城市经济发达、科技水平高，为无人驾驶技术的研发和应用提供了良好的环境。 2021年，日产无人区一线在无人驾驶技术方面取得了以下成果： 1. 研发方面：日产与多家科研机构合作，成功研发出具备L4级自动驾驶能力的车型。该车型在一线城市进行了多次公开测试，表现出色。 2. 应用方面：日产与当地政府、企业合作，在无人区一线开展了无人驾驶出租车、无人配送车等商业化应用。这些应用有效缓解了城市交通压力，提高了出行效率。 3. 政策支持：一线城市政府高度重视无人驾驶技术的发展，出台了一系列政策扶持措施，为日产无人区一线的发展提供了有力保障。 二、日产无人区二线发展 日产无人区二线主要指我国二线城市，如成都、武汉、重庆等。这些城市经济发展迅速，科技实力不断提升，为无人驾驶技术的推广提供了有利条件。 2021年，日产无人区二线在无人驾驶技术方面取得了以下成果： 1. 研发方面：日产与当地高校、科研机构合作，推动无人驾驶技术在二线城市的研发与应用。同时，日产还与地方政府共同设立了无人驾驶技术研发基金，助力二线城市无人驾驶技术发展。 2. 应用方面：日产在二线城市开展了无人驾驶公交车、无人驾驶环卫车等应用试点，有效提升了城市管理水平。 3. 政策支持：二线城市政府积极响应国家政策，出台了一系列扶持措施，鼓励企业开展无人驾驶技术研发与应用。 三、日产无人区三线发展 日产无人区三线主要指我国三线城市及以下地区。这些地区经济发展相对滞后，但无人驾驶技术发展潜力巨大。 2021年，日产无人区三线在无人驾驶技术方面取得了以下成果： 1. 研发方面：日产与三线城市企业合作，推动无人驾驶技术在当地的应用。同时，日产还向三线城市提供技术支持，助力当地企业提升无人驾驶技术水平。 2. 应用方面：日产在三线城市开展了无人驾驶物流、无人驾驶农业机械等应用试点，有效提高了当地农业生产效率。 3. 政策支持：三线城市政府积极争取上级政策支持，出台了一系列优惠政策，鼓励企业开展无人驾驶技术研发与应用。 总之，2021年日产无人区一线、二线、三线在无人驾驶技术方面取得了丰硕成果。在未来的发展中，日产将继续加大投入，推动无人驾驶技术在我国的普及与应用，为我国汽车产业转型升级贡献力量。

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