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本周数据平台稍早前行业报告:本月研究机构发布新研究成果,女性晚上独自练车：安全与适宜性的探讨

随着社会的发展，女性在各个领域的参与度越来越高，汽车驾驶也不例外。越来越多的女性开始学习驾驶，并选择在晚上进行练车。然而，关于女性晚上练车是否合适，社会上存在不同的声音。本文将从安全、适宜性和心理等方面探讨女性晚上练车的相关问题。 首先，从安全角度来看，女性晚上练车存在一定的风险。夜间能见度较低，道路状况复杂，容易发生交通事故。此外，夜间行车的车辆和行人相对较少，但这也意味着一旦发生事故，救援时间可能较长。然而，只要采取适当的预防措施，女性晚上练车仍然可以保证安全。 1. 选择熟悉的环境：女性在晚上练车时，应尽量选择熟悉的环境，减少因不熟悉路况而导致的危险。 2. 配备必要的装备：夜间行车时，应配备反光背心、三角警示牌等安全装备，确保在发生事故时能及时提醒其他车辆。 3. 保持警惕：夜间行车时，女性驾驶员应保持高度警惕，注意观察周围环境，避免因分心而引发事故。 其次，从适宜性角度来看，女性晚上练车具有一定的优势。夜间练车有助于提高驾驶技能，特别是在夜间行车时，驾驶员需要更加集中注意力，这对于提高驾驶水平具有重要意义。 1. 提高驾驶技能：夜间行车时，驾驶员需要应对不同的路况和突发状况，这有助于提高驾驶技能。 2. 培养心理素质：夜间行车需要较强的心理素质，女性在晚上练车可以锻炼自己的心理承受能力。 然而，也有观点认为女性晚上练车可能存在不适。以下是一些可能的不适因素： 1. 照明不足：夜间行车时，道路照明不足，可能会给女性驾驶员带来不适。 2. 安全感不足：夜间行车时，女性可能会感到孤独和不安，影响练车效果。 针对以上问题，以下是一些建议： 1. 选择合适的练车时间：女性在晚上练车时，可以选择人流量较少的时间段，如晚上9点以后。 2. 与教练保持沟通：在练车过程中，女性驾驶员应与教练保持密切沟通，及时解决遇到的问题。 3. 增强自信心：女性驾驶员应树立自信心，相信自己有能力应对夜间行车。 总之，女性晚上练车既有利也有弊。在确保安全的前提下，女性可以根据自身情况选择是否在晚上练车。同时，社会各界也应关注女性驾驶员的需求，为他们提供更好的练车环境和条件。

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