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在现代社会，沟通技巧的重要性不言而喻。无论是在职场中与同事协作，还是在日常生活中与朋友和家人相处，良好的沟通能力都是维系和谐关系的关键。本文将探讨沟通技巧的重要性，并提供一些实用的建议，以帮助读者提升自己的沟通能力。 首先，沟通是信息传递的桥梁。在工作场合，有效的沟通能够确保团队成员之间的信息流通无阻，从而提高工作效率和项目成功率。例如，通过清晰地表达自己的想法和需求，可以减少误解和冲突，促进团队合作。在个人生活中，良好的沟通能够帮助我们更好地理解他人的感受和需求，从而建立更深层次的人际关系。 其次，沟通技巧的提升有助于个人成长。通过学习如何倾听他人的观点和感受，我们可以变得更加包容和理解。这种能力不仅能够改善我们的社交生活，还能够在职业发展中发挥重要作用。例如，能够准确理解客户的需求和期望，可以帮助我们提供更优质的服务，从而在竞争激烈的市场中脱颖而出。 为了提升沟通技巧，我们可以采取以下几个步骤： 倾听：倾听是沟通的第一步。在对话中，我们应该给予对方充分的注意力，避免打断，并通过肢体语言和口头反馈表明我们在认真倾听。 清晰表达：在表达自己的观点时，我们应该尽量使用简洁明了的语言，避免使用复杂的术语或模糊不清的表达。 非语言沟通：除了言语之外，我们的肢体语言、面部表情和语调也是沟通的重要组成部分。通过保持开放的姿态和友好的表情，我们可以传达出积极和合作的态度。 反馈：在对话结束后，给予对方积极的反馈可以增强双方的关系。这不仅能够让对方感到被重视，还能够鼓励他们在未来继续与你沟通。 持续学习：沟通技巧不是一成不变的，我们需要不断地学习和适应。通过阅读相关书籍、参加沟通技巧培训课程，或者向他人学习，我们可以不断提升自己的沟通能力。 总之，沟通技巧对于个人和职业发展都至关重要。通过倾听、清晰表达、非语言沟通、反馈和持续学习，我们可以逐步提升自己的沟通能力，从而在各种场合中更加游刃有余。个人建议，每个人都应该将沟通技巧视为一项重要的技能，不断地投入时间和精力去提升和完善。

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