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,20250920 22:43:33 董韵磬 653

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标题:时间管理的艺术:提升效率的个人心得 在快节奏的现代生活中,时间管理成为了一个至关重要的技能。它不仅关系到我们的工作效率,也直接影响到我们的生活质量。通过实践和学习,我逐渐掌握了一些时间管理的技巧,并在此分享我的个人心得。 首先,制定计划是时间管理的基石。每天早晨,我会花上几分钟时间来规划一天的工作和活动。这样做可以帮助我清晰地了解当天的任务,并按照优先级进行排序。通过这种方式,我能够确保重要且紧急的任务得到优先处理,从而避免在紧急情况下手忙脚乱。 其次,我学会了区分任务的紧急性和重要性。这让我能够更好地分配时间和精力,避免在不重要的事情上浪费太多时间。例如,我会将任务分为四个象限:紧急且重要、重要但不紧急、紧急但不重要、既不紧急也不重要。这样分类后,我就可以更加有针对性地处理每一项任务。 再者,我意识到了休息的重要性。长时间的工作会导致效率下降,因此我学会了在工作间隙进行短暂的休息。这种“工作-休息”的循环模式有助于保持精力充沛,提高工作效率。我通常会在工作一段时间后,进行5到10分钟的休息,这有助于我恢复精力,重新集中注意力。 此外,我还学会了利用技术工具来辅助时间管理。例如,使用日历应用来记录会议和截止日期,使用待办事项列表来跟踪任务进度。这些工具帮助我更好地组织和跟踪任务,确保我不会遗漏任何重要的事项。 最后,我认为持续学习和自我反思是提高时间管理能力的关键。我会定期回顾自己的时间管理方法,看看哪些有效,哪些需要改进。通过不断学习和调整,我能够找到最适合自己的时间管理策略。 总结来说,时间管理是一门需要不断学习和实践的艺术。通过制定计划、区分任务的紧急性和重要性、合理安排休息时间以及利用技术工具,我们可以更有效地管理时间,提高工作效率和生活质量。希望我的这些心得能够帮助到正在寻求提高时间管理能力的你。

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
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