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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。它不仅关系到我们能否在工作和个人生活中取得平衡,还直接影响到我们的幸福感和成就感。以下是我对时间管理的一些个人心得和建议。 首先,明确目标是时间管理的基石。在开始一天的工作之前,花几分钟时间列出当天需要完成的任务。这样做可以帮助我们集中精力,避免在不重要的事情上浪费时间。通过设定清晰的目标,我们可以更有针对性地分配时间和精力。 其次,优先级排序是提高效率的关键。面对众多任务时,我们往往感到无从下手。这时,区分任务的紧急性和重要性就显得尤为重要。紧急且重要的任务应该优先处理,而那些不紧急也不重要的任务可以暂时搁置。通过合理排序,我们可以确保在有限的时间内完成最关键的工作。 再者,避免多任务处理。虽然我们常常认为自己能够同时处理多个任务,但实际上,这种做法往往会降低工作效率。专注于单一任务,直到完成,可以让我们更深入地思考问题,提高工作质量。一旦习惯了这种工作方式,我们会发现,完成工作的速度和质量都有了显著提升。 此外,休息和放松同样重要。长时间高强度的工作会导致疲劳和效率下降。适时的休息可以帮助我们恢复精力,保持清晰的思维。短暂的休息,如散步、冥想或进行轻松的对话,都是很好的放松方式。 最后,反思和调整是持续进步的动力。每天结束时,回顾一下当天的时间管理情况,思考哪些地方做得好,哪些地方需要改进。通过不断的反思和调整,我们可以逐渐找到最适合自己的时间管理方法。 总之,时间管理是一门需要不断学习和实践的艺术。通过明确目标、合理排序、专注单一任务、适时休息和反思调整,我们可以更有效地利用时间,提高工作效率,享受更加充实和平衡的生活。
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