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在当今这个知识爆炸的时代，学生要想在学业上取得优异的成绩，不仅需要勤奋努力，更需要掌握科学的学习方法。从自学到高效率，以下25种方法可以帮助学生提升学习效果，实现学业上的突破。 1. **制定学习计划**：合理安排时间，制定详细的学习计划，确保每天有充足的学习时间。 2. **明确学习目标**：设定短期和长期的学习目标，使学习更有方向。 3. **主动学习**：培养自主学习能力，主动寻找学习资源，拓宽知识面。 4. **做好笔记**：上课认真听讲，做好笔记，便于复习和巩固。 5. **合理分配学习任务**：根据学习任务的重要性、难度和完成时间，合理分配学习任务。 6. **积极参与课堂讨论**：在课堂上积极发言，与老师和同学互动，提高学习兴趣。 7. **利用网络资源**：充分利用网络资源，如在线课程、教育论坛等，丰富学习内容。 8. **阅读经典书籍**：阅读经典书籍，提高自己的文学素养和知识储备。 9. **参加学习小组**：与同学组成学习小组，互相帮助，共同进步。 10. **定期复习**：定期复习所学知识，巩固记忆，避免遗忘。 11. **做好预习**：课前预习，了解课程内容，提高课堂学习效率。 12. **掌握学习方法**：根据学科特点，掌握适合自己的学习方法。 13. **培养良好的学习习惯**：养成良好的学习习惯，如按时作息、保持学习环境整洁等。 14. **学会时间管理**：合理安排时间，提高时间利用率。 15. **培养逻辑思维能力**：通过解题、讨论等方式，提高逻辑思维能力。 16. **关注时事政治**：关注时事政治，提高自己的综合素质。 17. **参加实践活动**：参加实践活动，将所学知识应用于实际。 18. **学会总结归纳**：对所学知识进行总结归纳，形成自己的知识体系。 19. **培养创新精神**：敢于质疑，勇于创新，提高自己的创新能力。 20. **学会求助**：遇到困难时，及时向老师、同学或家长求助。 21. **保持身心健康**：保持良好的作息，锻炼身体，提高学习效率。 22. **学会合作**：学会与同学、老师合作，共同完成任务。 23. **培养团队精神**：在团队中发挥自己的优势，为团队贡献力量。 24. **关注自身成长**：关注自己的成长，不断提高自己的综合素质。 25. **树立正确的人生观**：树立正确的人生观，明确自己的人生目标。 总之，从自学到高效率，学生需要不断探索适合自己的学习方法，养成良好的学习习惯，提高自己的综合素质。通过以上25种方法，相信学生能够在学业上取得优异的成绩，为实现自己的人生目标奠定坚实基础。

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