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本周数据平台近日官方渠道公开最新动态:本月相关部门传达最新政策,《LOL龙女打野天赋解析：如何打造强大的龙女战士？》

在《英雄联盟》（League of Legends，简称LOL）这款游戏中，龙女（Leona）作为一位强大的坦克英雄，在打野位置上也有着出色的表现。龙女的天赋搭配对于她的游戏表现至关重要。本文将深入解析LOL龙女打野天赋，帮助玩家打造出强大的龙女战士。 一、龙女打野天赋选择 1. 主系天赋：坚决 在主系天赋方面，龙女打野主要选择坚决系。坚决系天赋可以为龙女提供额外的生存能力和控制能力，使她在野区生存更加游刃有余。 （1）护盾猛击：提供护盾效果，使龙女在受到伤害时有一定几率触发护盾。 （2）硬化皮肤：增加龙女的生命偷取和护甲穿透，提高她的输出能力。 （3）生命源泉：增加龙女的生命回复速度，使其在野区生存能力更强。 （4）硬化：提供额外的护甲和魔法抗性，增强龙女的生存能力。 2. 副系天赋：启迪 在副系天赋方面，龙女打野主要选择启迪系。启迪系天赋可以为龙女提供额外的冷却缩减和法力回复，使她在游戏中更加灵活。 （1）星界洞悉：增加龙女的技能冷却缩减，提高她的技能释放频率。 （2）法力流系带：增加龙女的法力回复速度，使其在长时间战斗中保持良好的状态。 二、龙女打野天赋搭配技巧 1. 技能搭配 （1）Q技能：龙之怒。龙女的主要输出技能，可以对敌人造成魔法伤害并减速。 （2）W技能：龙之跃。龙女向指定方向跳跃，对敌人造成魔法伤害。 （3）E技能：龙之护盾。龙女为自己或队友提供一个护盾，减少受到的伤害。 （4）R技能：龙之怒。龙女召唤龙神，对敌人造成大量魔法伤害。 2. 天赋搭配技巧 （1）主系坚决天赋：在主系坚决天赋中，护盾猛击和硬化皮肤是龙女打野的核心天赋。它们可以为龙女提供足够的生存能力和输出能力。 （2）副系启迪天赋：在副系启迪天赋中，星界洞悉和法力流系带可以为龙女提供足够的冷却缩减和法力回复，使她在游戏中更加灵活。 三、龙女打野实战技巧 1. 野区发育 龙女在野区发育时，应优先清理野怪，积累经济和经验。在野区遭遇敌人时，可以利用W技能和E技能进行位移和护盾，提高生存能力。 2. 团战定位 在团战中，龙女应站在后排，利用Q技能和R技能对敌人造成大量魔法伤害。同时，利用E技能为队友提供护盾，提高团队生存能力。 3. 团战时机 在团战中，龙女应把握住敌人技能真空期，利用R技能召唤龙神，对敌人造成致命打击。 总之，龙女打野天赋搭配对于她的游戏表现至关重要。通过合理的天赋搭配和实战技巧，玩家可以打造出强大的龙女战士，在《英雄联盟》的战场上所向披靡。

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