本月行业协会发布重大动态,《英雄联盟薇恩出装攻略:打造最强ADC,轻松收割战场!》

,20250927 01:11:27 董萧曼 914

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可视化故障排除专线:昨日行业报告发布重要成果,《英雄联盟薇恩出装攻略:打造最强ADC,轻松收割战场!》

在《英雄联盟》这款游戏中,薇恩是一位极具代表性的ADC英雄,以其出色的爆发伤害和机动性而备受玩家喜爱。作为一名优秀的ADC,薇恩的出装对于她的战斗力有着至关重要的影响。今天,我们就来为大家详细解析一下薇恩的出装攻略,帮助大家在战场上轻松收割战场! 一、核心装备 1. **破败王者之刃**:作为薇恩的核心装备之一,破败的被动效果能够为薇恩提供额外的攻击力和生命偷取,同时还有减速效果,使薇恩在追击和逃生时更加得心应手。 2. **幽梦之灵**:幽梦的被动效果可以让薇恩在攻击时获得额外的攻击速度和移动速度,同时还有减速效果,使得薇恩在团战中能够更好地切入和撤退。 3. **无尽之刃**:无尽之刃的被动效果可以让薇恩在攻击时增加暴击率和暴击伤害,使得薇恩的爆发伤害得到显著提升。 4. **饮血剑**:饮血剑的被动效果可以让薇恩在攻击时恢复生命值,提高薇恩的生存能力。 5. **水银饰带**:水银饰带的被动效果可以减少控制效果,使得薇恩在团战中更加灵活。 二、补充装备 1. **破败王者之刃**:在核心装备的基础上,继续提升薇恩的攻击力和生命偷取。 2. **幽梦之灵**:提高薇恩的攻击速度和移动速度,使她在团战中更加灵活。 3. **无尽之刃**:进一步提升薇恩的爆发伤害。 4. **饮血剑**:增加薇恩的生存能力,使其在战斗中更加持久。 5. **水银饰带**:减少控制效果,提高薇恩的生存能力。 三、出装顺序 1. **破败王者之刃**:作为薇恩的核心装备,优先购买。 2. **幽梦之灵**:在购买破败王者之刃后,紧接着购买幽梦之灵。 3. **无尽之刃**:在购买幽梦之灵后,购买无尽之刃。 4. **饮血剑**:在购买无尽之刃后,购买饮血剑。 5. **水银饰带**:在购买饮血剑后,购买水银饰带。 四、实战技巧 1. **利用被动技能**:薇恩的被动技能“暗影突袭”可以在攻击时增加攻击速度和移动速度,合理运用这个技能可以在战斗中取得优势。 2. **走位技巧**:作为一名ADC,薇恩的走位非常重要。在战斗中,要时刻注意自己的位置,避免被敌方英雄集火。 3. **团战定位**:在团战中,薇恩要找准时机切入敌方后排,利用爆发伤害击杀敌方脆皮英雄。 4. **注意视野**:在游戏中,要时刻关注地图,确保自己的安全。 总结: 通过以上出装攻略,相信大家在游戏中能够更好地运用薇恩这位英雄。只要合理搭配装备,掌握实战技巧,薇恩一定能够在战场上轻松收割战场,成为战场上的ADC之王!

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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