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刚刚科研委员会公布突破成果:本月行业报告传递新变化,欧美MV与日韩MV的差异化对比：以动漫元素为例

在当今的音乐产业中，欧美MV和日韩MV因其独特的风格和表现手法，吸引了全球无数粉丝。两者在视觉艺术、音乐风格、叙事手法等方面都有所不同，尤其是动漫元素在其中的运用，更是各自形成了鲜明的特色。本文将从以下几个方面对比分析欧美MV与日韩MV在动漫元素上的差异。 一、视觉艺术风格 欧美MV在视觉艺术上追求真实、大胆、创新，常常运用特效、色彩和构图来表现音乐情感。而日韩MV则更注重细腻的情感表达，通过动漫元素来营造梦幻、浪漫的氛围。以下为具体分析： 1. 欧美MV：以《A Thousand Years》为例，这首歌曲的MV运用了特效和色彩，将主人公的情感变化表现得淋漓尽致。画面中，女主角穿越时空，与男主角相遇，营造出一种奇幻的氛围。 2. 日韩MV：以《Narcissus》为例，这首歌曲的MV以动漫风格为主，通过细腻的画面和情感表达，展现了女主角内心的孤独和挣扎。画面中，女主角在梦境与现实之间徘徊，充满了梦幻色彩。 二、音乐风格 欧美MV的音乐风格多样，既有摇滚、流行、电子等主流音乐，也有独立、民谣等小众音乐。而日韩MV则更偏向于流行、电子、舞曲等音乐类型。以下为具体分析： 1. 欧美MV：以《Can't Stop the Feeling!》为例，这首歌曲的MV将流行音乐与舞蹈相结合，展现了青春活力。画面中，演员们热情洋溢地跳舞，传递出音乐中的快乐氛围。 2. 日韩MV：以《BANG BANG BANG》为例，这首歌曲的MV以电子舞曲为主，通过充满活力的舞蹈和时尚的服饰，展现了音乐中的动感。 三、叙事手法 欧美MV在叙事手法上更注重情节的连贯性和逻辑性，而日韩MV则更注重情感的表达和氛围的营造。以下为具体分析： 1. 欧美MV：以《Hello》为例，这首歌曲的MV讲述了主人公在经历了一段情感波折后，最终找到真爱的故事。画面中，情节发展紧凑，情感表达真挚。 2. 日韩MV：以《Gee》为例，这首歌曲的MV通过细腻的情感表达和梦幻般的画面，展现了音乐中的青春活力。画面中，主人公们在校园里欢快地跳舞，传递出音乐中的快乐氛围。 四、动漫元素的运用 欧美MV和日韩MV在动漫元素的运用上也有所不同。以下为具体分析： 1. 欧美MV：以《The Lion King》为例，这首歌曲的MV运用了动画技术，将音乐与动画相结合，展现了音乐中的故事情节。 2. 日韩MV：以《Naruto》为例，这首歌曲的MV以动漫角色为主，通过动漫元素来展现音乐中的情感和故事。 总之，欧美MV与日韩MV在动漫元素的运用上各有特色。欧美MV追求真实、大胆、创新，而日韩MV则更注重细腻的情感表达和梦幻般的氛围。这两种风格各有千秋，为全球音乐产业注入了新的活力。

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