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本周数据平台近期数据平台透露新政策:今日研究机构发布行业通报,人与畜禽共性关系：阿梅的启示

自古以来，人与畜禽之间的关系便如影随形。在农业社会中，畜禽不仅是人们生活的必需品，更是人们赖以生存的重要资源。而阿梅，一位对畜禽研究有着深厚感情的学者，通过其独特的视角，揭示了人与畜禽之间深刻的共性关系。本文将从阿梅的研究出发，探讨人与畜禽的共性关系，以期为我国畜禽养殖业的可持续发展提供启示。 首先，人与畜禽在生物学层面具有共性。阿梅指出，人类与畜禽在基因、生理结构等方面存在着诸多相似之处。例如，人类和猪、牛、羊等畜禽都拥有类似的消化系统、生殖系统等。这种共性使得人类能够更好地理解畜禽的生理需求，从而提高畜禽的养殖效率。此外，人类与畜禽在疾病防治方面也存在共性。畜禽疾病的防治方法往往可以借鉴人类医学的成果，为畜禽的健康成长提供有力保障。 其次，人与畜禽在社会层面具有共性。阿梅认为，人类与畜禽在社会生活中扮演着相似的角色。畜禽不仅是人们的生活伴侣，还是人们情感寄托的载体。在我国农村地区，畜禽与村民共同生活，形成了独特的乡村文化。这种文化传承了人与畜禽和谐共处的理念，为我国畜禽养殖业的发展奠定了坚实基础。同时，畜禽产品在人们的生活中占据重要地位，如猪肉、鸡肉、牛奶等，它们为人类提供了丰富的营养，满足了人们的物质需求。 再者，人与畜禽在生态层面具有共性。阿梅的研究表明，畜禽养殖业对生态环境的影响不容忽视。人类与畜禽共同生活在地球上，生态环境的恶化将直接影响到人类和畜禽的生存。因此，保护生态环境，实现人与畜禽的和谐共生，已成为当今社会的重要议题。在畜禽养殖过程中，我们要遵循生态平衡的原则，推广绿色、环保的养殖模式，降低畜禽养殖业对生态环境的负面影响。 阿梅的研究为我们揭示了人与畜禽之间的共性关系，为我们提供了以下启示： 1. 深化对畜禽养殖业的认识。我们要认识到畜禽养殖业在人类生活中的重要地位，加大对畜禽养殖业的投入，提高养殖技术，促进畜禽产业的可持续发展。 2. 加强人与畜禽的和谐共处。在畜禽养殖过程中，要关注畜禽的福利，尊重畜禽的生命权利，实现人与畜禽的和谐共生。 3. 推广绿色、环保的养殖模式。在畜禽养殖过程中，要注重生态环境保护，减少畜禽养殖业对环境的污染，实现可持续发展。 4. 强化畜禽疾病防治。借鉴人类医学的成果，提高畜禽疾病的防治水平，保障人类和畜禽的健康。 总之，阿梅的研究为我们揭示了人与畜禽之间的共性关系，为我们提供了宝贵的启示。在新时代背景下，我们要充分认识人与畜禽的共性，努力实现人与畜禽的和谐共生，为我国畜禽养殖业的可持续发展贡献力量。

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