【环球时报记者 刘文璋 环球时报驻日本特约记者 潘小多 严格】编者的话：日本总务省7月发布2025年 版《信息通信白皮书》后，在这个曾以"技术立国"的国家，社会各界近来对本国人工智能（AI）研发和 应用落后于美国、中国等世界领先国家的现状展开了深刻反思。事实上，日本在AI研究方面的起步并 不晚，甚至被日媒形容为上世纪50至70年代第一次AI热潮中的研究"先驱"，发挥了"奠基作用"。那么， 为什么日本在之后的全球AI竞赛中逐渐跟不上步伐？这背后有哪些系统性制约因素？日本各界看待本 国未来AI发展的心态又如何呢？ " 数字劳动力 " 不足、法律壁垒高、资本保守 "哆啦A梦的故乡在理论上拥抱新技术，但在实践中却未能真正落实。"英国《经济学人》杂志报道称， 日本不少领域其实都有应用AI，比如建筑公司用它提高施工现场效率；便利店AI店员相继上岗；科技 投资者对AI与硬件交叉领域充满兴趣，而日企在后者上具有传统优势。但软银集团董事长、日本科技 投资者孙正义去年10月批评说，日本企业只专注于小规模系统，而没有努力打造AI巨头，这使得日本 没能抓住AI的发展机遇。 上世纪 90 年代后，日本 AI 研究进入空白期 根据日本文 ...

英伟达将与日本理研将共同开发AI用图形处理器（GPU）。这是海外企业首次参与日本核心超级计算 机的开发。将凝聚日美的最先进技术，力争实现性能达到全球最高水平的超级计算机…… 在22日的记者会上，理化学研究所计算科学研究中心主任松冈聪表示："将与富士通、英伟达共同设计 AI时代的全球最高水平CPU和GPU，希望通过开发富岳NEXT，在全球确立日本作为AI先进国家的稳固 地位"。 英伟达副总裁伊恩・巴克（右）在"富岳NEXT"开发体制启动纪念仪式上发言（8月22日上午，东京都中央区） 富岳的CPU内部具备提升AI性能的功能，但并未配备GPU。GPU适合进行AI计算，以美国为中心，计 算能力强大的最先进超级计算机都利用GPU提升了AI性能。富岳NEXT也将通过配备英伟达的GPU来提 高计算能力。 英伟达副总裁伊恩·巴克（Ian Buck）表示："我们将通过使用英伟达的技术来解决社会问题，让科学家 能够扩大可能性的界限。希望为实现新的科学突破贡献一份力量"。 在面向AI的计算能力方面，目标是实现设计上的性能（峰值性能）达到每秒可进行10垓（1垓为10的20 次方）次运算的"Zetta级"。在高级模拟计算方面，也会将能 ...

特斯拉(TSLA.O)预计将在明年某个时候实现超级计算机机房的规模化运行。 ...

Core Insights - IBM and RIKEN researchers successfully simulated quantum behaviors of various molecules by combining quantum and supercomputing technologies, paving new paths for chemical and pharmaceutical research [1][2] Group 1: Research Collaboration - IBM's "Eagle" quantum computer collaborated with Japan's "Fugaku" supercomputer to simulate the quantum states of nitrogen molecules and two iron-sulfur compounds using a spatial quantum dynamics algorithm [1] - The quantum computer performed core calculations while the supercomputer acted as a "quality inspector," correcting errors in real-time [1] Group 2: Performance and Future Prospects - Although the hybrid model has not yet surpassed the independent performance of supercomputers, it has demonstrated competitive capabilities in computational chemistry [2] - Kenneth M. Moritz from Cleveland Clinic noted that the improved spatial quantum dynamics algorithm can simulate molecular behavior in solution, making chemical modeling more realistic [2] - There is optimism that the combination of quantum and classical computing could show significant advantages within a year after further algorithm optimization [2] Group 3: Industry Developments - NVIDIA has developed a software platform supporting hybrid computing, while Microsoft emphasizes the transformative potential of the combination of quantum computing, supercomputing, and artificial intelligence in chemistry and materials science [2] - Caution is expressed by Markus Reiher from ETH Zurich, who highlights the need to observe the method's performance in large molecule simulations before it can be considered the preferred approach for quantum chemical calculations [2] Group 4: Ongoing Improvements - The RIKEN laboratory has upgraded to a new IBM quantum processor with lower error rates, and the research team is working on optimizing the spatial quantum dynamics algorithm and enhancing the collaboration efficiency between "Eagle" and "Fugaku" [2]

Core Viewpoint - Xiaomi's YU7 has made a significant impact on the Chinese automotive market, achieving impressive pre-order numbers and attracting a diverse customer base, indicating its potential to disrupt the mid-sized electric SUV segment [1][4][5]. Group 1: Market Impact - The YU7 was launched at a starting price of 253,500 yuan, with pre-orders reaching 200,000 units in just 3 minutes and 289,000 units in 1 hour, showcasing overwhelming consumer interest [1]. - The foot traffic at Xiaomi's stores for the YU7 has been described as "terrifying," with a mix of young fans and traditional fuel vehicle owners showing interest [4]. - The YU7's long delivery wait times, currently estimated at 56-59 weeks, may deter some customers, but its strong demand is reshaping the competitive landscape for mid-sized electric SUVs [5]. Group 2: Competitive Landscape - The YU7 is positioned as a serious competitor to Tesla's Model Y, which has seen a decline in sales, with retail figures dropping significantly in recent months compared to the previous year [8][11]. - The Model Y's sales in China have shown a downward trend, with monthly retail figures falling from 39,985 units last year to 25,694 units this year, indicating increasing pressure from domestic competitors [8][11]. - The introduction of the YU7 is seen as a turning point, with the potential to lead a group of domestic electric SUVs in challenging the dominance of the Model Y [11][12]. Group 3: Future Outlook - The competitive environment for the Model Y is expected to worsen, with new entrants like the Xiaopeng G7 and Li Auto's i6 set to join the market, intensifying the competition [12][13]. - Analysts predict that the Model Y may face its most challenging market conditions since entering China, with potential monthly sales declines of 10,000 to 15,000 units [13]. - The introduction of a lower-priced version of the Model Y is being considered, but it may not address the underlying issues of competition and market saturation effectively [21][23].

Group 1 - Nvidia and HPE are collaborating with the Leibniz Supercomputing Centre in Germany to build a new supercomputer named "Blue Lion" [1] - The "Blue Lion" supercomputer will utilize next-generation HPE Cray technology and be equipped with Nvidia GPUs, featuring the Vera Rubin architecture [1] - The computational power of "Blue Lion" is expected to be approximately 30 times greater than the current LRZ high-performance computer, SuperMUC-NG [1] - The supercomputer is set to support collaborative research projects across Europe and is scheduled to be operational by early 2027 [1] Group 2 - Nvidia has launched the "cBottle" AI model, part of the Earth-2 platform, designed to simulate global climate at kilometer resolution [2] - The cBottle model can generate realistic atmospheric states and adjust based on various input conditions, providing a new method for understanding complex natural systems [2] - Predictions using cBottle can be thousands of times faster than traditional numerical models, with higher energy efficiency without compromising accuracy [2] - Research institutions, including MPI-M and Ai2, are exploring the use of cBottle to transform Earth observation data and high-resolution climate simulations into interactive AI systems [2]