Group 1: Company News - Uber and UK startup Wayve announced plans to conduct autonomous vehicle testing in London [2] - Morgan Stanley released a report naming Coca-Cola as a top pick, reiterating an "overweight" rating with a target price of $81 [2] - Honda is reportedly investing several billion yen in Japanese advanced chip manufacturer Rapidus [2] - Parvus Asset Management is reportedly increasing its stake in Novo Nordisk [2] - NVIDIA and HPE announced a collaboration with the Leibniz Supercomputing Centre to build a new supercomputer using NVIDIA's next-generation chips [2] - Microsoft-backed AI lab Mistral is set to launch its first inference model [2] - IBM is reportedly developing a large-scale fault-tolerant quantum computer [2] - Tencent Music plans to acquire Himalaya for $1.26 billion [2] - Toyota and Daimler Trucks are set to complete the merger of their truck divisions by April 2026 [2] - AT&T plans to reaffirm its 2025 financial guidance along with a stock buyback plan of at least $3 billion [2] - Blackstone Group plans to invest $500 billion in Europe over the next decade [2]

今年以来，随着新技术、新产业、新业态快速发展，先进制造、信息技术、服务消费等重点领域的一批 企业，在"向新""向智"进阶提速中，释放岗位新需求、拓展就业新空间。 广纳AI等领域人才，培塑竞争新优势 北京海淀区，百度大厦。近日，包含社招员工、校招员工和实习员工等在内的120名新员工在这里集中 参加了百度新一期入职培训。 "我们已开放3000多个暑期实习机会，供在校生申请。希望能够招聘到包括机器学习、自然语言处理、 大模型算法以及前后端开发、AI产品经理等领域的人才。"百度校园招聘经理刘帅表示，未来三年将向 高校毕业生开放2.1万个实习岗位。 今年以来，人工智能、量子科技等领域招聘需求旺盛，企业争相吸纳算法、机器学习等方面的人才。 不久前，腾讯宣布启动新的就业计划——三年内将新增2.8万个实习岗位，其中，2025年将引进1万名校 招实习生，并加大转化录用。 就业，一头连着经济冷暖，一头连着万家灯火。 "截至3月初，腾讯共有正式员工超55000人，其中科技类人才超40000人。公司各项业务已全面拥抱AI， 因此在招聘中持续强化对青年人才的前瞻性储备。"腾讯全球招聘负责人罗海波介绍，今年开放的校招 岗位中，人工智能、 ...

Core Viewpoint - Many exciting Chinese tech companies are choosing London as their gateway to expand into the European market [1] Group 1: London as a Tech Hub - London Tech Week has attracted over 30,000 participants from nearly 130 countries to discuss hot topics like generative AI and quantum computing [1] - London is positioned as a crucial part of the global tech ecosystem and acts as a bridge between major countries, particularly between China and the US [3] - The UK ranks third globally in tech strength, following the US and China, and has strong collaborations with nearby cities like Paris [3] Group 2: Innovation and Commercialization - The UK has top-tier scientific research capabilities, with prestigious universities like Oxford and Cambridge contributing to innovation [3] - There has been a slow pace in commercializing research into large enterprises over the past decade, but this is changing [4] - A wave of innovative companies from the UK is expected to emerge in the next three to five years due to increased focus from various stakeholders [5] Group 3: Globalization and Market Entry - UK companies must adopt a global mindset early on due to the smaller domestic market size compared to China and the US [5] - Localizing products and teams is crucial for international expansion, as success in one market does not guarantee success in another [6] - Building a unified corporate culture across different continents is one of the biggest challenges for international founders [6] Group 4: Support for Chinese Tech Companies - The London & Partners organization offers support to Chinese investors and entrepreneurs looking to establish tech companies in London [7] - Assistance includes simplifying processes related to immigration, taxation, and legal entity registration, as well as building key networks [7] - Recent examples of Chinese companies entering the London market include BIPO, HanShuo Technology, and Honor [7]

IBM计划于2029年前在纽约波基普西的新量子数据中心交付全球首台大规模容错量子计算机。据悉， IBM量子计算机"Starling"的运算能力将比当前量子计算机高出20000倍以上。用户将能全面探索量子 态，突破现有量子计算机仅能访问有限量子特性的限制。 ...

智通财经6月10日电，IBM将打造大规模容错量子计算机。 ...

IBM(IBM.N)计划在新的IBM量子数据中心打造全球首台大规模容错量子计算机。 订阅人工智能动态 +订阅 ...

中新社多伦多6月9日电 (记者余瑞冬)加拿大总理卡尼9日在多伦多宣布，加政府将增加军费投入，从而 在本财年实现北约设定的各成员国军费开支应达国内生产总值(GDP)2%的目标水平。 该计划将对军方的多项"关键能力"提供支持，包括：北极超视距雷达、联合反无人机计划、联合支援 舰、远程精确打击能力、国内弹药产量、后勤多用途车辆和装甲车辆等。另外，加政府还计划改善退伍 军人福利制度等。 卡尼称，加拿大需要上述能力来维护和宣示其主权，并确保其国防不再依赖他人。 自北约2014年设定各成员国军费开支应达GDP的2%的目标以来，加拿大始终未达标，也使该国近年来 面临北约领导人及美方政界高层的压力。去年加拿大的军费开支约占其GDP的1.45%。(完) （文章来源：中国新闻网） 这也意味着，加政府将比今年稍早时卡尼竞选承诺中的计划提前5年实现上述军费目标。 按照卡尼此次公布的计划，加政府2025至2026财年增加的军费投入将超过90亿加元。加拿大还将在未来 几年进一步加快军费投入。上述新增军费投入加上现有相关预算，加政府2025至2026财年的军费总开支 将达约627亿加元，约占该国GDP的2%。 加政府计划增加军费的措施包括 ...

（全球TMT2025年6月10日讯）今日要点：苹果官宣迄今规模最大的设计更新；TikTok扩大在英投资新增超500个工作岗位；任正非称AI或 是人类社会最后一次技术革命；马斯克"星链"卫星一年坠落超过300颗；OpenAI年度经常性收入突破100亿美元；亚马逊将在宾州投资200亿 美元。 苹果官宣迄今规模最大的设计更新 苹果公司(Apple)2025年度全球开发者大会(WWDC25)如期在美国加州苹果公司总部召开。本次发布会是一场纯软件发布会，没有任何硬件 发布或更新。苹果公司将在其所有设备上引入一种类似visionOS的新设计语言。同时，还将围绕发布年份对其操作系统进行重新命名，包括 iOS 26和watchOS 26。苹果官宣了迄今规模最大的设计更新，命名为"Liquid Glass（液态玻璃）"，能折射光线并通过镜面高光动态响应用户 的动作，可配合用户调用选项或切换界面等操作，与设备的圆角巧妙呼应。苹果全新操作系统将在秋季向所有用户开放。 苹果升级Siri遇到挑战 苹果很难为其iPhone的人工智能语音助手推出升级。这家硅谷巨头在利用最前沿的大型语言模型来升级Siri时遇到了挑战，这些模型能够对 语音指 ...

鱼羊 发自 凹非寺 量子位 | 公众号 QbitAI 一度轰动物理学界的「 μ子异常 」，凉了。 美国费米实验室公布的最新实验结果显示： 尽管在2021年，研究人员发现μ子的磁性超出理论预测0.1%，令粒子物理标准模型笼上一朵阴云。 μ子的磁矩反映了它在磁场中的行为，可以用一个无量纲参数 g 来描述：g=2+a μ 。 但他们的「最终」测试结果指出， 并未发现新的显著偏差 。 也就是说， 一切仍与标准模型相符，此前被认为可能颠覆粒子物理学的「异常」并不成立 。 所谓 标准模型 ，是解释夸克、电子等微观粒子的物理模型。在希格斯玻色子被发现之后，标准模型预言的所有粒子都已被发现。 理论成功归成功，物理学家们却从未停止对「权威」的挑战——毕竟，在标准模型下，一些普遍存在的开放性问题不能得到很好的解释，比如 暗物质。 在这种背景之下，打从2001年就漂浮起的「μ子异常」疑云，对于物理学界而言无疑充满了诱惑。 但现在，围绕于此的好奇和质疑，可能都要烟消云散了。 μ子g-2异常 我们还是先回到事情的起点：什么是μ子异常？ μ子是一种带电轻子，与电子性质相似，但质量约为电子的207倍。 其中，a μ 是μ子磁矩的反常值。 ...

Core Insights - The digital economy is reshaping the global development landscape with unprecedented depth and breadth, marking a significant historical shift in resource allocation and economic efficiency [3][5] - The digital economy emphasizes the value of data utilization over mere information transmission, highlighting a transition from the "information explosion" era to a focus on data mining and application [4][5] Group 1: Evolution of Digital Economy - The digital economy is seen as a major paradigm shift that enhances economic quality, efficiency, and dynamism, prompting countries to prioritize its development as a key area for competitiveness [5] - The transition from traditional economic models to digital frameworks is characterized by the integration of various industries and markets, leading to significant changes in organizational forms, consumer behavior, and governance [4][5] Group 2: Data as a Key Element - Data is referred to as the "oil" of the digital economy, but its mere accumulation is insufficient for driving development; clear data rights and effective data asset management are essential [6] - The effective circulation and utilization of data can maximize its scale benefits while managing potential legal and privacy risks [6] Group 3: Technological Innovations - Key technologies such as blockchain, cloud computing, quantum computing, and artificial intelligence are crucial for the functioning of the digital economy, providing reliable environments for data transmission and storage [7] - The emergence of Web3 and new communication technologies enhances network security and expands the boundaries and scenarios of the digital economy [7] Group 4: Organizational Changes - Companies in the digital economy must embrace data and innovate their business models to thrive in competitive markets, with digital technologies enabling rapid innovation and minimal marginal costs [7] - Platform-based enterprises are reshaping traditional supply chains and market value assessments, fostering diverse business model innovations and cross-industry collaborations [7] Group 5: Governance Challenges - The growth of the digital economy introduces challenges such as market monopolies, privacy protection, and digital divides, necessitating effective governance frameworks [8] - A balance between encouraging innovation and regulating the market is essential for sustaining the vitality and creativity of the digital economy [8] Group 6: Comprehensive Research - A comprehensive study titled "The Era of Digital Economy: Historical Evolution and Development Trends" explores various dimensions of the digital economy, including its theoretical foundations, key elements, technologies, corporate practices, and governance challenges [9][10] - The research aims to provide insights and wisdom for policymakers, industry leaders, and researchers to navigate the complexities of the digital economy [10]