本文来自： 财联社 ，原文标题：《任正非最新发声！涉及人工智能，信息量很大》，头图来自：视 觉中国 财联社12月5日讯，今日，ICPC北京总部官网发布任正非与ICPC主席、教练及获奖选手座谈会纪 要。 11月14日，任正非在位于上海的华为练秋湖研发中心与ICPC全球优胜者及教练座谈，围绕AI未来、 教育本质与青年成长展开对话。他强调"教育是教育，商业是商业"，并指出人工智能应聚焦未来三至 五年的产业应用，推动工业、医疗等领域的实质性进步。面对时代浪潮，他鼓励青年"敢于在质疑中 前进"，在开放合作中推动文明交融与技术共进。 据介绍，国际大学生程序设计竞赛 （International Collegiate Programming Contest，简称ICPC） 是世界上规模最大、水平最高的国际大学生程序设计竞赛之一。赛事由各大洲区域赛 （Regional Contests） 和全球总决赛 （World Finals） 两个主要阶段组成，每个赛季持续时间约9个月，来自全 球6大洲、超过100个国家和地区的两千余所高校的近五万名大学生参与该项赛事。 以下是座谈会纪要全文： 练秋湖畔贝壳图书馆漫谈——任 总与ICPC ...

Core Insights - The discussion emphasized the importance of education and the role of youth in driving technological advancements, particularly in AI applications over the next three to five years [1][2][3] - The company aims to leverage AI in various industries, including agriculture and healthcare, to enhance efficiency and safety [7][8] - The dialogue highlighted the need for collaboration between academia and industry to foster talent and innovation in technology [11][12] Group 1: AI and Industry Applications - The company is focusing on practical applications of AI in sectors such as industrial production, healthcare diagnostics, and autonomous operations in mining and logistics [7][8][19] - AI is expected to significantly improve operational efficiency, with examples including optimizing furnace temperatures in steel production and enhancing safety in coal mining through remote monitoring [7][8] - The company is exploring the use of AI in automating processes in ports and railways, aiming to streamline operations and improve safety [19][20] Group 2: Education and Talent Development - The discussion underscored the necessity of enhancing educational frameworks to cultivate homegrown talent in technology, rather than solely relying on imported expertise [11][12] - The company supports initiatives that provide training and resources to underdeveloped regions to elevate their IT capabilities [8][9] - Emphasis was placed on the shift from traditional education models to more decentralized, online learning approaches that can reach remote areas [9][10] Group 3: Future of AI and Technology - The company anticipates a future where AI will play a crucial role in various sectors, with a focus on practical applications rather than theoretical advancements [23][24] - There is a recognition that while AI will automate many tasks, it will also necessitate re-education and reskilling of the workforce to adapt to new roles [24][25] - The company is committed to exploring the potential of quantum computing and its implications for AI, although it acknowledges that this is a long-term endeavor [34][35]

Veronika Soboleva： 大家早上好！首先，非常感谢任总将ICPC的队伍带到练秋湖这么漂亮的园区， 非常荣幸今天能够来到这里。所有参加的成员都代表ICPC，这一年都非常努力，他们来自超过三十多 个国家和地区，有110多人，包括来自世界各地的教练和参赛获胜者。有一些同事是远程参加，有一些 是现场参加，非常高兴来到这里分享我们的想法，聆听您的洞见。非常感谢华为的周到安排，感谢将 ICPC整个社区的教练和参赛选手带到这里，我们有三部分的关键工作，包括与学术界、院校和产业界 连接到一起，所以这是一个非常好的活动。欢迎大家！ ICPC主席： 首先，非常感谢邀请我们来到这个美丽的园区，这是一个方方面面都非常棒的地方，是一 个广交朋友、一起聚会的好地方。我想对大家表达感谢，给我们提供这样的机会。英语有一个非常好 的词是"together"，能够聚在一起，非常感谢！ 任正非： 非常感谢ICPC主席、各位教练、各位年轻的世界金牌获得者。我们认为，我们正处在一个快 速变动的时代，希望在年轻人，你们正放射着青春的光芒。你们是年轻人的榜样，时代的希望是寄托 在你们青年人身上的。 来源 | 上海证券报 预计阅读时间：30分 ...

Core Points - Huawei's President Ren Zhengfei emphasized the importance of youth, talent, and education during a discussion with ICPC representatives, highlighting the role of young people as the hope of the future [1][2][3] - Ren acknowledged Romania's significant contributions to China's industrial development, particularly in oil exploration technology, and expressed a desire to strengthen cooperation with Romania [1][29] - The discussion also focused on the challenges and opportunities presented by artificial intelligence (AI), with Ren noting the need for collaboration between academia and industry to address these challenges [4][9] Group 1: AI and Industry Applications - Ren discussed the application of large models and big data in various industries, such as optimizing iron production and enhancing safety in coal mining through remote operations [5][6] - He highlighted the advancements in healthcare diagnostics using AI models, which improve the capabilities of doctors in remote areas [6] - The conversation included the potential for AI to automate processes in ports and mining, showcasing examples of fully automated operations in Tianjin and Peru [5][6] Group 2: Education and Talent Development - Ren stressed the importance of education in fostering talent, stating that China must focus on creating its own talent rather than solely relying on imports [9][10] - He pointed out the shift from traditional education models to more decentralized, online learning opportunities, which can benefit students in remote areas [7] - The need for collaboration between educational institutions and industries was emphasized, with a focus on practical training and skill development [12][21] Group 3: Future of Work and AI - Ren addressed concerns about job displacement due to AI, suggesting that re-education programs will be necessary to transition workers into new roles [21][22] - He noted that while AI will automate many tasks, it will also create new opportunities and increase overall wealth, necessitating a focus on how to share this wealth equitably [22] - The discussion included the potential for AI to enhance productivity in various sectors, including transportation and healthcare, while also acknowledging the challenges of integrating AI into existing systems [19][20]

任正非举例说，国铁正在铁路上试验新的5G-R无线调度系统，450公里时速的高铁，使用5G-R来承载无 线的调度，这个5G-R共生雷达实时检查线路安全、高速运转列车的轮轴安全，是一个大踏步的进步。 大家知道，中国的重载火车一列火车拉3万吨煤炭，是无线电调度的。无线电以前用GSM-R，控制火车 间隔，能够控制每列两万吨的载货量的火车，密集地往秦皇岛运。将来要升级到5G-R，能够支撑上万 列时速450公里的火车、3万吨货车的运行。大家知道现在每天调度的高铁是一万多列，而且通过每一个 点都是计算点，这么庞大的铁路运输网络，人工智能是怎么调度指挥的。 他还强调，中国每年新增八千多公里的铁路，未来中国铁路里程有数十万公里，是世界上最长最复杂的 铁路网。未来你们成为中流砥柱的时候，中国可能有30-40万公里干线轨道，还不包括城际铁路、地下 铁路。这么密集的交通网络调度、仓储管理、装货管理、协调管理……，这是多复杂的科学，需要很厉 害的数学博士解决这个问题。 12月5日，ICPC北京总部官网发布华为公司总裁任正非与ICPC主席、教练及获奖选手座谈。任正非在讲 话中谈及青年、人才、教育等相关话题。 来自北京交通大学的学生说，在 ...

Core Viewpoint - The core viewpoint emphasizes the importance of AI applications and the need for innovation and collaboration between academia and industry to address challenges in the AI era [2][7][14]. Group 1: AI and Its Applications - AI without a network is considered an information island, highlighting the necessity of connectivity for effective AI utilization [2]. - The focus should be on practical applications of AI in various sectors, such as agriculture, healthcare, and mining, to enhance efficiency and safety [8][9]. - AI is expected to significantly improve productivity in industries, with examples including automated coal mining and enhanced diagnostic capabilities in healthcare [8][9]. Group 2: Education and Talent Development - The role of educational institutions is to explore the future, while companies focus on creating commercial value, necessitating a balance between the two [14]. - There is a call for educational reforms to cultivate talent capable of driving technological advancements, emphasizing the importance of nurturing homegrown talent rather than solely relying on imports [13][14]. - The shift from traditional education models to more decentralized, network-based learning is seen as beneficial for societal progress [11]. Group 3: Collaboration Between Academia and Industry - The collaboration between universities and industries is crucial for addressing real-world challenges and fostering innovation [10][14]. - Companies are encouraged to support educational initiatives that enhance programming and AI skills in underdeveloped regions [10]. - The integration of academic research with industrial applications is highlighted as a pathway to achieving significant technological breakthroughs [14][32]. Group 4: Future of Work and AI - The impact of AI on job markets is acknowledged, with a focus on the need for re-education and skill development for displaced workers [27][28]. - The potential for AI to automate tasks traditionally performed by humans is discussed, with an emphasis on the importance of adapting to these changes [28]. - The future workforce will require a blend of technical skills and adaptability to thrive in an AI-driven economy [27][28]. Group 5: Global Perspective and Innovation - The importance of global collaboration in technology and education is emphasized, with a recognition of the contributions from various countries [17][33]. - Innovation is seen as a collective effort, with the need for diverse perspectives to drive advancements in technology [17][33]. - The potential for countries to leapfrog in technology through strategic investments in education and infrastructure is highlighted [17][33].