一 | (ECNS) -- China on Tuesday rejected accusations from the United States and other countries over its submarine-launched intercontinental ballistic missile (ICBM) test conducted in July at the Conference on Disarmament in Geneva. Li Chijiang, China’s ambassador for disarmament affairs, said China opposes Washington using the forum for political manipulation and criticized the United States for questioning China’s advance notification of the missile test. Li made the remarks at a meeting on Tuesday, responding to comments by U.S. official Darryl Nirenberg, who accused China of not providing pre-launch notification of the July 6 test to the countries regarding the submarine-launched ICBM test. Li said the U.S. had cited the voluntary political commitment of the Hague Code of Conduct Against Ballistic Missile Proliferation (HCOC) to demand that China provide advance notifications of missile launches. However, China is not a member of the HCOC and is therefore not bound by its provisions. Li also noted that China has conducted only three ICBM tests to date, the fewest among the five nuclear-weapon states. In contrast, the U.S. has conducted the most ICBM tests worldwide and continues to expand its nuclear capabilities. China has conducted missile tests in a safe, responsible and transparent manner, he said. Li stressed that China has always followed a self-defensive nuclear strategy, maintained its nuclear capabilities at the minimum level required for national security and does not participate in any nuclear arms race. He urged the U.S. to reflect on its own actions and take measures that genuinely contribute to global peace and stability. (By Helen Mo, intern Liu Shuangjing) 
。 上海8月26日电(范宇斌)25日，由上海市欧美同学会主办，上海市欧美同学会留英语国家分会、上海市欧美同学会宝钢分会承办的“海归汇智 智造图强”——人工智能在制造业中的战略布局与实践应用活动在上海举行。本次活动聚焦人工智能与制造业深度融合，与会人士围绕战略布局、实践应用、技术生态等展开交流。
二 | 当前，人工智能加速向制造业渗透。如何以人工智能引领科研范式变革，助力传统产业改造升级？对制造业来说，人工智能正由辅助分析向生产控制延伸，也对数据、算力以及工业基础设施提出更高要求。 以宝钢为例，经过多年信息化建设，宝钢已基于ISA-95架构积累了丰富的数据资产和应用基础，在大数据平台支撑智慧决策、PIDAS系统探索过程智能等方面形成了一批实践成果。但随着人工智能向生产计划、工艺优化和实时控制等环节深度渗透，传统架构封闭、系统解耦不足等问题逐渐显现，新型控制架构成为推动人工智能深度融入生产的重要探索。 活动现场，国家机器人检测与评定中心(总部)主任、上海机器人产业技术研究院院长郑军奇围绕顶层制度设计、产业发展趋势、新挑战及未来探索等作主旨演讲，分享人工智能与机器人产业融合发展的最新思考。 宝钢大数据应用技术首席工程师赵会平从企业实践出发，围绕转型发展的驱动力、战略落地的行动力以及变革突破的创新力，分享宝钢推进人工智能应用和数字化转型的实践探索。 在圆桌论坛环节，宝武工程科学家单旭沂、华为钢铁有色军团解决方案首席专家杨德武、中国电信研究院多模态大模型与编解码研究中心副总监韩韬、同济大学教授齐鹏、知行机器人创始人兼董事长白国超分别围绕生产实践、技术架构、工业数据、国际比较、产业生态等角度，展开深度交流。 与会人士认为，“AI+制造”的竞争已不只是模型、数据和算力的竞争，更在于工业基础设施能否支撑人工智能真正进入生产过程。推动人工智能从“辅助工具”走向参与决策和生产控制，需要进一步提升数据连接和治理能力，推动控制架构开放、解耦，并加强高校、制造企业、通信运营商、科技企业等多方协同。
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