中国国际科技交流中心副主任秦久怡介绍说，截至目前，论坛已邀请来自34个国家和地区的近100位嘉 宾参会，包括联合国官员、有关国家政要、各国顶尖科学家、教育家、企业家等，覆盖全球六大洲，充 分体现了论坛作为全球科技界对话平台的重要地位。 据悉，论坛开幕式上还将发布凝聚全球共识的十项重要成果，为人工智能时代的全球科技治理与合作提 供指引。本届论坛会期5天，主会场设在中国科技会堂，相关配套活动和机制性活动安排在上海、哈尔 滨等城市。 论坛设置的10场平行论坛将聚焦人工智能与未来产业、绿色技术改造提升传统产业、医工融合下的同一 健康新范式、开放科学与全球合作等全球关键议题，深入探讨"具身智能：人工智能与机器人的融 合""智驭未来：携手共筑智能制造新生态""仿真技术：为先进制造提供新动力"等前沿话题，届时与会 嘉宾将围绕基础研究和前沿技术领域的最新进展、国际合作交流发表演讲、分享经验。 论坛获得了联合国教科文组织、联合国环境规划署的大力支持，国际科学理事会、世界工程组织联合 会、发展中国家科学院、东盟工程组织联合会、"一带一路"国际科学组织联盟等组织参与，彰显了论坛 的广泛号召力与中国科技界在推动国际科技界交流合作中的 ...

新京报讯(记者张璐)记者9月28日获悉，中国科协2025年"开放合作月"将于10月全面拉开帷幕，将汇聚 重要国际科技会议和一批科技引领未来发展交流活动，发布一批重要成果。 记者从会上获悉，2025世界青年科学家峰会将聚焦青年科学家成长和发展，发布《2025全球职业中早期 科研工作者成长发展报告》《人工智能未来发展研究报告》。 2025世界科技与发展论坛即将于10月27日至30日在北京举办，论坛将在开幕式上发布形成的十项共识性 成果，设置"具身智能：人工智能与机器人的融合""智驭未来：携手共筑智能制造新生态""仿真技术： 为先进制造提供新动力"等10场高规格专题论坛，邀请多位国内外重量级嘉宾，围绕基础研究、前沿技 术领域的最新进展和国际合作交流发表演讲。 在9月28日举行的中国科协2025年"开放合作月"专题新闻发布会上，中国科协国际合作部副部长张斌表 示，"开放合作月"由中国科协统筹组织，联动国际科技组织、地方政府、全国学会及地方科协共同开 展。约60场民间国际科学技术交流活动落地北京、上海、浙江、海南等15个国内省(自治区、直辖市)及 法国、巴西等5个海外国家。 活动内容主要分为四大板块，其中民间科技外交主 ...

Company Overview - Zhengzhou Jiean High-tech Co., Ltd. specializes in providing virtual simulation training solutions, focusing on vocational education and practical training using VR and simulation technologies. The company aims to cultivate skilled professionals for economic development [2]. - In 2024, the revenue breakdown shows that 79% comes from rail transit training, while emergency safety, aviation, and maritime training contribute 21% [2]. Financial Performance - After reversing a declining trend post-IPO, the company achieved a revenue of 384 million CNY and a net profit of 54.93 million CNY in 2024 [2][3]. - The company is actively pursuing revenue and profit growth through various initiatives [3]. Challenges and Strategies - The company faced a significant decline in gross margin in the first half of 2025 due to intensified competition and client budget constraints. To address this, it is implementing cost-reduction measures such as supply chain optimization and a modular production strategy [4]. - R&D investment is being increased to enhance product competitiveness, with expected financial impacts to be seen gradually in the following year [4]. Product Development - The company is developing a large model platform, currently in the design and early R&D stages, with short-term applications aimed at enhancing existing core business products [5]. - The military orders are expected to grow, with the company aiming to establish military business as a new growth driver [5]. Competitive Advantages - The company's core competitive advantages include comprehensive R&D capabilities, industry experience, and brand influence, supported by participation in national skill competitions [6]. - Continuous efforts will be made to strengthen customer relationships, innovate product development, and enhance quality control and after-sales service [6]. R&D Allocation - In 2024, R&D expenses increased by 3.74%. Most resources are allocated to core business upgrades, while strategic investments are made in emerging technologies like AI [7]. - Long-term R&D investments are expected to drive performance growth, aligning with market demands and technological advancements [7]. Cash Flow Management - The company reported a negative operating cash flow of -40.90 million CNY in Q1 2025, primarily due to year-end bonuses and supplier payments. Measures are being taken to improve cash flow through accounts receivable management [7]. Operational Risks - The main operational risk involves extended delivery cycles due to complex client acceptance processes. The company is enhancing communication with clients to improve delivery efficiency [8]. International Projects - The company is involved in international projects like the Thailand High-Speed Rail Luban Academy, providing single equipment and aiming to transition to a training service provider model [8][9]. - The overseas market's demand for vocational training is crucial for achieving scalable commercial revenue, with equipment sales currently being the primary revenue source [9].

Core Viewpoint - The article discusses the intersection of simulation technology, real data, and world models in the context of embodied intelligence, highlighting the ongoing debate about the importance of simulation versus real data and the potential breakthroughs in world modeling [3][11]. Group 1: Roundtable Discussion - The roundtable focuses on the "data dilemma" in embodied intelligence, featuring four young scientists who explore the boundaries between simulation and real interaction, as well as the technological advancements in world models like Genie [3][11]. - Sergey Levine's assertion that real data is irreplaceable is examined, questioning whether this is a strategic choice or an inevitable path in AI evolution [11]. Group 2: Key Participants - Li Hongyang, an assistant professor at the University of Hong Kong, leads the OpenDriveLab and has made significant contributions to end-to-end autonomous driving solutions, including the award-winning UniAD [4]. - Zhao Hao, an assistant professor at Tsinghua University, specializes in computer vision related to robotics and has co-founded over ten startups since 2009 [5]. - Gu Jiayuan, an assistant professor at ShanghaiTech University, focuses on generalizable robotic decision-making models and has received multiple awards for his research [6][7]. - Mu Yao, an assistant professor at Shanghai Jiao Tong University, has published extensively in top conferences and has received numerous academic honors [7].