Group 1 - The forum focused on the transformation direction, innovation models, and development paths of the technology service industry in the era of digital economy [1] - The "Yangpu District Technology Enterprise Matrix Cultivation Plan" was launched, establishing a systematic cultivation matrix for technology enterprises based on four gradients and four dimensions [1] - Yangpu District aims to build a new innovation zone, leveraging resources from universities and large enterprises to strengthen the development of the technology service industry [1] Group 2 - Liu Jinyuan emphasized that digital intelligence is the new engine for the technology service industry, and Yangpu will deepen cooperation in standard construction, frontier applications, financial empowerment, and results transformation [2] - The Ministry of Industry and Information Technology is focusing on optimizing the technology achievement transformation system and enhancing capabilities, with a strong push for the development of the technology service industry [2] - The "Shanghai Technology Service Industry Standardization Work Alliance" was officially launched to promote standardization in the technology service sector, aiming to accelerate innovation and integration with industrial development [2] Group 3 - Experts highlighted the need for the technology service industry to integrate AI technology to transition from experience-driven to intelligence-driven paradigms [3] - Advances in brain-inspired AI algorithms are driving breakthroughs in various fields, with a call for enhanced industrial transformation of brain and intelligent technologies [3] - Chinese companies are encouraged to leverage cloud computing and AI capabilities for global expansion and technology output [3]

据悉，作为当前全球规模最大的智能铺排船，"交通建设十号"船体总长116.6米，集成我国水运高 端装备六大核心技术创新成果，通过机械臂式充灌装置与多系统协同控制技术，将传统需12人协同操作 的流程优化为仅需2人，人员成本降低80%，作业效率提升40%。模块化设计是"交通建设十号"的又一 亮点，通过快速更换作业模块，设备利用率提升60%，有效扩展了工程适用场景。 在行业人士看来，这不仅体现了上海企业在追求高效生产、降低运营成本方面的积极探索，也表明 通过技术创新提升产业竞争力的决心，为上海高端装备制造产业向智能化、高效化发展提供了范例。 会议指出，强化战略引领，加速前沿技术攻坚和未来产业规划，主动对接国家未来产业方向，积极 承接国家重大任务，力争在前沿探索与前瞻布局上抢占先机。深化产业培育，不断完善培育机制、创新 支撑保障体系和产业集聚区空间布局，力争在全链贯通与要素融合上取得突破。优化制度环境，力争在 创新治理与开放合作上成为标杆，构建更有耐心、更加包容的制度体系，深度融入全球创新网络，全力 打造具有世界影响力的未来产业引领地。 在众多未来产业方向中，高端装备制造无疑占据着核心地位，系统性推进未来产业培育工作， ...

Core Viewpoint - Industrial security is emphasized as a core component of economic security, with a focus on enhancing resilience, technological self-reliance, and high-level openness to improve industrial development quality [1] Group 1: Industrial Scale Expansion - Steady expansion of industrial scale is crucial for maintaining industrial security, serving as a stabilizing factor during the transition from middle-income to high-income status [2] - China's manufacturing sector has maintained the largest global scale for 15 consecutive years, showcasing unique advantages in scale and system [2] - Future efforts should focus on continuing to expand industrial scale while stabilizing the proportion of industrial and manufacturing sectors in the national economy [2] Group 2: Industrial Quality Upgrade - Promoting quality upgrades in industries is essential to avoid low-level repetitive investments that can harm industrial security [3] - Digital transformation is highlighted as a key area, with Shenzhen's manufacturing value added projected to account for about one-third of its GDP in 2024, significantly above national averages [3] - Emphasis on green low-carbon development and the establishment of advanced industrial clusters in fields like artificial intelligence and life sciences to enhance industrial safety [3] Group 3: Enhancing Industrial Resilience - Strengthening industrial resilience is necessary for building a modern industrial system and ensuring industrial security [4] - Despite improvements, there are still weaknesses in the industrial chain that need to be addressed through technological advancements and diversified supply systems [4] - Monitoring and early warning systems for various risks are essential to enhance governance resilience [4] Group 4: Strengthening Technological Innovation - Technological self-reliance is a critical aspect of industrial development quality, with a focus on addressing "bottleneck" issues in technology [4] - Investment in foundational technology and major innovative infrastructure is necessary to improve the supply of original and cutting-edge technologies [4] Group 5: Expanding High-Level Openness - Expanding high-level openness is vital for enhancing industrial development quality, transitioning from passive integration into global supply chains to active participation [5] - China's foreign investment and global capacity layout have accelerated, particularly in relation to countries involved in the Belt and Road Initiative [5] - Future strategies should include aligning with international trade rules and enhancing international industrial cooperation in emerging sectors [5]

Group 1 - The second "Yuniao Cup" Overseas Youth Innovation and Entrepreneurship Competition was launched in Hangzhou, aiming to gather global young talents from the overseas Chinese community [1][3] - The competition targets overseas Chinese youth aged 45 and below, focusing on five major industrial ecosystems: intelligent IoT, biomedicine, high-end equipment, new materials, and green energy [3] - The event plans to attract over 100 quality projects, with a structured competition format including project collection, special rounds, semi-finals, and finals, offering various awards [3] Group 2 - Hangzhou's innovation and entrepreneurship policies provide comprehensive support from startup incubation to industrialization, including talent cultivation, technology breakthroughs, and capital connections [3] - The establishment of the Hangzhou Overseas Friendship Association's Innovation and Entrepreneurship Committee and the Youth Innovation and Entrepreneurship Mentor appointment aims to consolidate resources and support overseas Chinese talents [4] - A roundtable discussion on "AI +: From Technological Innovation to Industrial Innovation" featured experts discussing breakthroughs in AI technology, key transitions from technology to industry, and investment trends [6] Group 3 - The launch of the competition is expected to accelerate the gathering of global overseas Chinese youth innovation forces in Hangzhou, injecting new momentum into the city's development in new productivity sectors [8]

Group 1 - Jiangsu province has achieved significant milestones in technological innovation, including the launch of China's first deep-sea green intelligent technology test ship and the completion of the national major scientific infrastructure for future networks [1][2] - In the first seven months of the year, Jiangsu approved 14 innovative drugs for listing, surpassing the total of 13 from the previous year, maintaining its position as the leading province in the country [1] - The province's effective invention patent count reached 671,900, with an invention patent ownership rate of 788.1 per 10,000 people, ranking first in the country for nine consecutive years [1] Group 2 - Continuous investment in research and development has been a key driver of innovation, with Jiangsu's R&D investment contributing over 1/8 of the national total and increasing for three consecutive years [1][2] - The establishment and expansion of laboratory networks, including the construction of comprehensive research facilities and the creation of alliances among key laboratories, have bolstered the innovation ecosystem [2] - Jiangsu has 61 high-tech zones, including 18 national-level zones, leading the country in quantity, and is implementing initiatives to enhance the quality and integration of these zones [2] Group 3 - The provincial government plans to strengthen organized basic research, tackle key core technology challenges, and enhance the role of enterprises in innovation through various strategic initiatives [3] - Specific measures include the establishment of three major basic science centers, implementation of around 60 key basic research projects, and the development of approximately 80 frontier technology research projects [3] - The government aims to promote collaborative innovation between high-tech zones and higher education institutions, facilitating organized research and transformation [3] Group 4 - Support for innovative leading enterprises and major technological platforms will lead to the establishment of 10 collaborative innovation consortia and the creation of 40 hard technology incubators [4] - The introduction of new regulations to promote the transformation of scientific achievements aims to enhance the seamless connection between the innovation chain and the industrial chain [4]

Group 1 - The release of the new generation neuromorphic brain-like computer "Wukong" by Zhejiang University marks a significant advancement in China's neuromorphic computing field, achieving international advanced levels with a neuron count close to that of a macaque brain [1] - The successful implementation of "Wukong" is expected to drive the brain-like intelligence industry from single breakthroughs in brain-machine interfaces to a systematic development, benefiting related sectors such as intelligent robotics [1] - The infrastructure for China's brain-like intelligence industry is steadily improving, with various algorithm models transitioning from laboratories to market applications [1] Group 2 - Strong Brain Technology, as the first domestic unicorn in the brain-machine interface field, has developed multiple intelligent products, including "smart bionic hands" and "brain-machine intelligent sleep instruments," achieving mass production [2] - The combination of "toolchain + benchmark products" is shortening the technology validation cycle and fostering early market user habits, shifting the industry from "research-driven" to "demand-driven" [2] - The brain-machine interface sector is experiencing rapid commercialization, with applications in healthcare, such as clinical trials for brain-machine products by Hangzhou Boling Medical Technology [2] Group 3 - Smart education is emerging as a significant application area for brain-like intelligence, with products aimed at enhancing focus among youth using non-invasive brain-machine interface technology [3] - The application of brain-like intelligence is expected to exhibit a "three high" trend: high-frequency interaction, high-precision control, and high-value medical applications [3] - The development of the brain-like intelligence industry is characterized by a three-pronged approach of policy guidance, capital support, and technological iteration [3]

2025年世界人工智能大会(WAIC)圆满落下帷幕。巨头云集、百家争鸣，人形机器人再次站上风口中 央。可在这场看似喧嚣、实则渐趋同质的科技秀场中，有一家新锐公司，以鲜明的技术路径和实际落地 成果，打破了传统叙事的边界，成为行业瞩目的焦点——深谋科技。 首次亮相WAIC，深谋科技并未随波逐流，卷入"跑得更快、跳得更高、动作更像人"的传统比拼。相 反，深谋科技坚定地从"真正理解人类、服务人类"的机器人核心使命出发，果断切入脑控、动态视觉伺 服和康养场景三大底层能力领域，率先开拓出一条技术差异化且已落地的创新赛道。 世界人工智能大会推荐 更为难得的是，深谋科技的产品远非实验室中的炫技Demo，而是实实在在服务社会的力量。其自主研 发的小型康养机器人，已与韩国政府携手，在多地智慧养老机构正在进行商用部署，成为国内为数不多 真正实现"出海+商用"的具身智能企业。 蓝鲸新闻采访了市场部负责人彭思敏，她介绍道，此次展会聚焦康养、陪伴与照护等高频应用场景，特 别针对独居老人等弱势群体开展技术落地探索。深谋首创的脑机交互系统MindMover，实现了意图识别 与状态感知的双向闭环，让机器人真正"读懂人心";动态视觉系统则赋予机 ...

Core Viewpoint - Fengyuzhu (603466.SH) has successfully won a procurement project from Hangzhou Future Technology City, collaborating with Qiangnao Technology to establish a leading position in the brain-machine intelligence industry [1] Group 1: Company Overview - Fengyuzhu will leverage its advanced digital experience technology and resource integration capabilities in this collaboration [1] - The partnership aims to deeply integrate Qiangnao Technology's cutting-edge achievements in brain-machine interfaces and embodied intelligence [1] Group 2: Industry Context - Hangzhou Future Technology City is positioned as a global hub for brain-machine intelligence, gathering top research institutions such as Zhijiang Laboratory and the National Key Laboratory of Brain-Machine Intelligence [1] - The collaboration is intended to help Hangzhou Future Technology City create a globally influential innovation source and experience hub for brain-like intelligence [1]

Group 1: Brain-Machine Interface Achievements - A patient with motor dysfunction successfully operated social media applications and controlled a smart wheelchair using a 256-channel flexible brain-machine interface designed by Brain Tiger Technology after two weeks of training [1] - Another patient with language dysfunction achieved real-time Mandarin communication at a speed of 50 words per minute, which is about one-third of the average person's speaking speed, with a latency of less than 100 milliseconds [1][3] Group 2: Digital Twin Brain Development - The Digital Twin Brain (DTB) project, led by a team from Fudan University, aims to simulate the human brain to enhance understanding of information processing and improve brain disease diagnosis and treatment [4][5] - The DTB is constructed by dividing brain imaging data into 23,000 blocks, each approximately 3mm in size, and using MRI data to clarify connections between these blocks [4][5] - The team has achieved a Pearson correlation coefficient of 0.63 for visual experiments and 0.57 for auditory experiments, indicating a high similarity between DTB activity patterns and human brain activity [5] Group 3: Advancements in Brain-Like Intelligence - Research on brain-like intelligence focuses on creating systems that mimic the efficiency of biological brains while overcoming high energy consumption issues faced by current AI systems [7][8] - The development of the Darwin III brain-like chip, which has the largest scale of neurons on a single chip, represents a significant advancement in this field [7] - The goal is to extract efficient characteristics from biological brains, such as sparse connectivity and dynamic activation, rather than mechanically replicating them [8] Group 4: Cross-Species Brain Research - Cross-species brain research is emerging as a critical area in brain science, providing simplified models from lower organisms that can inform human brain models [9] - The ultimate aim of both Digital Twin Brain and brain-like intelligence research is to deepen the understanding of brain mysteries and advance AI technology to better serve medical and scientific fields [9][10] - The Digital Twin Brain has shown potential for precision medicine, allowing for the simulation of specific brain conditions to test treatment options, thereby reducing clinical trial costs and improving targeted therapies [10]

根据合十思维发布的五年发展规划，预计到2029年，公司将累计投入10亿元，实现产值超41亿元，累计 纳税超1.4亿元，直接带动就业2500人，并带动上下游产业生态协同发展。 五大场景落地，瞄准万亿级家庭与工业市场 不是替代人类，而是成为家庭、商业、工业中的超级伙伴。目前，"合小十"以人为核心，针对家庭场景 推出养老陪护、教育辅导、安全监护、家政服务、娱乐互动五大服务方案。同时，其模块化设计扩展 ToB生态，依托HumanROS系统和KERBM动能回收技术，可快速适配轮式酒店布草机器人、工业巡检 机器人等场景，赋能智慧酒店、智慧医养、商业零售、智慧教育、军事装备等领域产业升级。 鲁港澳协同创新，共建AI机器人产业高地 尽管面临国际算力竞争压力，合十思维凭借全球首个神经形态类脑决策专利，构建了"算法-硬件-场 景"闭环。其HRS-1机器人采用仿生膝关节、弹簧负载倒立摆（SLIP）模型及动能回收系统，行走耗能 仅为同类产品的30%，下一步将迭代关节模组，等待供应链成本下降后启动消费级市场。 2025年7月19日，合十思维科技有限公司创始人赵普携全球唯一的神经形态大脑决策系统技术亮相上合 之珠，在2025鲁港澳科技创 ...