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 ...

Group 1: Guangdong Intelligent Institute and Suiren Medical - Guangdong Intelligent Institute and Suiren Medical will launch the world's first pillow-type dream control device, enabling non-invasive intervention in sleep cycles, neural activity, and dream content through a "perception-analysis-control" intelligent closed loop [1] - The Guangdong Intelligent Institute has established three research centers focusing on cognitive neural networks, brain-like computing systems, and biomedical intelligence, along with two major technology platforms for brain-like artificial intelligence [1] - The national brain-like artificial intelligence public computing power open innovation platform is the only one approved by the Ministry of Science and Technology, covering all key aspects of brain-like technology innovation [1] Group 2: Bo Wei Smart Technology Group - Bo Wei Smart Technology Group, through its subsidiary Xiao Zhou Technology, is set to launch AI glasses that utilize dry electrodes to collect users' brainwaves, representing a non-invasive brain-computer interface wearable device [2] - The AI glasses will analyze users' psychological states and intentions, gradually improving the AI system's understanding of user preferences through a dual training feedback mechanism [2] - Bo Wei has been leveraging the unique development opportunities in Hengqin since 2014, focusing on IT solutions and increasing R&D investments to enhance its market position [3] Group 3: Puqiang and Strategic Cooperation - Puqiang, in collaboration with China Unicom (Macau) and China Unicom (Zhuhai), plans to establish the "Guangdong-Hong Kong-Macau International BPO Joint Operation Center," focusing on intelligent voice interaction and digital customer service [5] - The center aims to create a global intelligent hub by integrating 5G networks, cloud computing, and AI technologies [6] - Puqiang specializes in AI technologies, particularly in intelligent voice recognition and human-computer interaction, with a strong focus on commercial applications [6] Group 4: Hengqin Youth Internship Programs - Hengqin has launched two internship programs for Macau youth, offering a total of 173 positions across various sectors, including sports management and high-tech industries [7][8] - The programs aim to enhance professional skills and employment competitiveness among participants, with a focus on key industries such as high technology, traditional Chinese medicine, and modern finance [7] Group 5: Financial Statistics in Hengqin - As of May 2025, the cross-border RMB settlement amount in Hengqin reached 72 billion yuan, with a cumulative settlement of 343.2 billion yuan from January to May [11] - The region has 633 licensed financial enterprises, with a registered capital of 13.6 billion yuan, and a total asset management scale of 57.296 billion yuan, reflecting a year-on-year growth of 8.3% [11] Group 6: Offshore Trade Tax Policy - Guangdong Jixing Metal Co., Ltd. benefited from the offshore trade stamp duty exemption policy, saving 35,000 yuan in taxes on a 120 million yuan contract [15] - The policy, effective from April 1, 2025, to December 31, 2027, aims to support the development of offshore trade in Hengqin, enhancing its integration with Macau [15]

Core Insights - The Guangdong Province is accelerating the development of a modern industrial system, focusing on emerging industries such as artificial intelligence and robotics [2] - Brain-inspired intelligence (BI) is highlighted as a significant development direction for the next generation of AI, with disruptive potential in technology and industry transformation [4] Group 1: Brain-Inspired Intelligence - Brain-inspired intelligence is a new path to overcome AI technology bottlenecks, drawing inspiration from brain science and neuroscience [4] - The core advantages of brain-inspired intelligence include low power consumption, self-evolution, and small sample learning, which can lead to breakthroughs in computation speed, energy consumption, and reasoning capabilities [4] - The broad scope of brain-inspired intelligence encompasses areas such as brain-like vascular systems and organ engineering, with applications in simulating brain functions and disease mechanisms [4] Group 2: Research and Development Progress - The Guangdong Provincial Institute of Intelligent Science and Technology has made significant research advancements in brain-inspired intelligence, promoting comprehensive innovation from algorithms to chips [5] - The team has developed the "Intuitive Neural Network" (INN), which integrates symbolic computation with data-driven approaches, achieving both interpretability and high energy efficiency [5] - The "Tianqin Chip" BPU processor and the "Tianqin·Hai" wafer chip support brain-like computing systems, achieving breakthroughs in speed and power consumption [5] Group 3: Industrial Ecosystem and Recommendations - The brain-inspired intelligence ecosystem is categorized into four levels: core research institutions, infrastructure companies (chip and computer manufacturers), hardware enterprises in the supply chain, and application-end companies [5] - Brain-like computing technology can drive the miniaturization and high integration of intelligent terminals, activating emerging industries such as chip manufacturing and brain-machine medical applications [5] - Recommendations include accelerating the construction of heterogeneous fusion supercomputing centers, promoting energy-saving technologies, and focusing on the development of brain-like chips, sensors, and distributed intelligent computing networks [5]

Core Viewpoint - The Hangzhou Municipal Government is soliciting public opinions on measures to support the innovation and development of brain-like intelligence industries, emphasizing its strategic importance in the next generation of artificial intelligence [1][2]. Group 1: Policy Support and Development - The measures proposed by the Hangzhou Digital Economy Bureau focus on three areas: supporting innovation and research in brain-like industries, promoting the agglomeration of brain-like intelligent industries, and building an ecosystem for brain-like intelligent industries [1]. - The State Council has included "brain science and brain-like research" as a major national science and technology project since the 13th Five-Year Plan, with further emphasis in the 14th Five-Year Plan on incubating future industries in cutting-edge technology areas [1][2]. Group 2: Industry Participation and Innovation - Multiple regions, including Beijing, are also developing targeted plans for brain-machine interface innovation, aiming for a preliminary industrial ecosystem by 2030, with applications in healthcare, wellness, industry, and education [2]. - Companies like Tencent Holdings have made significant strides in the brain-machine interface field, with Tencent Technology obtaining a patent for a method related to brain-machine interfaces and motion control [2][3]. Group 3: Emerging Companies and Market Dynamics - Innovative companies are actively participating in the brain-like intelligence sector, such as Zhejiang Qiangnao Technology, which has over 400 patents in non-invasive brain-machine interface technology, ranking among the top globally [3]. - Large technology firms can leverage their R&D capabilities and market influence to accelerate the development of brain-like intelligence, while specialized companies can focus on niche markets, providing tailored solutions [3].

Core Viewpoint - The article discusses the evolution of artificial intelligence (AI) and its intersection with brain science, emphasizing the importance of large models and the historical context of AI development, particularly during its "winters" and the lessons learned from past mistakes [5][18][27]. Group 1: Historical Context of AI - AI experienced significant downturns, known as "AI winters," particularly from the late 1990s to the early 2000s, which led to a lack of interest and investment in the field [2][3]. - Key figures in AI, such as Marvin Minsky, expressed skepticism about the future of AI during these downturns, influencing others like Liu Jia to pivot towards brain science instead [3][14]. - The resurgence of AI began around 2016 with breakthroughs like AlphaGo, prompting a renewed interest in the intersection of brain science and AI [3][14]. Group 2: Lessons from AI Development - Liu Jia reflects on his two-decade absence from AI, realizing that significant advancements in neural networks occurred during this time, which he missed [14][15]. - The article highlights the importance of understanding the "first principles" of AI, particularly the necessity of large models for achieving intelligence [22][27]. - Liu Jia emphasizes that the evolution of AI should not only focus on increasing model size but also on enhancing the complexity of neural networks, drawing parallels with biological evolution [24][25]. Group 3: Current Trends and Future Directions - The article discusses the current landscape of AI, where large models dominate, and the importance of scaling laws in AI development [27][30]. - It notes the competitive nature of the AI industry, where advancements can lead to rapid obsolescence of existing models and companies [36][39]. - The article suggests that future AI development should integrate insights from brain science to create more sophisticated neural networks, moving beyond traditional models [25][50].