【导读】当AI能「看」见实验室的细节，能「听」见研究员的每一次反应，能「感知」实验进展的每一点变化——它的推理将不再局限于硅基世界。那 时，AI将通过人类的双手，直接参与并改变物理现实。它或许将成为实验室中最勤奋、最可靠的「智能伙伴」。如今，这一幕正在发生在微纳加工的超 净间与生命实验室AI不仅能理解电子器件的诞生，也开始洞察细胞与类器官的生长。从芯片到细胞，从材料到生命，「人机共融」的边界，正在被重新 定义。 科学研究和制造车间里，最让人崩溃的瞬间是什么？ 想象一个场景： 刚入行的新手小李在柔性电子制造的超净间中。 可实验日志记的零散，新手想复刻时，对着SOP里「适度调整温度」的模糊描述无从下手，只能再花几个月试错。 类似的情况，同样出现在生命科学实验室： 在类器官培养的显微台前，研究生小张刚完成细胞消化步骤。 她比SOP规定的时间多消化了40秒，细胞融合度下降、类器官结构塌陷；或是换液时温度略低几度，整个分化周期的关键指标都受影响。 实验日志里只写着「细胞状态一般」，没有任何可追溯的信息。几周的培养成果，就这样在一次看似微小的操作偏差中被抹去。 这些不是极端案例，而是科研和高端制造的常态。 一个典型的反应 ...

Investment Rating - The industry investment rating is "Recommended (Maintain)" [1] Core Views - The new materials sector is a crucial direction for the chemical industry, currently experiencing rapid growth in downstream demand. With policy support and technological breakthroughs, domestic new materials are expected to accelerate their long-term growth. The report emphasizes that "one generation of materials supports one generation of industry," highlighting the foundational nature of the new materials industry for other sectors [4]. Summary by Relevant Sections 1. Electronic Information Sector - Focus on semiconductor materials, display materials, and 5G materials [5] - As of October 31, 2025, global AI server shipments are projected to grow by over 20% annually, with AI applications driving demand [6][20]. 2. Aerospace Sector - Key areas of interest include PI films, precision ceramics, and carbon fibers [7]. 3. New Energy Sector - Focus on photovoltaic materials, lithium-ion batteries, proton exchange membranes, and hydrogen storage materials [8]. - In 2025, China's new energy heavy trucks have seen sales exceed 10,000 units for seven consecutive months, with September sales surpassing 20,000 units, marking a record high [9]. 4. Biotechnology Sector - Emphasis on synthetic biology and scientific services [10]. - A strategic cooperation agreement was signed between Zhejiang University and Shanghai Chemical Industry Park Development Co., focusing on project applications and technology exchanges [11]. 5. Energy Conservation and Environmental Protection Sector - Focus on adsorption resins, membrane materials, and biodegradable plastics [12]. - The Henan provincial government has issued an action plan for upgrading the steel industry, aiming for significant improvements in energy efficiency and environmental performance by 2025 [13]. Industry Rating and Investment Strategy - The new materials sector is expected to enter a prosperous cycle driven by downstream application sectors, maintaining a "Recommended" rating [14]. Key Companies and Earnings Forecast - A list of key companies with their stock prices and earnings per share (EPS) forecasts for 2024-2026 is provided, indicating various investment ratings such as "Buy" and "Increase Holdings" [14].

中新社记者 陈冠言 摄 9月17日，正在广西南宁举行的第22届中国—东盟博览会现场，展出的不少先进 科技产品成为焦点。今年人工智能（AI）首次赋能东博会筹备全过程，其中中国展区AI或AI赋能展品 占比超过50%，包含一批高精尖产品以及契合东盟国家市场需求的产品，AI既是本届东博会主题，也是 最大亮点。图为机器人"咖啡师"为参会者制作花式咖啡。 来源：中国新闻网 中新社记者 陈冠言 摄 9月17日，正在广西南宁举行的第22届中国—东盟博览会现场，展出的不少先进 科技产品成为焦点。图为参会者佩戴增强现实（AR）眼镜领略广西崇左风光。 中新社记者 陈冠言 摄 9月17日，正在广西南宁举行的第22届中国—东盟博览会现场，展出的不少先进 科技产品成为场上的焦点。图为工作人员演奏"空气架子鼓"吸引不少参观者。 中新社记者 陈冠言 摄 9月17日，正在广西南宁举行的第22届中国—东盟博览会现场，展出的不少先进 科技产品成为场上的焦点。图为尼日利亚网络达人博密与宇树机器人进行"拳击比赛"吸引不少参观者。 中新社记者 陈冠言 摄 9月17日，正在广西南宁举行的第22届中国—东盟博览会现场，展出的不少先进 科技产品成为场上的焦点 ...

Core Viewpoint - Meta is shifting its stance on open-sourcing AI models, with CEO Mark Zuckerberg indicating that not all superintelligence models will be open-sourced due to potential security risks [1][6][9]. Financial Performance - Meta reported a net profit of $18.337 billion for Q2, exceeding expectations, leading to a stock price increase of over 12% [1][23]. - The company's revenue for Q2 reached $47.516 billion, a 22% year-over-year increase, while net income grew by 36% compared to the previous year [23][25]. AI Strategy and Development - Zuckerberg's vision includes creating "personal superintelligence" and emphasizes the importance of careful evaluation of security risks before deciding on open-sourcing technologies [1][21]. - Meta has invested significantly in AI talent and infrastructure, with plans to invest $72 billion in AI infrastructure by 2025 [27]. - The company is focusing on developing closed-source models, which allows for better control over commercialization compared to open-source models [6][9]. Competitive Landscape - Meta aims to differentiate itself from competitors like OpenAI and Google DeepMind by developing superior open-source AI models, although recent statements suggest a potential pivot towards closed-source strategies [3][6]. - The competitive environment is intensifying, with Meta actively recruiting talent from leading AI firms to bolster its capabilities [7][27]. Future Outlook - Zuckerberg believes that the next few years will be crucial for determining the trajectory of superintelligence technology, which could either empower individuals or pose societal risks [21][22]. - Meta's strategy includes leveraging AI to enhance advertising effectiveness and user engagement on its platforms [25][27].