解决了传统柔性电极在大脑中易移位、易脱出的核心痛点。 作者丨杨婧雪 编辑丨刘恒涛 2月11日，侵入式柔性电极脑机接口公司智冉医疗宣布完成A+轮融资，本轮融资金额达3亿元，由中 科创星领投，老股东君联资本、北京市医药健康产业投资基金、IDG资本、顺为资本、联想创投、元 生创投、红杉中国、美团龙珠、BV百度风投、杏泽资本、佳银资本持续跟投。据悉，本轮融资将主要 用于推进大规模临床试验与高通量柔性脑机接口产品迭代，加速该技术向临床应用落地。 | | | 北京智冉医疗科技有限公司--融资历程 | | | | --- | --- | --- | --- | --- | | 融资轮次 | 事件时间 | 融资金额 | 估值/市值 | 投资方 | | | | | | 中科创星领投 BV百度风投 | | | | | | IDG资本 | | | | | | 佳银基金 | | | | | | 顺禧基金 | | A+轮 | 2026年2月11日 | 3亿人民币 | 未披露 | 君联资本 Legend Capital | | | | | | 元生创投 | | | | | | 美团龙珠 | | | | | | 联想创投 | | | | ...

以下文章来源于天下网商 ，作者天下网商 天下网商 . 记录互联网商业的人物和故事。 来源丨 天下网商（ID：txws_txws） 作者丨黄天然 图源丨Midjourney 在中国家庭里，一张小小的婴童餐桌上的"战事"，近来愈加白热化。 继爷爷的农场在2026年1月向港交所递交招股书后，英氏控股在北交所的IPO申请也已经过会，距 离"婴儿辅食第一股"只差临门一脚。在两大龙头企业掀起的资本热潮之下，宝宝馋了、窝小芽、禾泱 泱等国产品牌表现也很强劲，市场渗透率持续提升。 如今的婴童零辅食市场，呈现出与出生率相悖的火热态势，折射着新一代中国父母对于科学喂养、精 细化育儿的关切。 婴儿出生后6个月开始补充的辅食，已经从原本的"可选补充品"成为了新一代家庭的"新刚需"。如今 的新手父母们也变得更"讲究"了，在产品类型上，他们会从多品类入手，并非仅购买单一的谷物类过 渡性辅食，还有佐餐辅食（肉酥、猪肝粉、海苔碎）、调味营养品（核桃油、DHA鱼油、松茸鲜） 等，以满足其多重营养及发育需求；在消费场景上，也延伸到户外出游、社交分享、便捷烹饪等更为 细分化的食用场景和需求。 "从2025年的情况看，无论是从确收维度，还是买家数量 ...

Core Viewpoint - The article discusses the IPO of Haizhi Technology, which focuses on using "graph-model fusion" technology to address the hallucination issues of AI models, highlighting its business model, market potential, and investment backing [3][4][15]. Company Overview - Haizhi Technology went public on February 13, with an IPO price of HKD 27.06 per share, raising approximately HKD 760 million. The stock opened with a 204% increase, reaching a market capitalization of over HKD 32.9 billion [3][4]. - The company was founded by Ren Xuyang, a former Baidu executive, and has attracted significant investment from various venture capital firms and strategic funds [4][10]. Business Model and Technology - Haizhi Technology utilizes "graph-model fusion" to effectively reduce AI hallucinations, combining structured knowledge graphs with flexible language models to enhance decision-making in high-accuracy sectors like finance and government [15][16]. - The company's main offerings include the Atlas Graph Solution and Atlas Intelligent Body Solution, which leverage graph computing and data analysis capabilities [16][18]. Financial Performance - Revenue projections for Haizhi Technology from 2022 to 2024 are CNY 313 million, CNY 376 million, and CNY 503 million, respectively, with a compound annual growth rate (CAGR) of 26.8%. The gross margin is expected to increase from 30.9% in 2022 to 36.3% in 2024 [18][19]. - The company has not yet achieved profitability, with net losses of CNY 176 million, CNY 266 million, and CNY 93.73 million over the past three years [21]. Investment and Shareholding - Major shareholders include Ren Xuyang with 5.38% and institutional investors like Junlian Capital (12.68%) and BAI Capital (6.05%) [5][10]. - The IPO attracted cornerstone investments totaling approximately USD 15 million (about HKD 117 million) from four key institutions [4][10]. Market Potential - The market for AI solutions centered around graph technology is projected to reach CNY 10 billion by 2024, with Haizhi Technology positioned as a leading player in this niche [27]. - The overall market for industrial AI solutions in China is expected to grow from CNY 12.5 billion in 2020 to CNY 453 billion by 2024, with a robust CAGR of 37.9% [32]. Future Plans - The company plans to allocate approximately 45% of the raised funds to enhance its graph-model fusion technology and 20% to optimize its Atlas Intelligent Body [25]. - Haizhi Technology aims to expand its market presence in Hong Kong and Singapore, utilizing about 15% of the funds for international market development [25].

Core Insights - The recent releases of OpenAI's GPT-5.3-Codex and Anthropic's Claude Opus 4.6 indicate a significant milestone in AI evolution, where AI can now meaningfully participate in its own improvement [2][4] - This development suggests a shift from human-designed AI to AI-assisted design, and potentially to AI-led design, marking a rapid progression in AI capabilities [4] Self-Evolution of AI - OpenAI's CEO expressed excitement about the model's ability to build itself, indicating a future where AI can iteratively improve its own architecture [4] - However, analysts have noted a gap between marketing promises and actual performance, highlighting that while concepts have advanced, practical capabilities are still developing [4] Reconstruction of Knowledge Work - The ability of AI to self-iterate could fundamentally disrupt knowledge-based jobs, leading to a complete restructuring of the knowledge work system [6] - Analysts predict that advancements in AI will stem from improvements in reasoning and architecture rather than just training, indicating a shift towards AI possessing metacognitive abilities [6] Implications for Human Expertise - As AI gains self-reflection and improvement capabilities, the unique advantages of human experience, pattern recognition, and innovative thinking may be challenged [9] Control and Safety Concerns - The most pressing concern is not job displacement but the issue of control over AI systems, as they may develop optimization paths beyond human understanding [11] - Discussions in tech communities reflect skepticism about the reliability of performance metrics for self-improving AI, raising questions about the effectiveness of traditional evaluation and regulatory frameworks [11] Competitive Landscape - A report indicates that by 2024, nearly 90% of leading AI models will originate from the industry, with competition shifting from research labs to large-scale computing companies and well-funded AI-focused firms [12] - The ability to achieve true self-iteration in AI will be a critical factor in determining leadership in the upcoming knowledge work revolution [12]

欢迎加入 睿兽分析会员 ，解锁 AI、汽车、智能制造 等相关 行业日报、图谱和报告 等。 1.【多家车企明确2027年计划开展全固态电池装车示范工作】记者获悉，吉利汽车、奇瑞汽车等多家 车企近日披露各自全固态电池产业规划方案。吉利控股高级副总裁兼CTO沈源表示，公司在全固态电 池领域布局了三大技术路线，在应用规划方面，短期目标是2026年完成样车首发；2027年全固态电 池实现小批量产业化；长期目标是2030年完成全固态电池的产业化布局，并在高端车型上批量上 市。奇瑞汽车副总裁古春山表示，公司计划2026年实现0.5GWh中试线投产、PACK样包下线，完成 60Ah级全固态电芯的连续化生产；2027年正式启动全固态电池装车示范工作，推动技术从产线走向 实车验证，逐步实现规模化应用落地。（财联社） 2.【MinerU完成10余家国产AI芯片算力适配】2月12日消息，目前上海人工智能实验室 OpenDataLab团队、DeepLink团队及国产芯片厂家合作，已完成昇腾、平头哥、沐曦、海光、燧 原、摩尔线程、天数智芯、寒武纪、昆仑芯、太初元碁、壁仞等10余家主流国产算力的适配。 MinerU为上海人工智能实验室研发 ...

Group 1 - The core viewpoint of the article highlights significant advancements in AI technology and its applications across various sectors, including video generation, robotics, and e-commerce [3][5][16]. - The release of Seedance 2.0 by Doubao Video Generation Model marks a notable step in AI-driven content creation, with plans for further improvements based on human feedback [3]. - Starry Sky, a company founded by a 34-year-old Tsinghua graduate, achieved a valuation of over 10 billion yuan within 28 months, indicating rapid growth in the embodied intelligence sector [7][9]. Group 2 - Zhao Ming, former CEO of Honor, is set to join Qianli Technology as co-chairman, focusing on AI business model strategies [11]. - ByteDance's AI chip team has expanded to over 1,000 members, reflecting the company's increasing emphasis on chip development to meet growing computational demands [11]. - Grab reported a net profit of $200 million for the year, reversing a previous loss, with a 20% revenue growth to $3.37 billion [16]. Group 3 - Anthropic raised $30 billion at a valuation of $380 billion, positioning itself among the most valuable private tech companies globally [16]. - Apptronik completed a $520 million financing round, with notable investors including Google and Mercedes-Benz, indicating strong interest in humanoid robotics [16]. - Xiaomi announced the open-sourcing of its first-generation robot VLA model, showcasing advancements in visual language understanding and real-time execution capabilities [18].

Core Viewpoint - Transsion Holdings, known as the "King of Africa," has experienced a significant decline in net profit, dropping from 55.49 billion to 25.46 billion, a decrease of 54.11%, despite a slight revenue drop of 4.58% to 655.68 billion in 2025 [6][12]. Group 1: Company Background and Success - Transsion's success is attributed to its strategic focus on the African market, which was largely overlooked by global giants, and its ability to meet local consumer needs with affordable, durable, and feature-rich mobile phones [7][8]. - The company gained a strong market position by offering innovative features such as four-SIM support and tailored camera algorithms for darker skin tones, which resonated well with African consumers [8][10]. - Transsion's revenue grew from 253.46 billion to over 600 billion in four years, with a compound annual growth rate exceeding 30% [10]. Group 2: Profit Decline and Challenges - The decline in profit is attributed to rising global storage chip prices, which increased by over 40%, forcing Transsion to consider a price hike of 17% on its low-cost phones, a move that could jeopardize its market share in price-sensitive regions [12][13]. - Increased competition from domestic brands like Xiaomi and Honor has led to higher sales and marketing costs for Transsion, further eroding its profit margins [13][15]. - The company's high-margin feature phone business is rapidly shrinking, with its revenue share dropping to 5.86%, while lower-margin smartphones now account for 83.87% of its revenue [13][15]. Group 3: Strategic Shifts and Future Outlook - Transsion is attempting to diversify its business by investing approximately 20 billion in energy storage and electric vehicles, although this new venture only contributed 8.8% to its revenue in the first half of 2025 [15][18]. - The company faces a significant challenge in transitioning to an AI-driven market, as competitors have already established strong technological foundations [18]. - The loss of 30 billion in profit signifies the end of an era for Transsion, which must now focus on innovation, brand value, and operational efficiency to maintain its market position and profitability [18][20].

1.【字节跳动：Seedance 2.0还远不完美，将持续探索大模型与人类反馈的深度对齐】2月12日，字 节视频创作模型Seedance 2.0正式发布。字节跳动官微发文表示，Seedance 2.0还远不完美，其生 成结果仍存在诸多瑕疵。未来将持续探索大模型与人类反馈的深度对齐，让更高效、更稳定、更具想 象力的音视频生产工具，服务更多创作者。据了解，该模型支持多模态全能参考，允许组合输入不同 文本、图片、视频、音频，同时新增视频编辑能力，支持对指定片段、角色、动作或剧情进行定向修 改，还提供了视频延长功能。目前，该模型已上线即梦AI、豆包等平台。（界面新闻） 欢迎加入 睿兽分析会员 ，解锁 AI、汽车、智能制造 等相关 行业日报、图谱和报告 等。 海联 17万+ t 2万 投资价值企业 O 投资机构 及上市公司 5077 国家高新 小时一手资讯 技术企业 C = = = = = 线 -20 FF 创投人物 投融资及收并购事件 热门产业 创新机会 T= l 谱 2万+LP数据 全牛命周期 10万+基金数据 独角兽企业 各维度权威榜单 1万+专精特新小巨人 1400 FITI ER 十子标签 产业图谱 行业标签 ...

Core Insights - The article discusses the ongoing competition among Chinese tech giants for AI entry points and ecosystems, highlighting Tencent's significant investment and the strategic shift of Berkshire Hathaway in selling Apple shares to buy Google stock, indicating a re-evaluation of ecosystem competitiveness in the AI era [5][9][32]. Group 1: Investment Strategies - Warren Buffett's regret over missing early investment opportunities in Google has led to a strategic shift, where Berkshire Hathaway sold $10.6 billion worth of Apple shares and invested $4.3 billion in Google, marking a significant change in its portfolio [9][10]. - The decision to invest in Google aligns with Buffett's long-standing preference for companies with strong ecosystems, as Google has developed a comprehensive AI ecosystem that integrates hardware, software, and services [11][12]. Group 2: Google's AI Ecosystem - Google has established a full-stack AI ecosystem, integrating chips (TPU), models (Gemini), and cloud services, which has proven effective in enhancing its competitive position in the AI market [17][20]. - The TPU chip provides cost advantages and autonomy, allowing Google to meet its internal AI computing demands while reducing reliance on external suppliers [20][21]. - Google's Gemini models have shown superior performance compared to competitors, with Gemini 3 leading in various benchmarks and achieving significant user engagement [23][26]. Group 3: Market Performance and Trends - Google's cloud revenue grew by 33.5% year-over-year to $15.16 billion in Q3 2025, with operating profit reaching $3.59 billion, indicating strong market performance [27][28]. - The integration of AI into Google's advertising and cloud services has created a positive feedback loop, enhancing user experience and driving revenue growth [26][27]. - The competitive landscape is shifting, with companies like Amazon, Meta, and Microsoft facing challenges in AI capabilities and cloud services, highlighting the importance of building self-sustaining ecosystems [35][37][39]. Group 4: Competitive Landscape - Amazon's AWS is losing market share due to late entry into generative AI and challenges in model and chip development, despite its strong customer base [35][36]. - Meta struggles with model capabilities and lacks a cloud business, impacting its ability to leverage AI effectively [37]. - Microsoft's reliance on partnerships for AI capabilities, coupled with a lack of proprietary models, may hinder its competitive edge in the evolving AI landscape [39][40]. Group 5: Future Implications - The article emphasizes that only companies that can build self-reinforcing ecosystems will thrive in the AI era, as demonstrated by Google's early investments in AI technology [33][43]. - The ongoing competition among tech giants for AI dominance will shape the future landscape, with successful players likely to see significant valuation increases [34][44].

Group 1 - BMW will recall hundreds of thousands of vehicles globally due to potential safety hazards related to the engine start device, affecting cars produced between July 2020 and July 2022, with estimates of up to 575,000 vehicles involved [2] - In January, the retail sales of passenger cars in China reached 1.544 million units, representing a year-on-year decline of 13.9%, reflecting a trend of significant fluctuations in January sales over recent years [2] - WeRide and Uber have launched the first Robotaxi commercial operation service in downtown Abu Dhabi, expanding their operational coverage to approximately 70% of the core area since the service began in December 2024 [2] - Waymo plans to exceed 1 million weekly paid ride-hailing orders in the U.S. by the end of this year, with plans to launch services in over 20 cities including Tokyo and London, following a $16 billion funding round that valued the company at $126 billion [2]