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北京国资出手,面壁智能完成数亿元新一轮融资、加码端侧大模型研发
Sou Hu Cai Jing· 2025-10-11 14:16
Core Insights - The article highlights that Mianbi Intelligent has completed a new round of financing amounting to several hundred million yuan, aimed at enhancing the development of large models and accelerating commercialization efforts [1][4]. Company Overview - Mianbi Intelligent was established in 2022, focusing on innovation and application transformation in large model technology [4]. - The founding team is from Tsinghua University, specifically the Natural Language Processing Laboratory [4]. - Li Dahai, previously with Zhihu, became the CEO of Mianbi Intelligent in 2023, while Liu Zhiyuan, a co-founder and chief scientist, is an associate professor in the Department of Computer Science and Technology at Tsinghua University [4]. Financing Details - The recent financing round was led by Beijing's state-owned investment platform "Jingguorui" and market-oriented venture capital fund "Mijuhua" [1]. - The funds raised will primarily be used to increase research and development efforts on the end-side large models and to promote the commercialization process [1].
大湾区AI安全发展联合实验室,何以在深圳启动
9月15日,粤港澳大湾区生成式人工智能安全发展联合实验室(简称"联合实验室")正式揭牌成立。 联合实验室理事,深信服公司亚太区总裁、深信服(香港)总经理姚成志:深圳的区位优势可以吸引更 多国际化人才参与联合实验室建设。 深圳在地理上比较接近香港,而香港是个比较国际化的城市,可以更多吸引到国际化人才来到这边工 作。 联合实验室专家、广州大学网络空间安全学院教授齐佳音:深圳AI产业发展代表全国较高水平,联合 实验室落地深圳是正确的选择。 深圳在人工智能领域的地位毋庸置疑,代表着大湾区、全国一个高的水平。而这次的AI联合实验室能 以产业拉动整体产出,对于产业起到支撑的作用,所以我认为,将AI联合实验室放在深圳是非常正确 的一个选择。 联合实验室理事,广州云蝶科技公司创始人、CEO田雪松:广东的优势在于我们有丰富的产业场景, 能够让人工智能企业扎根。 联合实验室为何在深圳率先落地?对此,联合实验室多位理事成员和专家向21世纪经济报道记者表示, 在深圳落地大湾区AI安全发展联合实验室是非常正确的一个选择,深圳的硬件基础可以与大模型优势 相结合,同时依托区位优势吸引更多国际化人才参与建设,让更多AI企业到广东扎根。 联合 ...
端侧大模型:是噱头还是未来?| 直播预告
AI前线· 2025-09-13 05:33
端侧大模型是噱头还是未来?9 月 16 日晚上 8 点,看蚂蚁集团 / 华为 / 北邮的技术专家现场激辩。「点击预约下方直播」 直播介绍 端侧大模型,是真突破还是伪需求? 算力墙、系统架构、应用落地全解读 开发者和初创公司的切入机会点 直播时间 9 月 16 日 20:00-21:30 直播主题 端侧大模型:是噱头还是未来? 直播嘉宾 主持人 / 嘉宾: 朱世艾 博士 :蚂蚁集团 xNN 引擎负责人,支付宝多模态应用实验室研究员 嘉宾 直播亮点 徐梦炜 博士:北京邮电大学副教授、博士生导师 章武:华为 CANN 端侧生态技术专家 如何看直播? 扫描下图海报 【二维码】 ,或戳直播预约按钮,预约 AI 前线视频号直播。 V 开发者和初创公司的切入机会点 端侧大模型是噱头还是未来? 今晚 8 点,看 蚂蚁集团 / 华为 / 北邮的技术专家现场激辩。 扫码预约 >> 直播福利 端侧 AI 资料包 提前布局技术储备, 借创新视角突破现有业务瓶颈 区 了解端侧智能面临的核心技术难题 区 解锁端侧 AI 技术落地的实战方法论 ☑ 了解端侧运行大模型的一些优化策略以及相关的技术 探索 区 洞悉端侧智能未来的发展方向和潜在机 ...
面壁智能完成新一轮数亿元融资 重点布局端侧大模型
Group 1: Company Overview - The company, Mianbi Intelligent, has completed a new round of financing amounting to several hundred million yuan, with investments from Hongtai Fund, Guozhong Capital, Qingkong Jinxin, and Moutai Fund [1] - Mianbi Intelligent was founded in August 2022 and is incubated by Tsinghua University's NLP laboratory, with co-founder Liu Zhiyuan serving as the chief scientist [1] - Since 2024, Mianbi Intelligent has completed three rounds of financing, with the last round also being several hundred million yuan [1] Group 2: Market Strategy - Mianbi Intelligent adopts a "small to big" strategy, focusing on low-cost, relatively small parameter models to achieve high efficiency, which has gained recognition in the industry [2] - The company is one of the early adopters of the "edge large model" strategy, which refers to AI models that run locally on devices like smartphones and PCs, independent of cloud servers [2] - The edge large model is expected to accelerate penetration into the industry by 2025, with multi-modal interaction scenarios maturing and widespread applications in consumer electronics [3] Group 3: Commercialization Progress - Mianbi Intelligent's edge large model platform, MiniCPM series, has surpassed 10 million downloads [5] - The company launched its first edge full-modal model, MiniCPM-o 2.6, with a parameter scale of only 8 billion, capable of image understanding and multi-modal real-time interaction [5] - Mianbi Intelligent has made significant strides in the automotive sector, with the first mass-produced model featuring its edge model, the Changan Mazda MAZDA EZ-60, hitting the market [6] Group 4: Industry Impact - The edge AI market in China is projected to grow to approximately 1.9 trillion yuan by 2028, driven by explosive demand for intelligent and real-time capabilities in edge devices [4] - The deployment of AI large models on the edge addresses issues related to network latency, privacy, and computing costs, unlocking the computational potential of devices [4] - Mianbi Intelligent has also ventured into vertical fields such as law and education, assisting in the development of AI systems for judicial processes and educational support [6]