AI与硬件结合
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11月公募调研频次逾4200次 电子等行业备受关注
Zheng Quan Shi Bao Wang· 2025-12-01 06:33
立讯精密成为当月最受公募关注的个股,获调研次数达142次,明显领先于其余个股。立讯精密属于电 子行业,主营业务核心是电子连接器及其相关零部件的研发、生产与销售。在回答调研者提问时,公司 表示,目前,无论是传统硬件品牌客户,还是国内外大模型软件公司,都在积极探索AI与硬件结合的 形态。当前尚未出现能完美匹配AGI的单一产品形态。考虑到手机常置于口袋,会隔绝部分信息,而眼 镜和耳机因其佩戴的特性,被认为是目前最接近AI载体的硬件产品。许多客户正积极在这两类产品上 进行新尝试,预计明年将有多种形态的产品面世。公司预计2026年至2027年,AI硬件将迎来显著的变 革和爆发式的增长。公司将持续紧密关注主要客户的战略布局,以制定未来的发展策略。公司认为AI 硬件产品成功的关键在于其能够随时随地使用,且不会给用户带来负担,并兼顾隐私性。 11月公募调研次数排名前十个股在行业上较为集中,主要集中在机械设备、电子和医药生物三大行业, 尤其是机械设备行业,前十占到4席,这4只个股分别是汇川技术、博盈特焊、杰瑞股份和中控技术,依 次获调研81次、71次、65次和58次。从调研方向来看,公募机构重点关注了汇川技术自动化业务高增长 ...
对话图灵机器人俞志晨:AI玩具需解决多个问题,真正规模化仍需时间
Xin Lang Ke Ji· 2025-09-13 11:41
Core Insights - The company is focusing on the development of vertical AI models, particularly in the education sector, which requires overcoming technical barriers such as model distillation and domain-specific data training [1][2] - The company has achieved an annual shipment of over 20 million units of smart hardware, including AI lamps, smart pens, and wearable devices [1] - The company emphasizes the importance of high-quality data training and model compression driven by scene demands in the development of vertical models [1] Company Strategy - The company has a team of approximately 200 employees, with 70% being research and development personnel [2] - The financing strategy will be adjusted based on business needs, and the company is currently collaborating with local governments to create new educational formats like "AI self-study rooms," with pilot projects launched in Guangxi and Jiangxi [2] - The company acknowledges the potential of the AI toy market but highlights challenges such as low price points and immature business models that need to be addressed for scalability [2] Technology and Product Development - The company has over 7 years of experience in integrating AI with hardware, utilizing a "semi-offline semi-online" technology solution to balance cost and performance [1] - The company’s hardware products are designed to upgrade traditional devices with AI capabilities, considering market size, cost of technology solutions, and user acceptance [1]