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这所港校毕业的创业者上半年狂揽15亿 高瓴、红杉等一线VC押注

吴梅梅 2026-06-15 11:13
吴梅梅 2026/06/15 11:13

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本文核心介绍了港中大系AI创业者在2026年上半年的融资成果,展现港校创业者在AI、具身智能赛道的崛起,核心干货信息如下

1.核心数据:2026年1-6月,共有15家港中大创业者创立的企业完成融资,总金额估算超15亿元,其中6家具身智能企业拿到约11.4亿元,占总融资额的76%,多数是成立仅两年左右的早期项目,投资方覆盖一线VC、产业资本和国资基金。

2.代表性项目亮点:包括华为天才少年周顺波创立的欧拉万象,成立60天连拿两轮数亿元融资,主打家庭场景养成系机器人;简智机器人抓住具身智能数据匮乏痛点做行业服务商,一年内完成四轮融资;觅深科技的AI访谈平台能将用户调研成本降低90%,上线4个月服务超300家企业。

3.创业军团崛起原因:港中大MMLab实验室多年培养AI人才,形成了创业传承网络,创业者普遍拥有学术+大厂的复合背景,更容易获得资本认可。

本文透露出当前AI、具身智能赛道的投资创业风向,能给品牌商的产品研发、战略布局提供多方面参考

1.消费与技术趋势:当前具身智能是资本热捧的核心赛道,消费级AI应用、家庭智能服务是新的增量方向,不少差异化新品获得资本支持,比如可在自主机器人和手持洗地机间切换的双形态清洁设备、AI个性化记忆产品、AI电子纸产品都拿到融资,品牌商可以关注这类新消费需求。

2.降本增效机会:传统业务环节可以借助AI完成重构,比如传统用户调研存在高成本、长周期痛点,AI访谈平台可以把调研周期从数周压缩到1天,成本降低90%,已经服务阿里、小米等头部企业,品牌商可以引入这类工具降低自身运营成本。

3.布局参考:当前资本优先认可拥有真技术、解决真痛点的项目,品牌商布局AI相关业务,可以优先对接拥有学术+大厂复合背景的创业团队,借助资本风向判断赛道机会。

本文梳理了2026年AI、具身智能赛道的最新创业动态,给各类卖家指明新的增长机会和方向,核心干货如下

1.赛道机会:当前具身智能赛道仍处于早期爆发阶段,资本密集入场,消费级家庭场景、行业基础设施服务都还有大量空白,比如家庭服务机器人、AI生产工具都有创业机会,获得资本支持的概率很高,适合有技术积累的卖家切入。

2.可借鉴的商业模式:一类是做赛道“卖铲人”,抓住行业共性痛点提供基础设施服务,比如简智机器人抓住具身智能训练数据匮乏的痛点,推出硬件+软件+数据一体化方案,成立不到一年完成四轮融资;另一类是用AI重构传统行业,靠降本增效快速获得企业客户,比如AI用户访谈平台。

3.风险提示:赛道技术门槛较高,入局者多为有学术+大厂背景的创业者,没有核心技术积累的卖家需要谨慎,且多数项目落地应用还未成熟,需要先验证市场需求再大规模投入。

本文展现了AI和具身智能赛道的创业热潮,给传统工厂带来新的商业机会和数字化转型启示,核心内容如下

1.生产端新需求:当前大量AI、具身智能初创企业都有硬件代工、供应链配套需求,比如机器人本体、可穿戴数采设备、可变形清洁设备、AI电子纸产品都需要硬件生产支持,工厂可以对接这类初创企业获得新的订单增量。

2.商业拓展机会:具身智能赛道正处于早期爆发阶段,除了终端产品,上游零部件、生产加工、供应链配套都存在大量未被满足的需求,工厂可以依托自身制造能力切入AI赛道供应链,分享赛道增长红利。

3.数字化转型启示:港中大系创业者的技术转化路径证明,前沿技术结合产业需求能获得资本和市场认可,工厂推进数字化智能化转型,可以结合自身制造优势,开发差异化智能产品,比如颗粒进化的双形态清洁机器人就是差异化产品,成功获得大额融资,值得工厂参考。

本文梳理了当前AI和具身智能的行业发展动向,给AI相关服务商带来不少参考,核心干货如下

1.行业发展趋势:当前AI、具身智能是资本热捧的热门赛道,仅2026年上半年,港中大系创业者的15个AI相关项目就拿到超15亿元融资,一线VC、产业资本、国资基金都在密集入场,赛道处于高速增长期,衍生出大量To B服务需求,服务商可以抓住这波风口布局相关业务。

2.行业核心客户痛点:目前行业公认的最大瓶颈是具身智能训练数据匮乏,此外传统用户研究存在高成本、长周期、结果难复用的痛点,家庭具身智能场景对机器人泛化能力要求高,现有产品远未成熟,大模型还存在“失忆症”的普遍性痛点。

3.可参考的成熟解决方案:针对训练数据匮乏痛点,简智机器人推出无感可穿戴数采设备+数据产线的一体化方案,采集2小时就能输出高质量加工数据,已经落地超100个真实场景;针对用户研究痛点,觅深科技用AI Agent完成全流程自动化,大幅降本增效。

本文展现了AI、具身智能赛道早期创业项目的发展现状,给平台商的招商、运营布局提供多方面参考,核心内容如下

1.平台需求机会:当前大量早期AI、具身智能创业项目有孵化、融资、产业资源对接需求,这类项目的创业者大多拥有学术+头部大厂的复合背景,技术实力强,是非常优质的孵化招商项目来源,平台商可以针对性布局AI赛道孵化业务,吸引优质项目入驻。

2.布局方向参考:当前一线VC、产业资本、国资基金都在密集布局AI、具身智能赛道,百度、蚂蚁、滴滴、小红书等产业资本都出手投资,平台商可以参考这类机构的布局方向,调整自身招商重心,重点引入具身智能、AI应用层相关项目。

3.风险规避提示:当前AI赛道项目大多处于早期,技术落地和市场需求都还未完全验证,平台在招商运营时要注意甄别项目技术实力,避免引入没有核心竞争力的跟风项目,可和头部投资机构合作筛选项目,降低布局风险。

本文记录了2026年中国AI创业领域的新动向,即港校系尤其是港中大系AI创业军团的崛起,对研究高校科研成果转化、AI产业发展有重要参考价值,核心干货如下

1.产业新动向:近年来港校加快科研技术成果转化,2026年上半年仅港中大毕业创业者就有15家AI、具身智能企业完成融资,总金额超15亿元,港校系创业者已经成为中国AI赛道不可忽视的力量,项目集中在具身智能赛道,投资方覆盖一线VC、产业资本、国资基金,资本认可度极高。

2.新商业模式总结:当前AI赛道已经跑出多种可行的早期商业模式,包括面向C端的差异化智能硬件、面向全行业的基础设施服务商、AI重构传统服务业的SaaS工具等,比如做具身智能数据服务的“卖铲人”模式、AI自动化用户访谈模式,都已经初步验证了商业化可行性,获得资本支持。

3.高校创业模式启示:港中大MMLab实验室多年培养AI人才,形成了持续的创业传承网络,创业者普遍具备“学术研究+大厂产业实践”的复合背景,这种模式为研究高校科研成果转化路径提供了新的样本。

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Quick Summary

This article highlights the fundraising achievements of AI startups founded by entrepreneurs affiliated with the Chinese University of Hong Kong (CUHK) in the first half of 2026, showcasing the rise of Hong Kong-based university founders in the AI and embodied intelligence sectors. Key takeaways are as follows:

1. Core data: Between January and June 2026, 15 CUHK-founded startups completed fundraising rounds, with an estimated total amount exceeding 1.5 billion yuan. Of this total, six embodied intelligence startups raised approximately 1.14 billion yuan, accounting for 76% of the overall fundraising volume. Most of these are early-stage projects founded roughly two years ago, with backing from top-tier venture capital firms, industrial capital, and state-owned investment funds.

2. Highlights of representative projects: Oula Wanxiang, founded by Huawei "Genius Youth" Zhou Shunbo, secured two multi-hundred-million yuan funding rounds just 60 days after its incorporation, focusing on nurture-focused robots for the home. Jianzhi Robotics operates as an industry service provider addressing the widespread shortage of embodied intelligence training data, completing four funding rounds within one year. Mishen Tech's AI interview platform cuts user research costs by 90%, and has served more than 300 enterprises four months after its launch.

3. Reasons behind the rise of this entrepreneurial cluster: CUHK's MMLab has cultivated AI talent for years, forming an interconnected entrepreneurial heritage network. Most founders combine academic backgrounds with industry experience from leading tech firms, making them particularly attractive to investors.

This article outlines current investment and startup trends in the AI and embodied intelligence sectors, offering multiple insights for brand owners' product development and strategic planning:

1. Consumer and technology trends: Embodied intelligence is currently the core sector favored by capital. Consumer AI applications and smart home services have emerged as new growth areas, with many differentiated products winning capital support. Examples include dual-form cleaning devices that switch between autonomous robots and handheld vacuum cleaners, AI-powered personalized memory products, and AI e-paper products. Brand owners can monitor these emerging consumer demands.

2. Opportunities for cost reduction and efficiency improvement: Traditional business processes can be restructured with AI. For instance, traditional user research suffers from high costs and long turnaround times, while AI interview platforms can compress the research cycle from several weeks to one day and cut costs by 90%. This tool is already used by leading enterprises including Alibaba and Xiaomi, and brand owners can adopt similar solutions to reduce operating costs.

3. Guidance for strategic planning: Capital currently prioritizes projects with proprietary technology that solve real pain points. When building out AI-related businesses, brand owners should prioritize partnering with founding teams that combine academic backgrounds and big tech experience, and use capital trends to identify promising sector opportunities.

This article summarizes the latest startup developments in the AI and embodied intelligence sectors in 2026, highlighting new growth opportunities and directions for all types of sellers:

1. Sector opportunities: The embodied intelligence sector is still in an early-stage growth phase, with heavy capital inflows. Large untapped opportunities remain in consumer home scenarios and industry infrastructure services. For example, home service robots and AI productivity tools offer strong startup potential and a high probability of attracting capital backing, making them suitable entry points for sellers with existing technical expertise.

2. Replicable business models: One successful model is acting as a "shovel seller" for the sector, providing infrastructure services to address common industry pain points. For example, Jianzhi Robotics launched an integrated hardware-software-data solution to resolve the shortage of embodied intelligence training data, completing four funding rounds in less than a year. A second model is restructuring traditional industries with AI, winning enterprise customers quickly by delivering cost reductions and efficiency gains, such as AI-powered user interview platforms.

3. Risk warning: The sector has high technical barriers, and most new entrants are founders with combined academic and big tech backgrounds. Sellers without core technical expertise should enter cautiously. In addition, most projects are yet to reach mature commercialization, so market demand should be validated before large-scale investment.

This article outlines the startup boom in the AI and embodied intelligence sectors, bringing new business opportunities and insights for digital transformation to traditional manufacturers:

1. New demand on the production side: A large number of AI and embodied intelligence startups need hardware manufacturing and supply chain support. Products such as robot bodies, wearable data collection devices, transformable cleaning devices, and AI e-paper products all require manufacturing backing, and factories can partner with these startups to secure new order growth.

2. Business expansion opportunities: The embodied intelligence sector is in an early-stage boom. Beyond end products, large unmet demand exists for upstream components, manufacturing processing, and supply chain support. Factories can leverage their existing manufacturing capabilities to enter the AI sector supply chain and capture growth dividends from the booming industry.

3. Insights for digital transformation: The technology commercialization path of CUHK-affiliated founders proves that combining cutting-edge technology with industrial demand wins recognition from both capital and the market. When advancing digital and intelligent transformation, factories can develop differentiated smart products based on their own manufacturing advantages. For example, Keli Evolution's dual-form cleaning robot is a differentiated product that successfully secured large-scale funding, making it a valuable reference for manufacturers.

This article summarizes current industry developments in AI and embodied intelligence, offering valuable insights for AI-related service providers:

1. Industry growth trends: AI and embodied intelligence are currently the most capital-favored sectors. In the first half of 2026 alone, 15 AI-related projects founded by CUHK-affiliated entrepreneurs raised more than 1.5 billion yuan, with top-tier VCs, industrial capital, and state-owned funds all entering the space heavily. The sector is in a period of rapid growth, generating substantial B2B service demand. Service providers can capitalize on this wave to build out relevant business lines.

2. Core customer pain points: The industry's most widely recognized bottleneck is the shortage of training data for embodied intelligence. Additional pain points include high costs, long cycles and poor result reusability in traditional user research, high requirements for robot generalization in home embodied intelligence scenarios that existing products cannot meet, and the widespread "amnesia" problem in large language models.

3. Proven replicable solutions: To address the training data shortage, Jianzhi Robotics offers an integrated solution of non-invasive wearable data collection devices plus a data production line, which can output high-quality processed data after just 2 hours of collection and has been deployed in more than 100 real-world scenarios. To address user research pain points, Mishen Tech uses AI Agents to automate the full workflow, delivering dramatic cost reductions and efficiency gains.

This article outlines the current status of early-stage startups in the AI and embodied intelligence sectors, offering guidance for platforms' investment attraction and operational planning:

1. New demand opportunities: A large number of early-stage AI and embodied intelligence startups need incubation, fundraising, and industry resource connection services. Most of these founders combine academic backgrounds with experience from leading big tech companies and boast strong technical capabilities, making them high-quality targets for incubation and investment attraction. Platforms can build out targeted incubation programs for the AI sector to attract top projects.

2. Guidance for strategic positioning: Top-tier VCs, industrial capital, and state-owned funds are all actively investing in the AI and embodied intelligence sectors, with industrial investors including Baidu, Ant Group, Didi, and Xiaohongshu already making investments. Platforms can align their investment attraction focus with these institutional布局, prioritizing onboarding projects focused on embodied intelligence and AI application layers.

3. Risk mitigation guidance: Most AI sector projects are still in early stages, with technical commercialization and market demand not yet fully validated. Platforms should carefully vet projects' technical capabilities during investment attraction and operations to avoid onboarding me-too projects without core competitiveness. Partnering with leading investment institutions to screen projects can help reduce layout risks.

This article documents a new trend in China's AI entrepreneurship in 2026: the rise of Hong Kong university-affiliated AI entrepreneurial clusters, particularly those linked to CUHK. It offers valuable reference for research on university technology transfer and AI industry development:

1. New industry trends: Hong Kong universities have accelerated technology commercialization in recent years. In the first half of 2026 alone, 15 AI and embodied intelligence startups founded by CUHK alumni completed fundraising, raising a total of more than 1.5 billion yuan. Hong Kong university-affiliated founders have become an unignorable force in China's AI sector, with projects concentrated in embodied intelligence. Their investor base covers top-tier VCs, industrial capital, and state-owned funds, reflecting strong market recognition.

2. Summary of new business models: Multiple viable early-stage business models have emerged in the AI sector, including differentiated consumer smart hardware, cross-industry infrastructure services, and SaaS tools that restructure traditional service sectors. Examples include the "shovel seller" model of embodied intelligence data services and the AI automated user interview model, both of which have already validated commercial viability and won capital backing.

3. Insights for university entrepreneurial ecosystems: CUHK's MMLab has cultivated AI talent for years, forming a sustainable entrepreneurial heritage network. Most founders combine academic research experience with industrial practice at leading tech firms. This model provides a new case study for research on university technology commercialization pathways.

Disclaimer: The "Quick Summary" content is entirely generated by AI. Please exercise discretion when interpreting the information. For issues or corrections, please email run@ebrun.com .

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作者 | 吴梅梅

来源 |IT桔子

谈到国内高校系的创业力量,清华系无疑是其中翘楚;而除了清北复交等大陆名校,我们观察到,近几年来,像港中大、港科大等几所港校也在发力跑通科研技术成果转化路径。

接下来我们会策划几篇港校创业者的文章,重点聚焦AI等热门赛道,看看港校的教授、学生、毕业生们的创新创业方向。

在本文中,我们首先锁定的是香港中文大学,以下简称港中大。

说起香港中文大学的毕业生,徐立和他创立的AI上市公司商汤科技是最广为人知的标杆案例。而这几年来,其实已有一批新锐的港中大AI创业者正在快速崛起。

IT桔子数据发现,仅2026年上半年,毕业于香港中文大学的创业者便有15家新锐企业崭露头角、完成融资,总融资金额估算突破15亿元人民币。

蚂蚁集团、百度风投、顺为资本、红杉种子基金、五源资本、高瓴创投等一线明星机构纷纷出手——港中大创业者,正在成为中国AI和具身智能赛道一股不可忽视的力量。

15家初创企业密集融资,

均为AI/具身智能项目

2026年1月至6月,港中大系创业者交出了一张亮眼的成绩单:15家企业完成融资,累计金额估算超15亿元。

从数据来看,这些融资的企业清晰浮现三个关键特征。

其一,具身智能、AI统治全场

从项目行业分布来看,仅有一家新能源公司“易池新能”属于港中大教授带团队孵化的,并且获得了香港中文大学的投资;除此之外,人工智能和具身智能二分天下,获投的具相关公司各有8家、6家。

不过,融资总额分布不均,具身智能(机器人)赛道的6家企业狂揽约11.4亿元,拿走了76%。其中,优理奇UniXAI、简智机器人、欧拉万象三家各获数亿元融资,位列头部。

其二,早期项目扎堆

获投的企业大部分在2024年后成立,平均创立时间仅两年,大部分融的是天使轮有8家,有几家还是种子轮,Pre-A轮、A轮很少,说明有大量新锐创业者正涌入赛道。

其三,投资方多方聚合

投资方阵容完整、全面覆盖了一线VC+产业资本+国资基金。

产业资本方面,百度风投、蚂蚁集团出手活跃,如蚂蚁和滴滴联合领投简智机器人,连小红书都投资了一家AI电子纸公司“阅星曈”;VC机构方面,红杉种子基金、高瓴创投、启明创投、五源资本等一线机构密集出手。

另外,中金汇融、招商局创投、广州产投等国资基金入场,为项目增添政策背书。

欧拉万象创立60天两轮融资,

资本争抢华为“天才少年”

欧拉万象的创始人周顺波的履历,堪称港中大AI创业者的典型样本。

他是香港中文大学机器人学博士,博士期间专注机器人视觉控制、移动机器人及3D重建与理解研究。2021年,周顺波以华为“天才少年”计划智能机器人方向唯一入选者的身份加入华为。

作为华为具身智能领域的“1号员工”,他从零开始搭建了华为规模最大的具身智能团队;连续4年负责华为云具身智能战略规划,主导构建了华为云具身智能技术体系;主导研发了华为云具身平台CloudRobo。

2026年3月,周顺波从华为离职创业,并找了曾任亚马逊AWS产品经理、华为创新云服务产品总监的张靖担任新公司联合创始人。

从港中大的实验室到华为的技术体系,再到自主创业,周顺波完成了一次典型的“学术研究-大厂实践-出走创业”三级跳。

而成立60天内连获两轮、总计数亿元融资,这样的节奏在具身智能赛道实属罕见。

欧拉万象(OlaDimensions)成立于2026年3月,到4月22日,公司宣布完成数千万元种子轮融资,由五源资本和高瓴创投联合投资——这是五源资本在具身智能赛道的首次布局。

仅仅20天后,5月13日,公司再次宣布完成数亿元天使轮融资,由招商局创投领投,赛富投资、九合创投、拙朴投资、BV百度风投、聚合投资联合跟投。

资本的密集入场背后一方面是对创始人周顺波的高度认可——“港中大机器人学博士+华为天才少年+具身智能1号员工”的履历具有无可比拟的优势。

另一方面,则是源自其差异化的竞争方向。

家庭场景高度非结构化、动态变化强,对机器人的泛化能力和长期学习能力提出了极高要求,目前家庭具身智能场景的应用还远不成熟。欧拉万象的首款Maker版产品选择面向创客和开发者群体,采用“移动底盘+双机械臂”的形态,核心卖点是开发版,拥有快速学习和持续养成的能力。

用户可以通过简单的数据采集和交互示教,让机器人逐步学习新技能并完成部署,适配多样化的家庭服务,定位是“养成系”机器人。

做具身智能“卖铲人”,

简智机器人一年融四轮

简智机器人成立于2025年5月,但它不生产机器人本体,而是为整个行业提供数据方案。

目前具身智能行业公认的最大瓶颈是训练数据匮乏。

简智机器人的核心产品包括:GenDAS无感可穿戴数采设备(覆盖“头+手”到全身的高精度数据获取)和具身智能数据产线GenADP,能在采集2小时后输出高质量加工数据,已部署于超100个真实应用场景,累计数据超一万小时。

这种硬件+软件+数据服务的一体化方案,使其成为行业所需的“基础设施提供商”。

GenRobot.AI创始人陈建兴是前Momenta算法高级总监,牵头主导了Momenta数据飞轮量产技术路线规划;联合创始人李兴龙本科毕业于香港中文大学计算机专业学士,此前在真机智能任联创。

从自动驾驶转向具身智能,陈建兴完成了一次典型的“技术经验迁移”——两者都需要解决“感知-决策-控制”问题,都需要海量真实数据训练模型。

简智机器人的融资速度堪称2026年具身智能赛道之最:成立不到一年完成连续四轮。

2025年8月种子轮,由百度风投领投;2025年12月宣布种子+轮(速腾聚创领投)和天使轮(顺为资本领投);2026年6月完成超2亿元Pre-A轮融资,蚂蚁集团、滴滴出行、德联资本领投。

红杉看中的觅深科技,

开发AI用户访谈平台

孙克强是清华大学硕士、香港中文大学MMLab博士,长期专注人机交互与人类偏好建模。他曾主导Meta第一代虚拟人项目CodecAvatar系统的研发,这段经历让他积累了关于人类表情、肢体语言和非语言沟通的深度理解。

创业前他还在商汤科技负责多业务线视觉算法落地,“中国AI龙头+美国科技巨头”的双重经历使他既懂中国AI产业的应用场景,又具备国际前沿技术视野。

2025年7月,他创立觅深科技,公司核心产品MizzenInsight是国内首个实现“小时级”交付的AI深度访谈平台,目标是用AI重构传统的用户研究行业。

对于企业来说,传统用户研究存在高成本、长周期、结果难复用等痛点。

觅深科技的解决方案是利用AIAgent覆盖完整流程:企业输入调研目标后,系统自动生成访谈提纲、筛选目标用户并发起访谈,动态追问,最终输出结构化分析结果——将传统数周的流程压缩至1天,成本降低90%。

产品于2025年12月上线,4个月内服务超300家企业客户,包括阿里巴巴、小米、美团等,累计完成用户访谈超1万小时。

仅约四个月后,2026年4月,觅深科技完成近千万美元天使轮+融资,由红杉中国种子基金领投,达晨创投和嘉程资本超额跟投。

十年树木,百年树人,

从港中大走出的AI创业者还有更多

港中大AI创业军团的崛起,很大一部分源于2001年汤晓鸥教授亲手创立的多媒体实验室(CUHK MMLab)——MMLab的研究高度聚焦于计算机视觉和机器学习的前沿,其培养出的一代又一代AI人才,形成了独特的创业传承网络,其中有不少甚至还曾在商汤共事过。

从商汤科技到今天的 欧拉万象 、觅深科技、简智机器人,“学术+产业”的复合背景、导师与创业者之间的紧密连接、对应用场景的深刻洞察,构成了港中大系AI创业者持续获得资本青睐的核心密码。

除此之外,还有其他十余家港中大系初创企业斩获资本的认可。

阅星曈创始人兼CEO胡宇沸是一位连续创业者,他毕业于香港中文大学,曾任独角兽公司新石器无人车COO、印度OYO酒店首席发展官、小蓝单车联合创始人兼COO等。

2024年他创立AI超便携电子纸品牌“阅星曈”,今年1月、4月宣布天使轮、A轮融资,最新投资方包括顺为资本、经纬创投、小红书、博裕资本、万物资本等。

2026年4月,颗粒进化xLean完成A轮数千万美元融资,由国方创新、华业天成、五源资本、万世资本、高樟资本联合领投,原有股东跟投。

xLean成立于2022年6月,创始人薛轲翰是一位00后创业者,博士深造于香港中文大学,曾获多项机器人竞赛冠军。旗下首款产品xLeanTR1历时近四年研发,是全球首创的双形态可变形清洁设备,能在“自主清洁机器人”与“手持洗地机”之间切换。

MemoraX AI成立于2026年3月,创立仅数月便完成数千万美元种子轮和种子+轮融资,公司聚焦大模型个性化记忆赛道,解决大模型“失忆症”问题,提供模型内生记忆解决方案。

创始人郝建业2007年在香港中文大学攻读博士,后出国深造,2015年回国加入天津大学,还曾先后担任华为决策推理实验室主任、华为大模型算法实验室主任、华为医疗军团技术总裁,是华为决策智能方向的首席专家。

可以说,2026年,在具身智能投资热潮席卷全球的当下,港中大的AI创业者实力不可小觑,他们的实践和创意值得拭目以待。

注:文/吴梅梅,文章来源:IT桔子(公众号ID:itjuzi521),本文为作者独立观点,不代表亿邦动力立场。

文章来源:IT桔子

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