人工智能

大苏黎世区的研究人员希望机器不仅有更强大的应用功能，而且还能更好地进行机器学习。苏黎世联邦理工学院（ETH）的Max Planck ETH中心学习系统实验室，正在研究生物智能的构成。苏黎世大学的机器人与感知小组的使命是开发自动机器人，这些机器人可以直接使用车载摄像头自行导航，而无需依赖GPS或运动捕捉系统等外部设施。在卢加诺，瑞士AI实验室IDSIA（Istituto Dalle Molle di Studi sull'Intelligenza Artificiale）的工作重点是机器学习（深度神经网络，强化学习），运维学，数据挖掘和机器人技术。

Google一直在大力投资大苏黎世区（这里是Goolge在美国以外最大的园区），Google增加的约3,000名的员工都是AI和机器学习专家，并计划增加该地区的总员工人数到5,000名。越来越多的跨国企业，如Teralytics、Starmind和Squiro等尖端初创公司，以及Apple、迪士尼、Meta、Google、Go-Pro、华为、IBM、Magic Leap、微软、甲骨文和三星等，都在瑞士设有研发实验室，许多企业与瑞士大学以及科研机构进行合作。

As of 2025, Switzerland has not adopted a dedicated AI law. Instead of pursuing a comprehensive regulatory framework like the EU AI Act, Switzerland is taking a tailored, sector-specific approach. This includes implementing Europe’s AI Convention and making targeted adjustments to existing laws, while also promoting non-binding measures to encourage responsible AI practices. 

Switzerland’s strategy emphasizes openness, public infrastructure, and transparency. Its development of a national large language model (LLM) as open-source software reflects a commitment to technological sovereignty and contribution to global knowledge commons, marking a shift toward more collaborative and inclusive AI development. 

This contrasts sharply with international approaches: the EU’s binding, risk-based AI Act; China’s state-controlled and ethics-centered framework; the U.S.’s market-driven, decentralized stance; and Singapore’s transparency-focused GenAI initiative. 

By balancing innovation and safety, Switzerland positions itself as a middle path in global AI governance - aligned with European values, yet open and innovation-driven at its core.

The outstanding academic institutions and high concentration of R&D labs by private companies attract a large and highly skilled talent pool to the Greater Zurich Area. According to Sequoia’s Atlas, Zurich ranks third out of 24 European cities in AI talent share – pretty impressive when considering its size. When comparing the density of AI talent, Zurich stands out with the second highest in Europe, representing 14% of the city’s local talent pool. This highlights the Greater Zurich Area’s unique position as a densely concentrated hub of AI expertise.

苏黎世大学名誉教授，前AI研究实验室负责人Rolf Pfeifer博士是90年代对人形机器人和人工智能感兴趣的极少数人之一。经过一系列不成功的算法实验，他在90年代经历了从算法研究到机器人技术研究的工作转变。他得出的结论是，人工智能必须是一个独立的有机体。如今，Pfeifer提出，现实的通信和具体概念实践的是应对“ AI炒作”的关键。在Pfeifer的研究的基础上，最近在楚格成立的Mindfire基金会致力于了解构成人类智能的基本原理，并将这些原理应用于人工智能有机体的发展。为了实现这一目标，Mindfire展开了一系列作业。每个作业都聚集了各个科学领域的顶尖人才，通过更好协作、集思广益，以应对未来一系列的挑战。