News

24.03.26

Humanoid Robot KAI Takes the Stage at START Hack

PhD student Pascal Sager showcased the humanoid robot KAI during an impressive halftime performance at the START Hack in St. Gallen, promoting the upcoming Davos Tech Summit.

16.03.26

Do LLMs predict the next words like our brain does?

Brain recordings show consistent patterns on the predictability of next words as language models

09.03.26

Two Paths – One Double Degree

Two universities. Two master’s degrees. One year between Winterthur and Wellington.

06.03.26

Building Switzerland’s Research Infrastructure for Autonomous Systems

CAI and ZAV are leading TESTAIR, an initiative for a new national research infrastructure designed to test and validate autonomous systems such as drones and robots in real-world environments.

02.03.26

ZHAW CAI Brings Physical AI to the Agentic Hackathon with ETH at Google Zurich

The ZHAW CAI Embodied Mobile Agents group contributed to the ETH Agentic Systems Lab's recent hackathon at Google Zurich. By providing our robotic fleet and expertise, participants were able to build agentic tooling and run MPC servers, successfully…

02.03.26

ZHAW CAI Showcased Physical AI and Robotics at the Humanoid Forum in Biel

Following successful appearances at WEF and Swiss Robotics Day, the ZHAW Centre for Artificial Intelligence (CAI) headed to the Humanoid Forum in Biel. We showcased live robotics demonstrations, presented our latest research in Physical AI and…

26.02.26

Galactic Alchemy: Deep Learning Map-to-Map Translation in Hydrodynamical Simulations

A new research publication pioneers the use of generative AI to bridge HPC simulations of the early universe with observational data obtained by radio telescopes.

24.02.26

CAI wins 4 projects in one day

With an acceptance rate of 13%, the fifth DIZH project call was very competitive; the CAI was successful with submissions on health, education, and security.

11.02.26

New graph classification method improves applications like drug discovery

Researchers from Winterthur and Venice developed a new method to improve the classification of graph-structured data: Topology-Aware Node Dropping Augmentation.

09.02.26

ZHAW’s CAI Captivates Global Audience at WEF 2026

Under the motto “Touching Intelligence,” a delegation from ZHAW’s Centre for Artificial Intelligence (CAI) showcased the future of embodied AI at the World Economic Forum 2026 in Davos.