Further news

A first group of Europe¡¯s leading university innovation hubs ¡ª including the ETH AI Center ¡ª has come together to launch Relativity Collective, a highly selective, pan?European founder programme designed to connect top university talent at a formative stage of their entrepreneurial journey.

ETH Zurich, EPFL, and the Stanford Institute for Human-Centered AI (HAI) have forged a strategic collaboration on human-centered AI. The collaboration focuses on open, large-scale foundation models and their societal impact.

As particle physicists envision the future of their discipline, one point is clear: there's much potential for exploration and discovery beyond the Standard Model.

A re-evaluation of georesources data shows that there are indications of occurrences of numerous critical raw materials such as copper, rare earths elements and lithium in Switzerland. Could their exploration mining be worthwhile?

It is the goal of ETH Zurich to treat all members of the community ¨C with or without disabilities ¨C in an open and inclusive manner. How can you contribute to this, and what support do we offer you??

A research team led by Professor Johan Gaume and postdoctoral researcher Lars Blatny has developed a model that realistically captures how snow, sand and other granular materials behave. The accompanying open-source software ¡°Matter¡± enables realistic simulations ¨C from avalanches to industrial processes.

In her work, Yilin Wang combines various subfields of mathematics and searches for simple, elegant solutions to problems. The ETH professor is motivated in her research by curiosity and an appreciation for the beauty of mathematics.?

Endometriosis is one of the most common gynecological diseases. The diagnosis of the sickness, however, can take years. The young ETH spin-off Scanvio wants to change that ¨C with the help of an AI assistant.

To make high-speed data transmission via fibre optics more robust, researchers led by ETH Zurich developed a new light-based chip. They combined plasmonics with neural networks and electronics, enabling distorted signals to be corrected quickly and energy-efficiently.