In-depth Stories

The HistoPlexer deep learning model can predict multiple protein markers from standard tissue images. This makes a key step in cancer research faster, more accessible, and more affordable than current approaches. In this interview, ETH researcher Sonali Andani explains how it works and what it could mean for the future of cancer diagnostics.

Yannis Chronis will take up his position as a Tenure Track Assistant Professor in August. In this interview, he talks about his goals at ETH Zurich, the importance of data management in the context of the rapid rise of AI, and the responsibilities that accompany these new technologies.

ETH professor Ueli Maurer has provided cryptography with a theoretical basis. Now he is retiring. However, his most important research project is yet to come.

ETH Zurich and EPFL will release a large language model (LLM) developed on public infrastructure. Trained on the “Alps” supercomputer at the Swiss National Supercomputing Centre (CSCS), the new LLM marks a milestone in open-source AI and multilingual excellence.

A recent course offering at ETH Zurich entitled “Large-Scale AI Engineering” helps students hone necessary skills for developing and optimising next-generation AI technologies. With access to “Alps,” one of Europe’s largest AI-ready systems, participants are gaining practical experience at the frontier of generative AI on a world-class supercomputer.