Artificial intelligence is forcing universities to reinvent how they teach and assess students’ knowledge. According to Dan Schwartz, an expert in learning science at Stanford, the challenge goes well beyond deciding whether to let AI into the classroom – teachers need to think long and hard about what students should really learn.

The Apertus team, a group of researchers at EPFL, ETH Zurich, and the Swiss National Supercomputing Centre (CSCS), partners with Swiss technology company Proton to make Apertus 1.5 available in Lumo, Proton’s AI assistant. This enables researchers to gain direct feedback from real-world use for the first time.

A team at EPFL have developed a framework that trains Large Language Models to create AI systems that can find the best possible setup or “recipe” for a scientific experiment.

Current AI, a global partnership building a public option for AI, has launched Alpha Chat, an experimental open-source chatbot powered by Apertus, Switzerland’s sovereign large language model. The prototype demonstrates how Apertus can be integrated into applications developed by external organizations.

As AI assistants evolve into AI agents, a new EPFL study has found that the biggest safety risks in their use may not come from single malicious prompts, but from carefully orchestrated conversations.

EPFL researchers have developed an AI model that analyzes tumor tissues across many cancer types. In the long term, it aims at helping identify and better predict treatment response and patient outcomes.