Artificial Intelligence
How law-abiding is AI? ETH researchers put it to the test
Research
ETH Zurich
The EU AI Act is designed to ensure that AI is transparent and trustworthy. For the first time, ETH computer scientists have translated the Act into measurable technical requirements for AI. In doing so, they have shown how well today's AI models already comply with the legal requirements.
“You can ask a chatbot things you might not dare to ask in a lecture”
Teaching
ETH Zurich
Where is generative AI already proving its worth in teaching and what are its limits? Will avatars soon replace lecturers? In this interview, Jan Vermant, Vice Rector for Curriculum Development, talks about trends at ETH and his own experiences.
Scientists explore the complexity of rocks within the Earth's crust
Research
EPFL
A team of EPFL scientists has provided insight into the mechanisms at work in geothermal reservoirs located deep underground, known as supercritical reservoirs. Through a combination of computer simulations and lab experiments, they showed that rocks located between five and eight kilometers deep in the Earth’s crust are also permeable to fluids. 
ETH continuing education course addresses ethics in AI
Teaching
ETH Zurich
The first edition of the CAS ETH Machine Learning in Finance and Insurance course is coming to an end. Participants particularly value the programme’s combination of technology, ethics and practice with a view to making responsible use of artificial intelligence at their companies.
ETH Zurich and EPFL enhance collaboration to boost AI in Switzerland
Research
ETH Zurich EPFL
ETH Zurich and EPF Lausanne (EPFL) are intensifying their collaboration in artificial intelligence (AI). They have founded the Swiss National AI Institute (SNAI) with the aim of addressing challenges in AI by leveraging their broad scientific expertise. Funding for the related research programs has been secured.
Modeling the minutia of motor manipulation with AI
Research
EPFL
An AI research collaboration led by EPFL professor Alexander Mathis creates a model which provides deep insights into hand movement, which is an essential step for the development of neuroprosthetics and rehabilitation technologies.
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