ETH Zurich researchers have developed a method that makes AI responses increasingly reliable. Their algorithm specifically selects data relevant to the question. In addition, even AI models up to 40 times smaller achieve the same output performance as the best large AI models.
ETH Zurich and Zühlke have conducted a study on how companies use AI technologies. A total of 633 companies from the fields of production, technology, healthcare and finance from the DACH region, the UK and the US were surveyed. Stefano Brusoni, Professor of Technology and Innovation Management, explains in an interview where the greatest potential lies and where Europe needs to catch up.
New miniature laboratories are ensuring that artificial intelligence (AI) doesn’t make mistakes. They provide a controlled test environment where algorithms and AI models can be checked before being put to work under real-life conditions. The aim is for AI to work reliably.
Of all places, Switzerland – the most innovative country in the world – suffers from a shortage of new digital technologies reaching the market in the healthcare sector. Researchers from ETH Zurich have been investigating how innovations can be developed responsibly and implemented faster.
