Artificial Intelligence
New app unmasks forged documents
Research
ETH Zurich
Researchers at ETH Zurich have developed a smartphone app that can be used to check the authenticity of documents and other items. Extracts from the debt enforcement register of the City of Zurich are being made forgery-proof as part of a pilot project.
Climate-friendly renovations using straw and hemp
Research
ETH Zurich
Renovating buildings to improve their energy efficiency is a crucial step towards Switzerland achieving its climate targets. ETH Zurich researchers can now reveal the most effective renovation strategies for reducing greenhouse gas emissions: replace fossil-fuel heating systems and harness the potential of bio-based building materials like straw and hemp.
AI-powered system maps corals in 3D in record time
Research
EPFL
An artificial intelligence system developed at EPFL can produce 3D maps of coral reefs from camera footage in just a few minutes. It marks a major leap forward in deep-sea exploration and conservation capabilities for organizations like the Transnational Red Sea Center (TRSC).
Faster diagnosis of endometriosis with AI
TechTransfer
ETH Zurich
ETH spin-off dAIgnose is developing an algorithm that can be used to analyse ultrasound images of the womb on an automated basis. This should enable doctors to diagnose endometriosis more quickly in the future.
AI-based predictions — A blessing or a curse?
Research
ETH Board
Artificial intelligence (AI) promises to revolutionise the way we make predictions. But how reliable are such predictions and modelling? What issues of trust arise? There are different approaches to analysing, translating and predicting the future with AI and the ETH Domain has recognised the potential.
Does Artificial Intelligence work in English?
Research
EPFL
EPFL researchers have shown that large language models primarily trained on English text seem to use English internally, even when they are prompted in another language. As AI increasingly runs our lives, this may have important consequences regarding linguistic and cultural bias.
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