Machine Learning
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.
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.
ANYmal can do parkour and walk across rubble
Research
ETH Zurich
The quadrupedal robot ANYmal went back to school and has learned a lot. ETH Zurich researchers used machine learning to teach it new skills: the robot can now climb over obstacles and successfully negotiate pitfalls.
Artificial intelligence detects heart defects in newborns
Research
ETH Zurich
Researchers from ETH Zurich and KUNO Klinik St. Hedwig in Regensburg have developed an algorithm that provides an automatic and reliable method of detecting a certain heart defect in newborns.
Anything-in-anything-out: a new modular AI model
Research
EPFL
Researchers at EPFL have developed a new, uniquely modular machine learning model for flexible decision-making. It is able to input any mode of text, video, image, sound, and time-series and then output any number, or combination, of predictions. 
A machine learning framework that encodes images like a retina
Research
EPFL
EPFL researchers have developed a machine learning approach to compressing image data with greater accuracy than learning-free computation methods, with applications for retinal implants and other sensory prostheses.
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