Machine Learning
Using statistical methods to predict the course of disease
Research
ETH Zurich
Data contains much more than just the information on the surface. With statistics, deeper cause-and-effect relationships can be brought to light. This is what Alexander Marx is researching as a Fellow at the ETH AI Center using artificial intelligence. One of his goals is to be able to make predictions regarding diabetes in children.  
A smart use of AI
TechTransfer
ETH Zurich
ETH alumna Paulina Grnarova wants to use artificial intelligence to revolutionise the way the legal industry works. Her recent appearance on the Forbes 30 Under 30 list has catapulted her into the spotlight.
Automatically filter and block cookies
TechTransfer
ETH Zurich
Cookie consent banners only appear to give users control over their data. So researchers at ETH Zurich have developed a browser extension that uses machine learning to recognise and block unnecessary cookies.
How human and artificial intelligence can augment one another
Research
ETH Zurich
Mennatallah El-Assady develops explainable AI programs that explain their own workings – and let users provide input. This can help analysts take a deep dive into political debate.  
Artificial intelligence listens to the sound of healthy machines
Research
ETH Zurich
Sounds provide important information about how well a machine is running. ETH researchers have now developed a new machine learning method that automatically detects whether a machine is "healthy" or requires maintenance.
Predicting complex dynamics from data
Research
ETH Zurich
Researchers at ETH Zurich have developed a new algorithm that allows them to model the dynamics of physical systems from observations. In the future it could be applied to the onset of turbulence and tipping points in climate.
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