Data Sciences
Girl Power: Can we Break the Bias in Al and Beyond?
Research
EPFL
We all know the story. It gets rolled out every March when women and men around the world celebrate International Women’s Day. Human biases are well documented, from the implicit to the explicit and they have always existed but as algorithms and big data increasingly run our lives these biases become embedded in everything.
When it comes to forecasts, politics fails more often than science
Politics
ETH Zurich
Politicians and the media struggle with predictions. This is more a problem resulting from a poor understanding of uncertainties than from the reliability of models, argues Reto Knutti.
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.
EPFL and ETH Zurich launch their first joint doctoral programme
Teaching
EPFL ETH Zurich
Switzerland’s two federal institutes of technology have teamed up to offer a new joint doctoral programme in the learning sciences. It aims to train experts to draw on their technological and scientific knowledge in the interests of forwarding the research, teaching and learning.
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