Machine Learning
How words acquire their meaning
Research
EPFL
Researchers in EPFL’s College of Humanities have used machine learning to reveal how humans bridge the often-significant gaps between signal and meaning in communication.
A small house raises big questions
Research
ETH Zurich
Buildings that own and run themselves: this idea, from the think-tank Dezentrum, was put into action for the first time at ETH Zurich in the form of a prototype. The result is a meditation cabin that shakes up the usual economic and social expectations.
Computer algorithms are currently revolutionising biology
Research
ETH Zurich
Artificial intelligence can help predict the three-dimensional structure of proteins. Beat Christen describes how such algorithms should soon help to develop tailored artificial proteins.
New, high-resolution models merge weather and climate
Research
ETH Zurich Empa
Torrential rain and flooding have dominated the weather over the past few weeks. To forecast these weather events with greater accuracy and gain a better understanding of them against the backdrop of global climate change, ETH Zurich and partners are developing a new generation of high-resolution weather and climate models.
How will machine learning change science?
Research
EPFL
For millennia scientists have manually combed through data in a bid to find meaningful patterns to solve complex problems. Now, many researchers believe that Machine Learning will fundamentally change the way science is done.
Machine-learning improves the prediction of stroke recovery
Research
EPFL
An international team of scientists led by EPFL has developed a system that combines information from the brain’s connectome – the “wiring” between neurons – and machine learning to assess and predict the outcome of stroke victims.
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