EPFL
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.
A 3D printer made entirely at EPFL
Teaching
EPFL
EPFL students have made a high-performance 3D printer that can print structures measuring just a few microns across.
Citizen scientists to the rescue
Research
EPFL
EPFL Summer series: How science works. From data collection to environmental and public-health advocacy, amateur scientists make a valuable contribution to scientific research.
Some urban commuters have no choice but to take their car
Research
EPFL
An EPFL study shows that suburban commuters do not necessarily take environmental concerns into account when deciding whether to use their car. Many car commuters – especially those with hectic schedules – feel they have no other choice. That’s especially true when it comes to working mothers.
Machine learning cracks the oxidation states of crystal structures
Research
EPFL
Chemical engineers at EPFL have developed a machine-learning model that can predict a compound’s oxidation state, a property that is so essential that many chemists argue it must be included in the periodic table.
Better planning can reduce the urban heat island effect
Research
EPFL
In his PhD thesis, EPFL researcher Martí Bosch proposes a method for spatially quantifying the impact of mitigation measures – planting green spaces and using different building materials – on the urban heat island effect.
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