Institute of Mathematics – MATH
Theory and experiments to understand a contact between two filaments
Mechanical engineers and mathematicians at EPFL have joined forces to gain a better understanding of the geometry and mechanics of two filaments in contact – as in the cases of knots and woven fabrics.
NTK: unlocking the mysteries of deep learning
Professor Clément Hongler and his team from the Chair of Statistical Field Theory found a new way of understanding Artificial Neural Networks. Their 2018 paper has gathered a lot of attention from the scientific community and is now frequently used by researchers when they want to understand the training of large neural networks.
New podcast from EPFL's College of Humanities asks: are you sure?
A newly launched podcast “Are You Sure?” features interviews, in English and in French, with EPFL researchers from different domains as they wrestle with the important question of what it means to be uncertain in science, as well as in their own lives and careers.