Domaines
Condensed matter
Nanophysics, nanophotonics, 2D materials and van der Waals heterostructures,, surface physicss, new electronic states of matter
Type of internship
Expérimental et théorique Description
Running and training artificial neural networks on conventional computers consumes a large amount of energy. Our team studies how to build novel hardware for artificial intelligence, that physically implements neural networks using spintronic nanodevices.
In particular, we leverage the high-speed dynamics of magnetic tunnel junctions to implement the key operations of neural networks.
This internship requires to be interested in learning new concepts and tools from both physics and machine learning.
Contact
Frank Mizrahi