Spin based device architectures for neuromorphic computing and storage
EPFL-ETH Zurich Summer school 2022
22-26 August 2022
Applications of recent developments in the field of brain inspired computing and artificial intelligence are being progressively implemented in modern every daily life, may it be speech recognition, image classification or text translation. Computing techniques based on magnetic components, such as magnetic RAM, have been applied in industrially produced applications and promise to offer more opportunities to improve speed and efficiency of computing operations.
This summer school will provide an overview of hardware implementations of neuromorphic computing techniques and then emphasize recent and novel approaches which are spin-based and promise a reduction in power consumption. The school will define basic concepts involved in realizing such devices as well as assess challenges in their compatibility with existing CMOS-based hardware. Combining lectures and exercises designed by experts from materials science over neuroscience to computer engineering as well as a round table discussion, this interdisciplinary school will benefit and stimulate participants from various domains ranging from machine learning to condensed matter physics.
Shreyas Joglekar, PhD student at the Laboratory of Nanoscale Magnetic Materials and Magnonics, EPFL
Marco Hoffmann, PhD student at the Laboratory of Magnetism and Interphase Physics, ETH Zurich
Zhentao Liu, PhD student at the Laboratory for Multiscale materials experiments, Paul Scherrer Institute (PSI)
Laura van Schie, PhD student at the Laboratory of Magnetism and Interphase Physics, ETH Zurich
Andrea Mucchietto, PhD student at the Laboratory of Nanoscale Magnetic Materials and Magnonics, EPFL and
Mohammad Hamdi, PhD student at the Laboratory of Nanoscale Magnetic Materials and Magnonics, EPFL