Cours

MICRO-608: Optical Computing

Résumé

In this course we will start with a brief history of optical computing, describe methods for implementing optical interconnection and logic and then spend most of our time on learning about the recent efforts in optical computing machines for machine learning.

Séances de cours

Enseignant·e·s (2)

Demetri Psaltis

Enseignement et PhD Doctorant·es actuel·les Victoria Fay, Colin Nikhil Christian A dirigé les thèses EPFL de Wuzhou Song, Alexandre Goy, Julien Cuennet, Ioannis Papadopoulos, Xin Yang, Grégoire Pierre Jean Laporte, Thomas Jean Victor Marie Lanvin, Seyyed Mohammad Hosseini Hashemi, Nicolino Stasio, Morteza Hasani Shoreh, Marilisa Romito, Pooria Hadikhani, Eirini Kakkava, Joowon Lim, Giulia Panusa, Ahmed Bassam Sayed Ayoub Mohamed Ayoub, Amirhossein Saba, Niyazi Ulas Dinç A co-dirigé les thèses EPFL de Ugur

Christophe Moser

Christophe Moser is Associate Professor of Optics and the Section Director in the Microengineering department at EPFL. He obtained his PhD at the California Institute of Technology in optical information processing in 2000. He co-founded and was the CEO of Ondax Inc (acquired by Coherent Inc.), Monrovia California for 10 years before joining EPFL in 2010. His current interests are ultra-compact endoscopic optical imaging through multimode fibers, multimode fiber lasers, retinal imaging and additive manufacturing via volumetric 3D printing with light. He is the co-founder of Composyt light lab in the field of head worn displays in 2014 (acquired by Intel Corp), Earlysight SA and Readily3D. He is the author and co-author of 75 peer reviewed publications and 45 patents.

Source officielle

Page Moodle

http://go.epfl.ch/MICRO-608

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Résumé

Séances de cours

Enseignant·e·s (2)

Demetri Psaltis

Christophe Moser

Source officielle

Page Moodle

http://go.epfl.ch/MICRO-608

Séances de ce cours (4)

Calcul optique: puce photoélectronique entièrement analogique pour les tâches de vision

Présente une puce photoélectronique entièrement analogique pour les tâches de vision à grande vitesse, répondant aux défis du calcul classique et proposant un cadre optique-électrique hybride.

Machines d'apprentissage extrêmes photoniques: Techniques de calcul de réservoir

Couvre les machines d'apprentissage extrêmes photoniques et le calcul de réservoir, en se concentrant sur leurs architectures, leurs techniques de programmation et leurs applications en informatique optique.

presentation Samuele Brunetta - on chip classifification

video Light Matter - Light Intelligence

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