Inscrivez-vous : https://etsmtl.libcal.com/event/3754289 SARA : 7th Montréal Photonics Networking Event - Groupe de feedback | Feedback group En personne / En ligne Cet atelier comodal et bilingue est ouvert uniquement aux participants présentant au 7th Montréal Photonics Networking Event Si vous souhaitez obtenir des commentaires pendant la préparation de votre présentation, participez à une séance de soutien par les pairs (groupe de feedback). Une séance commencera par une petite présentation du SARA avec des conseils sur les présentations orales / les affiches scientifiques. Ensuite, nous vous donnerons l'occasion de pratiquer votre présentation et recevoir les commentaires de vos pairs. Si vous n'avez pas terminé votre présentation, ne vous inquiétez pas! Venez simplement avec un brouillon de ce que vous voulez dire, et obtenez des commentaires sur ce que vous avez l'intention de présenter. Au plaisir de vous rencontrer et d'entendre parler de votre travail! Pour présenter au 7th Montréal Photonics Networking Event, soumettez votre résumé ici: https://forms.gle/egebsBF6Bm5ktwvw7 Il y aura de la nourriture, du café et du thé gratuits! ---- This hybrid and bilngual workshop is only open to particpants presenting at the 7th Montréal Photonics Networking Event If you would like some feedback while preparing for your presentation, come to our peer-support session (feedback group). A session will begin with a small presentation by SARA with tips on scientific oral presentations / posters. Then we will give you a chance to try out your presentation with feedback from your peers. If you haven't finished your presentation - don't worry! Just come with a draft of what you want to say, and get some feedback on what you intend to present. Looking forward to meeting you and hearing about your work! To present at the 7th Montréal Photonics Networking Event, submit your abstract here: https://forms.gle/egebsBF6Bm5ktwvw7 There will be free food, coffee, and tea! Co-sponsored by: ETS Library Speaker(s): Prasun Lala, Room: A-0232 , Bldg: Pavillion A, ETS, Espace des cycles supérieurs: Section discussion , Montréal, Quebec, Canada, Virtual: https://events.vtools.ieee.org/m/375458

Speaker: Dr. Gord Lovegrove, Associate Professor | Faculty of Applied Science | School of Engineering The University of British Columbia | Okanagan Campus Registration is optional, but we want to know who to expect. 10:00 AM P.D.T. You can log in at 9:45 AM (12:45 PM Montreal) to check connection and say hello.All IEEE members are welcome, especially those Life Members that don't have a local Affinity Group. We are looking for speakers for the rest of the year, contact Carl Zanon if interested. Speaker(s): Dr. Gord Lovegrove Agenda: 9:45 AM Zoom opens 10:00 AM Welcome and speaker introduction 10:05 AM Speaker Virtual: https://events.vtools.ieee.org/m/379263

The Montreal Chapter of the IEEE Signal Processing Society, in collaboration with STARaCom, cordially invites you to attend the following talk to be given (in presence) at McGill University by Prof. Yunlong Cai, from Zhejiang University (Hangzhou, China). Speaker(s): Prof. Yunlong Cai Room: 603, Bldg: McConnell Engineering, 3480 University, Montreal, Quebec, Canada, H3A 0E9

The typical hardware platform for neural networks operates based on clocked computation and consists of advanced parallel graphics processing units (GPU) and/or application specific integrated circuits (ASIC), which are reconfigurable, multi-purpose and robust. However, for such platforms the input data often needs to be converted to electrical domain, digitized, and stored. Furthermore, a clocked computation system typically has a high power consumption, suffers from a limited speed, and requires a large data storage device. To address the ever-increasing demand for more sophisticated and complex AI based systems, deeper neural networks with a large number of layers and neurons are required, which result in even higher power consumption and longer computation time. Photonic deep networks could address some of these challenges by utilizing the large bandwidth available around the optical carrier and low propagation loss of CMOS-compatible photonic devices and blocks. In this talk, a low-cost integrated highly-scalable photonic architecture for implementation of deep neural networks for image/video/signal classification is presented, where the input images are taken using an array of pixels and directly processed in the optical domain. The implemented system performs computation by propagation and, as such, is several orders-of-magnitude faster than state-of-the-art clocked based systems and operates at a significantly lower power consumption. This system, which is scalable to a network with a large number of layers, performs in-domain processing (i.e. processing in the optical domain) and as a result, opto-electronic conversion, analog-to-digital conversion, and requirement for a large memory module are eliminated. Co-sponsored by: Glenn Cowan Speaker(s): Dr. Firooz Aflatouni Room: 1.162, Bldg: EV, 1515 Saint-Catherine St W, Montreal, Quebec, Canada, H3G 1S6

⚠️You must also register on https://ieeextreme.org/ Il est obligatoire de s'inscrire également sur https://ieeextreme.org/⚠️ Important Information Registering for this event simply secures a space for you at our physical competition space here in Montreal where you will be provided with food and a comfortable environment in which you can program and meet the other participants. You must also register at the above link for the actual competition by October 23, without which you cannot officially participate in the global IEEE Xtreme Challenge. Event Description IEEEXtreme is IEEE’s premier programming competition, bringing thousands of students from around the world together into a 24-hour event. Open to all undergraduate and graduate college students with an active IEEE student membership. The competition is hosted virtually and simultaneously around the world. Competitors are required to be proctored by a local IEEE professional member and are often supported by a local IEEE Student Branch. IEEEXtreme est le premier concours de programmation de l'IEEE, réunissant des milliers d'étudiants du monde entier lors d'un événement de 24 heures. Ouvert à tous les étudiants du premier cycle et des cycles supérieurs possédant une adhésion étudiante active à l’IEEE. Le concours est organisé virtuellement et simultanément dans le monde entier. Les concurrents doivent être surveillés par un membre professionnel local de l'IEEE et sont souvent soutenus par une branche étudiante locale de l'IEEE. Bldg: INRS-EMT, 800 Rue De la Gauchetière O, Montréal, Quebec, Canada