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

IEEE Montreal Consumer Technology Society Chapter and IEEE Montreal Industry Relations Committee are very pleased to invite you to attend a talk about "Quantum Radars" by Dr. David Luong from Carleton University, Canada, on October 30th, 2023, 12:00 PM - 01:00 PM. The talk is virtual and the zoom link is provided below. Speaker(s): , Dr. David Luong Virtual: https://events.vtools.ieee.org/m/380898

The Montreal Chapter of the IEEE Systems, Man & Cybernetics (SMC) cordially invite you to attend the following in-person talk, to be given by Dr. Floriano De Rango, Associate Professor in Telecommunication and Networking, University of Calabria (Italy). Co-sponsored by: Concordia University Speaker(s): Dr. Floriano De Rango, Room: EV001.162, Bldg: EV Building, Concordia University , Montreal, Quebec, Canada, H3G 1M8

In this talk, we present some basic background on quantum computing, some quantum computing algorithms as well as some practical applications. Co-sponsored by: Terry Branch Speaker(s): Reza Soleymani Agenda: Please note that after the talk we will have a supper on Crescent Street. We will make announcement later. Room: EV002.184, Bldg: Concordia University, 1515 Ste. Catherine West, Corner with Guy Street - Metro Guy & Concordia, Montreal, Quebec, Canada