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Abstract : Digital computing is approaching its fundamental limits just as compute-intensive workloads like machine learning are taking off. To address this, we are building a new kind of computer–an analog optical computer–to accelerate AI inference and hard optimization workloads. The computer has the potential to improve the efficiency and sustainability of these workloads by around 100x by stepping away from several fundamentally limiting aspects of general-purpose digital computing. It leverages chip-scale optical and electronic technologies from the consumer space that are low cost and scalable. In this talk, I will describe two generations of this computer that we have built, outline our roadmap for scaling, and discuss the importance of hardware-software co-design for such emerging computers and their potential for accelerating real-world problems in the post-Moore Law’s era. Speaker(s): Dr. Hitesh Ballani, Bldg: McConnell Engineering building, , Room MC603, 6th floor, 817 Sherbrooke St W, , Montreal, Quebec, Canada, H3A 0C3, Virtual: https://events.vtools.ieee.org/m/430520

The Montreal Chapter of the IEEE Control Systems (CS) cordially invite you to attend the following in-person talk, to be given by Dr. Mohammad Nasir Uddin, the Department of Electrical Engineering, Lakehead University (LU). Co-sponsored by: Concordia University Speaker(s): Dr. Mohammad Nasir Uddin Room: EV002.184, Bldg: EV Building, Concordia University , Montreal, Quebec, Canada, H3G 1M8

Abstract: Can we exploit the tools of machine learning for tackling the complexity of building better quantum computers? In this talk, I will describe how one can use machine-learning techniques, specifically reinforcement learning, to address challenges in this domain. One very important area is quantum error correction, which is needed to fight against the unavoidable noise that would otherwise quickly render quantum computers useless. The complex feedback strategies needed in this domain can be discovered using model-free or model-based reinforcement learning. Besides discussing our theoretical advances in this area, I will also describe our recent collaboration with experimentalists in learning real-time feedback strategies for superconducting qubits. Co-sponsored by: Montréal Quantum Photonics Seminar Series Speaker(s): Florian Marquardt 6666 Rue Saint-Urbain, Montréal, Quebec, Canada

IMPORTANT: EVENT HAS BEEN RESCHEDULED DUE TO HIGH CHANCE OF RAIN Registration has been extended for those who till want to come Join us Sunday, September 8, for the First annual IEEE Montreal Section Barbeque at Parc Angrignon (3400, boulevard des Trinitaires Montreal, Quebec, H4E 4J3 in Montreal from 11h:30 Am to 2 PM. As part of a new IEEE Montreal initiative, this academic year will begin with a barbecue!. Enjoy the beautiful summer weather in a picturesque park setting while connecting with fellow members and relaxing with this event. Event Highlights: – Delicious BBQ: Savor mouth-watering BBQ favorites including grilled Merguez, hot dogs, and a variety of vegetarian options. Don't forget to sample our array of sides and desserts! - Two brief discussions on IEEE membership and Staracom's outreach to students. – Games and Activities - Please note that some pictures will be taken during the event. By registering to this event, you consent to the use of your portrait, picture or photograph taken during the event by IEEE Montreal in promotional material, including printed and electronic material as well as the IEEE Montreal section website. REGISTRATION: Please register early. Admission fee for both IEEE members and non-members is $5. Menu selection is required at the time of registration. Co-sponsored by: Staracom Speaker(s): IEEE Montreal, Staracom, Parc Angrignon 3400, boulevard des Trinitaires, Montréal, Quebec, Canada, H4E 4J3

Important: Please use your Zoom account (create one if you don't have) to register for the virtual event. https://sjsu.zoom.us/meeting/register/tZYvc-ygpzwqHd0I34ZDpWy2-9Sot_910anP Join us for the Third International Conference on Applied Data Science (ICADS 2024) , organized by the IEEE Computer Society of Santa Clara Valley. This virtual event brings together global innovators in data science to share cutting-edge research and practical applications. With keynote sessions, interactive workshops, and panel discussions covering topics related to GenAI and its application. ICADS 2024 offers a dynamic platform for innovation and collaboration. Don't miss this opportunity to connect with experts and advance the field of data science. Quantum Gate Neural Networks, Dr Siddhartha Bhattacharyya, India This talk is centered around the introduction to the implementation of neural networks in quantum computing frameworks. The talk starts with a brush-up on the operational principles of classical neural networks, followed by the TensorFlow Quantum Framework (TQF) - the basic building block of Quantum Neural Networks (QNNs). Then it delves into the details of Parameterized Quantum Circuits (PQCs). The Quantum Neural Network training model is also discussed with reference to TQF. Subsequently, it touches on the visualization of Quantum Convolutional Neural Networks (QCNNs). Finally, the advantages offered by QNNs over their classical counterparts are also highlighted. Digital twin in Aerospace Supply chain, Amit Dubey In this cutting-edge 1-hour workshop, we delve into the transformative potential of digital twin technology enhanced by machine learning in the aerospace supply chain. As the industry faces unprecedented challenges and opportunities, this session explores how this powerful combination is reshaping supply chain management, offering unparalleled improvements in efficiency, predictive maintenance, and decision-making processes using data science. Enabling Performance-Efficient GenAI at the Edge Through Quantization, Dwith Chenna The widespread adoption of Generative AI (GenAI) applications has sparked a revolution in the development of innovative solutions, it is expected that inference will account for 90% of the costs associated with GenAI applications, compared to only 10% for training. This cost disparity, along with the environmental impact of inference and data privacy concerns, has underscored the need for optimization at the edge. Quantization has emerged as a crucial technique, offering significant performance gains in computation and memory usage. In this presentation, we will delve into modern quantization techniques that facilitate the deployment of GenAI applications, such as large language models (LLMs), at the Edge. We will explore popular methods including AWQ, SmoothQuant, and Block Quantization, examining their trade-offs and optimizations. Using popular open-source models like Llama, OPT and Mistral, along with Llama.cpp, a well-regarded C++ implementation, as case study, we will analyze the impact of quantization on model performance for achieving overall efficiency in GenAI deployments. The Power and Perils of Generative AI: A Realistic Perspective, Professor San Murugesan In just two years, Generative AI (GenAI) has emerged as one of the most transformative technologies, revolutionizing industries, businesses, and personal interactions with its unprecedented capabilities in content creation, coding, and advisory services. This talk will explore GenAI's dual nature—its extraordinary potential and the significant risks it poses. We aim to provide participants with a balanced understanding of GenAI, empowering them to harness its power while effectively managing associated risks. We'll begin by highlighting applications for which GenAI is particularly well-suited and showcasing innovations reshaping sectors such as healthcare, education, business, research, and design. We will also address GenAI's limitations, including its reliance on vast data sets, its potential to generate biased or misleading information, and its ongoing technical challenges. The discussion will then shift to broader concerns, including ethical dilemmas, security vulnerabilities, and GenAI's societal impact. We'll also examine legal and regulatory issues, focusing on evolving frameworks around responsible AI-generated content, copyright, and regulations to mitigate GenAI's risks. Understanding and addressing these issues is not just a necessity, but a responsibility that we, as technology professionals, must uphold. Finally, we will explore GenAI's impact on cybersecurity—both as a tool for enhancing defenses and as a potential vector for new threats. We’ll also discuss emerging GenAI trends and how businesses and professionals can prepare for the GenAI era Accelerating Code Contribution with CodeBaseBuddy's Intelligent Semantic Search System, Raghavan Muthuregunathan Navigating and contributing to new codebases is a daunting challenge, especially for newcomers to open-source projects. Unlock the power of efficient code contribution with CodeBaseBuddy, a tool that's helping how developers tackle unfamiliar repositories. In this talk, we'll dive into the innovative combination of Retrieval Augmented Generation (RAG), Codestral, and Ollama to create a privacy-preserving, locally deployable semantic code search solution. Discover how this system accelerates onboarding, reduces errors, and enhances community engagement in open-source projects. CodeBaseBuddy provides step-by-step guidance and specific pointers for modifying files, transforming the experience of working with complex codebases. Whether you're a seasoned developer or new to the field, you'll learn how this tool can streamline your coding process and boost productivity. Join us to explore the future of collaborative coding and see firsthand how CodeBaseBuddy is making intricate codebases more accessible than ever before. Panel Discussion - AI and Social Media The convergence of artificial intelligence (AI) and social media has revolutionized the way businesses engage with their audience. By leveraging AI, companies can perform advanced audience analysis and optimize their content to maximize engagement. However, the same technology has also accelerated the spread of misinformation, highlighting the need for a balanced approach that weighs both the benefits and ethical risks.The panel will address critical questions around the benefits and impact of AI integration, the challenges of implementation, the opportunities for innovative applications, and the future trends shaping this rapidly evolving field. By bringing together experts from academia and industry, this discussion aims to shed light on strategic decision-making and policy development, offering valuable insights into the far-reaching implications of AI and social media convergence. Speaker(s): Amit Dubey, Professor San Murugesan, Dwith Chenna, Dr. Siddhartha Bhattacharyya, Vipul Bharat Marlecha, Aqsa Fulara, Anupam Mukherjee, Raghavan Muthuregunathan, Meenal Nalwaya Agenda: Agenda 09:00 -10:00 am: Quantum Gate Neural Networks 10:00 am - 11:00 am: Panel Discussion - AI and Social Media 11:00 - 12:00 pm Accelerating Code Contribution with CodeBaseBuddy's Intelligent Semantic Search System 12:00 - 01:00 pm Digital twin in Aerospace Supply chain 01:00 - 2:00 pm Enabling Performance-Efficient GenAI at the Edge Through Quantization 2:00 - 3:00 pm The Power and Perils of Generative AI: A Realistic Perspective Virtual: https://events.vtools.ieee.org/m/430463

Come see us at the Annual Festival of Clubs at ETS. Special Highlight: Goodies for spot registration to IEEE Xtreme 18.0. Bldg: Space between Pavilion D and E, 1100 Rue Notre Dame West, Montreal, Quebec, Canada, H3C1K3

The IEEE Photonics Society Montreal chapter in partnership with Quantino are inviting you to this 5 à 7 to continue the conversation with the panelists, participants, and guests about entrepreneurship and intrapreneurship for quantum technology development following the panel presentation at QCE24 (more information about the panel (https://qce.quantum.ieee.org/2024/program/panels-abstracts/#pan11)). Refreshments and cocktail snacks will be provided. Le chapitre montréalais de l'IEEE Photonics Society en partenariat avec Quantino vous invite à ce 5 à 7 pour continuer la conversation avec les panélistes, les participants et les invités sur l'entrepreneuriat et l'intrapreneuriat pour le développement de la technologie quantique suite à la présentation du panel à QCE24 (plus d'informations sur le panel (https://qce.quantum.ieee.org/2024/program/panels-abstracts/#pan11)). Des rafraîchissements et des bouchées seront offerts. Montreal, Quebec, Canada, H2Y 0A3

(An English version will follow) Vous êtes invités à assister à la 6e Journée de l’Innovation en Génie Physique le 20 septembre au 1035 du Pavillon Joseph-Armand-Bombardier à 13h00. ---- You are invited to attend the 6th edition of the Innovation Day in Engineering Physics on September 20th, at Room 1035, Joseph-Armand-Bombardier Building at 13h00. Co-sponsored by: Chapitre Etudiant SPIE/OPTICA - Polytechnique Speaker(s): Sébastien Loranger, Ph.D., Angeles Camacho Rosales, Ph.D. Room: Salle 1035, Bldg: Pavillon Joseph-Armand Bombardier, 5155 Chemin de la Rampe , Polytechnique Montreal, Montréal, Quebec, Canada, H3T 1J4

Event re-scheduled from original date of 2024-Jun-15 Speaker: Ljiljana Trajkovic, Ph.D., P.Eng., FIEEE; Professor, School of Engineering Science, Simon Fraser University In this talk, the speaker will describe collection and analysis of data from various deployed communication networks and the Internet. We are interested in collections of traffic data during reported anomalies such as worms, viruses, power outages, and ransomware attacks. Modern machine learning techniques and tools used to classify such anomalies are described and evaluated. Registration is optional, but we want to know who to expect. 10:00 AM P.D.T. Suggest you 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): Ljiljana Trajkovic Agenda: 9:45 AM Zoom opens 10:00 AM Welcome and speaker introduction 10:05 AM Speaker Virtual: https://events.vtools.ieee.org/m/423177

The Careers in Technology Fall Series begins on 24 September at 8pm Eastern Time with: Professor Victor B Lawrence, PhD IEEE Fellow, National Inventors Hall of Fame. In the introduction, Dr Lawrence’s preparation for a career at Bell Labs in Advanced Communication Technologies will be discussed. Then Dr Lawrence will conduct a detailed deep dive discussion of modern communications and networks. Some of Dr Lawrence’s technical experience includes: Key innovations of Bell Labs, artificial intelligence and machine learning, communications technologies, telecommunications, networks, patents, standards of today. Technology for the future. HDTV, Modems, Bluetooth: The importance of Standards. Professor Victor B Lawrence, PhD will share his thoughts about the future influence of technology in society, and recommendations for navigating a technical career in this era. Lawrence has received numerous awards and honorary degrees, including: - 1981: (https://ieee-cas.org/guillemin-cauer-award), (https://en.wikipedia.org/wiki/IEEE_Circuits_and_Systems_Society) - 1984: J. Harry Karp Best Paper Award at Interface '84 - 1986: (https://en.wikipedia.org/wiki/University_of_California,_Berkeley), Chancellor's Distinguished Lecture Series - 1987: (https://en.wikipedia.org/wiki/Institute_of_Electrical_and_Electronics_Engineers) - 1992: Fellow of (https://en.wikipedia.org/wiki/AT%26T_Bell_Labs) - 1995: Black Engineer for Outstanding Technical Contributions - 1997: (https://en.wikipedia.org/wiki/Emmy_Awards) for (https://en.wikipedia.org/wiki/Grand_Alliance_(HDTV)) Standard - 2000: IEEE Millennium Medal - 2003: Member of (https://en.wikipedia.org/wiki/National_Academy_of_Engineering) - 2004: IEEE Award in International Communication - 2007: (https://en.wikipedia.org/wiki/IEEE_Simon_Ramo_Medal) for leadership in world-wide data communications networks - 2012: Charter Fellow of (https://en.wikipedia.org/wiki/National_Academy_of_Inventors) (NAI) - 2016: (https://en.wikipedia.org/wiki/List_of_National_Inventors_Hall_of_Fame_inductees) Speaker(s): Professor Victor B Lawrence, PhD IEEE Fellow Virtual: https://events.vtools.ieee.org/m/431105