​Learn to build with Arduino UNO! A hands-on workshop where you will learn the basics of Arduino, electrical circuit, Arduino coding (Part 1), and integrate different kinds of sensor and motor (Part 2). Whether you are a beginner or an experienced maker, the workshop series is open to anyone interested in learning about Arduino and building interactive projects. No prior experience is necessary, but basic programming and electronics knowledge is helpful. BONUS: This workshop will be a great preparation for Forge McGill - a Hardware Hackathon by The Factory! Part 1: Introduction to Arduino - Location: ENGTR 0600 (Trottier Building Basement) - Time: 6PM - 8PM on January 23rd, 2024 - Topic: - Introduction to the Arduino UNO board, Arduino IDE, and the programming language. - Basics of electronics, circuit, and analog/digital signal processing. - Learn the basics of electronics through hands-on circuit building with a breadboard, resistors, LEDs, and more! Part 2: Sensors and motors - Location: ENGTR 0600 (Trottier Building Basement) - Time: 6PM - 8PM on January 30th, 2024 - Topic: How to use sensors and motors with Arduino to build an interactive circuit. You will learn how to use the following components: - Infrared Reflective (IR) - Ultrasonic - Servo motors Important Information - Each workshop costs $5. Payment and registration via Zeffy link under Registration section below! - There pizza and drinks are provided ! - Please bring your own computer with the (https://www.arduino.cc/en/software) installed. - Please bring your USB adapter that can support USB-A port. The Arduino UNO board uses USB-A to USB-B cable to work with your machine. We look forward to seeing you at the workshop! Room: 0060, Bldg: Trottier Building, 3630 University Street, Montreal, Quebec, Canada, H3A0C6

[] Dr. Baek-Young Choi is an internationally leading scholar in the Internet of Things, 5G and beyond, cloud computing, and cybersecurity. Dr. Choi's innovative research has led to numerous Best Paper, Best Poster, and Best Video awards, as well as recognition as conferences’ keynote speaker, Distinguished Lecturer, and Associate Editor-in-Chief of the flagship magazine of the IEEE Society. She has served in many international leadership roles in her technical society, including Chair of IEEE Women in Communications Engineering, Chair of Sister societies, and a technical oversight committee of flagship conferences in IEEE, general chair, and technical program committee chair for multiple international conferences and workshops. Speaker(s): Baek-Young Choi, PhD Virtual: https://events.vtools.ieee.org/m/456310

[] Mr Eamon J Wall, Esq began his career as an Engineer and enjoyed the field so much, he decided to make important contributions by becoming a Patent Attorney, helping many individuals and companies to create significant value with technology innovations. Mr Wall is dedicated to advancing technology for humanity, serving the community in many important projects and programs. Speaker(s): Eamon J Wall, Esq Virtual: https://events.vtools.ieee.org/m/456313

IEEE Circuits and Systems Society Montreal Chapter, IEEE Solid State Circuits Society Montreal Chapter, IEEE Montreal Section, ReSMiQ – Regroupement Stratégique en Microsystèmes du Québec invite you to attend the talk by DR. YONG ZHAO. "With the rapid development of large language models (LLM) featuring low cost and high performance, they will soon be applied to robots, cars, drones etc. The so-called embodied intelligence technologies will be the next big market opportunity. However, when these robots need to conduct certain tasks, they require advanced 3D perception ability of the environment. Although various 3D perception technologies, such as LiDAR, are also developing rapidly, they, similar to some other active perception devices, have many problems and limitations. For example, it may not produce effective reflections on mirror surfaces, walls parallel to the line of sight, etc. Moreover, it only has a sparse point cloud. Besides, it lacks texture and color. Therefore, for robots serving thousands of households, binocular vision technology, similar to human vision, is one of the key technologies for robot perception. Binocular vision algorithms have experienced a leapfrog development from traditional stereo matching algorithms based on image processing to a new generation of algorithms based on learning with deep nets. Although very high performance has been achieved, the computational load is still relatively high for embedded devices. Therefore, further simplification and optimization of the stereo matching algorithms is needed to enable widespread application on low-cost mobile devices such as robots." Speaker(s): Dr. Yong ZHAO Room: 2.184, Bldg: Concordia University - EV Building, 1515 St. Catherine, West, Montreal, Quebec, Canada

[] Title: Realizing Artificial Intelligence: Edge-to-Cloud-to-Exascale Abstract: Foundational models with trillions of parameters are being trained. Multi-modal GenAI and Inference Serving services are being deployed for a variety of use cases. To meet the computational demands of these AI workloads, we now have infrastructure with larger than ever GPUs and networks with ever increasing bandwidths. In this presentation, I will talk about challenges of running today’s AI workloads on extreme scale infrastructure. Hewlett Packard Labs is pursuing different research directions for building resilient, scalable and sustainable AI infrastructures. I will discuss how we are tackling the complexities of orchestrating AI/ML workloads by leveraging AI Workload simulations, GPU virtualization, performant communication collectives and novel accelerators. Virtual: https://events.vtools.ieee.org/m/462458