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  • Generalizing from Training Data

    Virtual: https://events.vtools.ieee.org/m/287720

    Prerequisites: You do not need to have attended the earlier talks. If you know zero math and zero machine learning, then this talk is for you. Jeff will do his best to explain fairly hard mathematics to you. If you know a bunch of math and/or a bunch machine learning, then these talks are for you. Jeff tries to spin the ideas in new ways. Longer Abstract: There is some theory. If a machine is found that gives the correct answers on the randomly chosen training data without simply memorizing, then we can prove that with high probability this same machine will also work well on never seen before instances drawn from the same distribution. The easy proof requires D>m, where m is the number of bits needed to describe your learned machine and D is the number of train data items. A much harder proof (which we likely won't cover) requires only D>VC, where VC is VC-dimension (Vapnik–Chervonenkis) of your machine. The second requirement is easier to meet because VC<m. Speaker(s): Prof. Jeff Edmonds, Virtual: https://events.vtools.ieee.org/m/287720

  • IEEE CIC x GMU Indie Game Jam: Enemy & Enemy AI

    Virtual: https://events.vtools.ieee.org/m/287749

    This series of 5 beginner friendly workshops will teach students how to create their own indie game in Unity. We will teach the building blocks and best practices to create a shooter including creating the player, creating enemies, collectibles, effects, and more! All who attend all five sessions will get a certificate from IEEE WIE and can submit their 2D game into a showcase with small prizes at the end of the workshop series. - Quick review of last week’s progress (10 minutes) - Add enemy object & its components (10 minutes): ○ Rigidbody 2D (kinematic) ○ Box Collider 2D ○ Sprite Renderer - Add enemy script & implement enemy random generation (20 minutes) ● Implement enemy movement & shooting behaviour (20 minutes) - Break (10 minutes) - Implement bullet damaging player & enemy (20 minutes) - Add game controller script & implement enemy spawning (20 minutes) ● Add basic player resources (health, ammo) & player score (10 minutes) Virtual: https://events.vtools.ieee.org/m/287749

  • 3GPP Standards for 5G New Radio: from Release 15 and beyond

    Montreal, Quebec, Canada

    Event to introduce the 3GPP standardization process and discuss the existing and future specifications for 5G New Radio. The fifth and latest generation of cellular mobile communication protocols (5G) is meant to address use cases well beyond the next decade. The first set of technical specifications for 5G, also referred to as “New Radio” or NR in 3GPP, were completed as part of 3GPP Release 15. The standardization work for 5G NR continues and new features are continuously added to address more advanced use cases and verticals. This presentation will provide an overview of the standardization process in 3GPP and an overview of the technical features for Release 16 and Release 17 of the specifications. The presentation will conclude with an outlook of future wireless evolution. Speaker(s): Benoît Pelletier, Montreal, Quebec, Canada

  • Third Richard Marceau Energy Symposium

    Toronto, Ontario, Canada, Virtual: https://events.vtools.ieee.org/m/289246

    IEEE Toronto Section will be the host for the Third Richard Marceau Energy Symposium. Extending the success of prior events, the Third Richard Marceau Energy Symposium is a collaboration by the Bowman Centre for Sustainable Energy, the Canadian Academy of Engineering, and the Canadian Society of Senior Engineers. Agenda: - Welcome by IEEE Toronto Section Chair– Dr. Ali Nabavi - The Continuing Legacy of Dr. Richard Marceau - Canadian Academy of Engineering: Dr. Oskar Sigvaldason - Sigvaldason is the Project Manager for Trottier Energy Futures Project - - CANADA: Evaluation of Three Energy System Chains - Bowman Centre for Sustainable Energy: Marshall Kern - Marshall Kern is the President of the Bowman Centre for Sustainable Energy - - Super-Grid to Strengthen North American Electrical Energy Security - Canadian Society of Senior Engineers: Guy Van Uytven - Guy Van Uytven is the President of the CSSE Please register using the link provided below. Co-sponsored by: Ali Nabavi Speaker(s): ., Agenda: Agenda: - Welcome by IEEE Toronto Section Chair– Dr. Ali Nabavi - The Continuing Legacy of Dr. Richard Marceau - Canadian Academy of Engineering: Dr. Oskar Sigvaldason - Sigvaldason is the Project Manager for Trottier Energy Futures Project - - CANADA: Evaluation of Three Energy System Chains - Bowman Centre for Sustainable Energy: Marshall Kern - Marshall Kern is the President of the Bowman Centre for Sustainable Energy - - Super-Grid to Strengthen North American Electrical Energy Security - Canadian Society of Senior Engineers: Guy Van Uytven - Guy Van Uytven is the President of the CSSE Toronto, Ontario, Canada, Virtual: https://events.vtools.ieee.org/m/289246

  • Reinforcement Learning Game Tree / Markoff Chains

    Virtual: https://events.vtools.ieee.org/m/287737

    Prerequisites: You do not need to have attended the earlier talks. If you know zero math and zero machine learning, then this talk is for you. Jeff will do his best to explain fairly hard mathematics to you. If you know a bunch of math and/or a bunch machine learning, then these talks are for you. Jeff tries to spin the ideas in new ways. Longer Abstract: At the risk of being non-standard, Jeff will tell you the way he thinks about this topic. Both "Game Trees" and "Markoff Chains" represent the graph of states through which your agent will traverse a path while completing the task. Suppose we could learn for each such state a value measuring "how good" this state is for the agent. Then competing the task in an optimal way would be easy. If our current state is one within which our agent gets to choose the next action, then she will choose the action that maximizes the value of our next state. On the other hand, if our adversary gets to choose, he will choose the action that minimizes this value. Finally, if our current state is one within which the universe flips a coin, then each edge leaving this state will be labeled with the probability of taking it. Knowing that that is how the game is played, we can compute how good each state is. The states in which the task is complete is worth whatever reward the agent receives in the said state. These values somehow trickle backwards until we learn the value of the start state. The computational challenge is that there are way more states then we can ever look at. Speaker(s): Prof. Jeff Edmonds, Virtual: https://events.vtools.ieee.org/m/287737

  • IEEE CIC x GMU Indie Game Jam: UI & Game Controller

    Virtual: https://events.vtools.ieee.org/m/287756

    This series of 5 beginner friendly workshops will teach students how to create their own indie game in Unity. We will teach the building blocks and best practices to create a shooter including creating the player, creating enemies, collectibles, effects, and more! All who attend all five sessions will get a certificate from IEEE WIE and can submit their 2D game into a showcase with small prizes at the end of the workshop series. - Quick review of last week’s progress (10 minutes) - Introduction to the Package Manager & Post Processing package (10 minutes) ● Apply post processing effects to camera (20 minutes) - Implement camera shaking (20 minutes) - Break (10 minutes) - Building our project (10 minutes) ● QnA (40 minutes) Virtual: https://events.vtools.ieee.org/m/287756

  • Introduction to Web Development with HTML and CSS

    Virtual: https://events.vtools.ieee.org/m/291174

    Ieee Programming HTML and CSS workshops from Saturday 27 November to 18 December Co-sponsored by: Professor Arman Hamzehlou Kahrizi Agenda: It is a hands-on workshop aiming to introduce the basics of web design using HTML5 and CSS. In this series of workshops, we will step-by-step, create and publish a simple and responsive website to a web-hosting service and finally optimize our website for search engines (SEO) so the website is better picked up by the search engine during a search query. Virtual: https://events.vtools.ieee.org/m/291174

  • BorealisAI presents: Machine Learning Product Development & Business Value

    Virtual: https://events.vtools.ieee.org/m/290691

    IEEE Canada Region and IEEE Toronto Section Industry Engagement Committees are pleased to announce an exceptional talk by Calvin Gerus, Director of Product at BorealisAI. The talk is titled "Machine Learning Product Development & Business Value". Co-sponsored by: BorealisAI Speaker(s): Calvin Gerus, Virtual: https://events.vtools.ieee.org/m/290691

  • Dimension Reduction & Maximum Likelihood: How to compress your data while retaining the key features

    Virtual: https://events.vtools.ieee.org/m/289240

    Prerequisites: You do not need to have attended the earlier talks. If you know zero math and zero machine learning, then this talk is for you. Jeff will do his best to explain fairly hard mathematics to you. If you know a bunch of math and/or a bunch machine learning, then these talks are for you. Jeff tries to spin the ideas in new ways. Longer Abstract: A randomly chosen bit string cannot be compressed at all. But if there is a pattern to it, eg it represents an image, then maybe it can be compressed. Each pixel of an image is specified by one (or three) real numbers. If an image has thousands/millions of pixels, then each of these acts as a coordinate of the point where the image sits in a very high dimensional space. A set of such images then corresponds to a set of these points. We can understand the pattern of points/images as follows. Maximum Likelihood assumes that the given set of points/images were randomly chosen according a multi-dimensional normal distribution and then adjusts the parameters of this normal distribution in the way that maximizes the probability of getting the images that we have. The obtained parameters effectively fits an ellipse around the points/images in this high dimensional space. We then reduce the number of dimensions in our space by collapsing this ellipse along its least significant axises. Projecting each point/image to this lower dimensional space compresses the amount of information needed to represent each image. Virtual: https://events.vtools.ieee.org/m/289240

  • Six Sigma Quality

    Virtual: https://events.vtools.ieee.org/m/288981

    Six Sigma is a management philosophy and set of methods introduced by Motorola and General Electric to eliminate defects in their products and processes. Six Sigma views variation as the enemy and provides with a goal of having less than 3.4 defects per million opportunities. This methodology prescribes project-oriented improvement phases known as Define, Measure, Analyze, Improve and Control (DMAIC). The most important focus of the Six Sigma methodology is that it propagates companies to become customer centric and deliver customers the products and services in the exact specification, highest quality, exact delivery time and quantity Speaker(s): Omar Malik , Agenda: - Introduction - Bio of the presenter - Presentation of the Webinar - Q & A Virtual: https://events.vtools.ieee.org/m/288981

  • “Advances in Microwave Planar Sensors Using Active Circuitry” by Mohammad Abdolrazzaghi

    Toronto, Ontario, Canada, Virtual: https://events.vtools.ieee.org/m/291426

    Please join us for an upcoming talk on Dec 03, 4-5 pm (Eastern Time) by Mohammad Abdolrazzaghi titled "Advances in Microwave Planar Sensors Using Active Circuitry", as part of the 2020-2021 IEEE AP-S seminar series. Abstract: Nowadays, electromagnetism (EM) is being extensively investigated as a leading technology on noninvasive sensing. EM sensors make use of metallic elements, including split-ring resonators (SRRs) and complementary SRRs, to both radiate or receive EM waves. Using EM sensors to monitor changes in a medium, e.g. human body, is based on interrogation of a medium with EM waves that reveals valuable information about its properties. EM-based technologies enable compact, low-profile, yet highly sensitive sensors for cutting-edge sensors. In this talk, a variety of microwave planar sensors will be presented that exhibit high sensitivity for material characterization, focusing on high-performance sensors aided with active circuitry. Emerging technologies such as machine learning will be introduced that enhances the sensor robustness. Last, the potential capabilities of the microwave sensors in microwave and mm-wave frequencies will be discussed to conclude the talk. Speaker: Mohammad Abdolrazzaghi received the B.Sc. degree from the Iran University of Science and Technology, Tehran, Iran, in 2009, and M.Sc. degree from the University of Alberta, Edmonton, AB, Canada, in 2017, all in electrical and computer engineering. He then became involved as a research assistant of Microwave and Millimeter Wave Lab (M2M) at the University of Alberta and Electromagnetics Lead at the Phase Advanced Sensors Corp. in Edmonton, AB. He joined University of Toronto community in 2020 as a PhD student in Electrical and Computer Engineering Department. His research interest includes: Analog Circuit Design, RF Circuits and Microwave Active Sensors, Machine learning, Wireless Power Transfer, and Phased Arrays. He was awarded Alberta Innovates Technology Futures (AITF) Scholarship from University of Alberta (2015), got the first place in for CMC Microsystems’s National Research Council Industrial Collaboration Award in 2015, and Ontario Graduate Scholarship (2021). Virtual: https://events.vtools.ieee.org/m/291426

  • Introduction to Web Development with HTML and CSS

    Toronto, Ontario, Canada, Virtual: https://events.vtools.ieee.org/m/292234

    Ieee Programming HTML and CSS workshops from Saturday 27 November to 18 December Co-sponsored by: Professor Arman Hamzehlou Kahrizi Agenda: It is a hands-on workshop aiming to introduce the basics of web design using HTML5 and CSS. In this series of workshops, we will step-by-step, create and publish a simple and responsive website to a web-hosting service and finally optimize our website for search engines (SEO) so the website is better picked up by the search engine during a search query. Virtual: https://events.vtools.ieee.org/m/292234