BEGIN:VCALENDAR VERSION:2.0 PRODID:-//IEEE Toronto Section - ECPv6.15.17//NONSGML v1.0//EN CALSCALE:GREGORIAN METHOD:PUBLISH X-ORIGINAL-URL:https://www.ieeetoronto.ca X-WR-CALDESC:Events for IEEE Toronto Section REFRESH-INTERVAL;VALUE=DURATION:PT1H X-Robots-Tag:noindex X-PUBLISHED-TTL:PT1H BEGIN:VTIMEZONE TZID:UTC BEGIN:STANDARD TZOFFSETFROM:+0000 TZOFFSETTO:+0000 TZNAME:UTC DTSTART:20200101T000000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTART;TZID=UTC:20211129T120000 DTEND;TZID=UTC:20211129T130000 DTSTAMP:20260418T001139 CREATED:20211121T133554Z LAST-MODIFIED:20211229T092505Z UID:10000490-1638187200-1638190800@www.ieeetoronto.ca SUMMARY:BorealisAI presents: Machine Learning Product Development & Business Value DESCRIPTION: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 URL:https://www.ieeetoronto.ca/event/borealisai-presents-machine-learning-product-development-business-value/ LOCATION:Virtual: https://events.vtools.ieee.org/m/290691 END:VEVENT BEGIN:VEVENT DTSTART;TZID=UTC:20211127T170000 DTEND;TZID=UTC:20211127T180000 DTSTAMP:20260418T001139 CREATED:20211124T133623Z LAST-MODIFIED:20211227T091802Z UID:10000491-1638032400-1638036000@www.ieeetoronto.ca SUMMARY:Introduction to Web Development with HTML and CSS DESCRIPTION: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 URL:https://www.ieeetoronto.ca/event/introduction-to-web-development-with-html-and-css/ LOCATION:Virtual: https://events.vtools.ieee.org/m/291174 END:VEVENT BEGIN:VEVENT DTSTART;TZID=UTC:20211125T180000 DTEND;TZID=UTC:20211125T200000 DTSTAMP:20260418T001139 CREATED:20211030T112020Z LAST-MODIFIED:20211225T090309Z UID:10000481-1637863200-1637870400@www.ieeetoronto.ca SUMMARY:IEEE CIC x GMU Indie Game Jam: UI & Game Controller DESCRIPTION: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 URL:https://www.ieeetoronto.ca/event/ieee-cic-x-gmu-indie-game-jam-ui-game-controller/ LOCATION:Virtual: https://events.vtools.ieee.org/m/287756 CATEGORIES:Instrumentation & Measurement,Women in Engineering END:VEVENT BEGIN:VEVENT DTSTART;TZID=UTC:20211123T170000 DTEND;TZID=UTC:20211123T183000 DTSTAMP:20260418T001139 CREATED:20211030T112020Z LAST-MODIFIED:20211223T084823Z UID:10000480-1637686800-1637692200@www.ieeetoronto.ca SUMMARY:Reinforcement Learning Game Tree / Markoff Chains DESCRIPTION: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 URL:https://www.ieeetoronto.ca/event/reinforcement-learning-game-tree-markoff-chains/ LOCATION:Virtual: https://events.vtools.ieee.org/m/287737 CATEGORIES:Instrumentation & Measurement,Women in Engineering END:VEVENT BEGIN:VEVENT DTSTART;TZID=UTC:20211123T160000 DTEND;TZID=UTC:20211123T173000 DTSTAMP:20260418T001139 CREATED:20211109T123535Z LAST-MODIFIED:20211223T084823Z UID:10000485-1637683200-1637688600@www.ieeetoronto.ca SUMMARY:Third Richard Marceau Energy Symposium DESCRIPTION: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 URL:https://www.ieeetoronto.ca/event/third-richard-marceau-energy-symposium/ LOCATION:Toronto\, Ontario\, Canada\, Virtual: https://events.vtools.ieee.org/m/289246 END:VEVENT BEGIN:VEVENT DTSTART;TZID=UTC:20211123T120000 DTEND;TZID=UTC:20211123T130000 DTSTAMP:20260418T001139 CREATED:20211019T092612Z LAST-MODIFIED:20211223T084823Z UID:10000315-1637668800-1637672400@www.ieeetoronto.ca SUMMARY:3GPP Standards for 5G New Radio: from Release 15 and beyond DESCRIPTION: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 URL:https://www.ieeetoronto.ca/event/3gpp-standards-for-5g-new-radio-from-release-15-and-beyond/ LOCATION:Montreal\, Quebec\, Canada CATEGORIES:Young Professionals END:VEVENT BEGIN:VEVENT DTSTART;TZID=UTC:20211118T180000 DTEND;TZID=UTC:20211118T200000 DTSTAMP:20260418T001139 CREATED:20211030T112020Z LAST-MODIFIED:20211218T081851Z UID:10000479-1637258400-1637265600@www.ieeetoronto.ca SUMMARY:IEEE CIC x GMU Indie Game Jam: Enemy & Enemy AI DESCRIPTION: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 URL:https://www.ieeetoronto.ca/event/ieee-cic-x-gmu-indie-game-jam-enemy-enemy-ai/ LOCATION:Virtual: https://events.vtools.ieee.org/m/287749 CATEGORIES:Instrumentation & Measurement,Women in Engineering END:VEVENT BEGIN:VEVENT DTSTART;TZID=UTC:20211116T170000 DTEND;TZID=UTC:20211116T183000 DTSTAMP:20260418T001139 CREATED:20211030T112019Z LAST-MODIFIED:20211216T081306Z UID:10000478-1637082000-1637087400@www.ieeetoronto.ca SUMMARY:Generalizing from Training Data DESCRIPTION: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