AI - Applied Reinforcement Learning

Apr 25, 2018 · Toronto, Canada

Join the host, Vik Pant (https://www.linkedin.com/in/vikpant), as he convenes a panel of specialists to discuss applications of reinforcement learning in industrial contexts. This session will start with a presentation by Rupam Mahmood, PhD (https://www.linkedin.com/in/rupam-mahmood-915b3811b/). Rupam is the AI Research Lead at Kindred.ai and his talk will be titled "Making Minds for Robots with Reinforcement Learning". He earned his PhD in Computer Science from the University of Alberta. This will be followed by a presentation by Luke Mellor (https://www.linkedin.com/in/luke-mellor-02b55b50/). Luke is a Sales & Marketing Coordinator at Pantonium. He will present an overview of Pantonium and its use of reinforcement learning in its IoT based solution for Real-Time Routing and Fleet Management. Luke is a graduate of Ryerson University with a BA in Arts and Contemporary Studies.

After this presentation, Haotian Zhang, Ph.D. (https://www.linkedin.com/in/haotian-zhang/), Justin Girard (https://www.linkedin.com/in/justin-girard-796b6437/), and Bradley Arsenault (https://www.linkedin.com/in/bradaarsenault/) will share their insights about real-world applications of reinforcement learning. Haotian is an AI Researcher at ecobee. He earned his Ph.D. in Electrical and Computer Engineering from the University of Waterloo. Justin is the CTO of FleetRover and Founder of Pax Cultura Studios. He earned his M.ASc degree in Space Mechatronics from the Institute for Aerospace Studies at the University of Toronto. Bradley is the Founder & CEO of Electric Brain. He earned a Bachelor's Degree in the field of Commerce and Entrepreneurship from Dalhousie University.

These techno-functional professionals are in a great position to discuss the application of production-grade reinforcement learning techniques in industrial settings. The format of this conversation will be a free flowing and easy going discussion between the panelists. Panelists will discuss the types of problems that they solve with reinforcement learning techniques, the tools as well as data sets that they use, the challenges they face, and data science jobs in their organizations. Attendees will get the opportunity to network with each other as well as with the host and the panelists. An open mic segment will allow interested attendees to address the audience with fifteen-second lightning pitches about relevant topics. Complimentary refreshments including pizza and non-alcoholic beverages will be provided.

Schedule:

6:00PM - 6:20PM - Registration + Professional Networking
6:20PM - 6:55PM - Presentation by Rupam Mahmood, PhD
6:55PM - 7:15PM - Brief Presentation by Luke Mellor
6:15 PM - 7:45 PM - Panel discussion moderated by Vik Pant
7:45 PM - 7:55 PM - Open Mic for Fifteen-Second Lightning Pitches
7:55 PM - 8:00PM - Professional Networking + Wrap Up

A few words from our host (Lighthouse Labs):

Lighthouse Labs will take you from coding hobbyist to professional developer in 10 weeks. With the support of a brilliant team of instructors and mentors who view coding as the ultimate craft, you’ll join the ranks of over 1000+ developers in the Lighthouse Labs community. Our industry driven curriculum and rigorous education standards have created the ultimate result for our graduates: over 96% employment rate.

Come to our next Demo Day!
Thursday April 19th - 6-8pm
Thursday May 17th - 6-8pm

https://lighthouselabs.ca/?utm_source=TSIF&utm_medium=referral&utm_campaign=April25Event

Event organizers
  • Toronto Machine Learning Specialists and Enthusiasts

    Machine Learning is changing the game of business and applied artificial intelligence is disrupting industries as well as reshaping markets. If "data is the new oil" then machine learning spans the value chain from the oil well to the gas tank! Commercial and public sector organizations are facing unprecedented upheaval and uncertainty as a result of the innovatory potential of these technologies. As a result, many organizations are redesigning their business models and go-to-market strategies to take adva

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