Endless Summer School:AI for Sustainability and Climate Change

Date
Tuesday, April 25, 2023

Time
10:00 AM - 12:00 PM

Location
Vector Institute and online

Registration is required

AI research is moving at lightning speed and it can be hard for industry-focused practitioners to keep up. Designed for a highly technical audience who wants to take their understanding of AI to the next level, Endless Summer School showcases new and interesting research from Vector's network of 700 researchers. This series delves into the latest advances in AI domains, helps to distill thousands of academic papers into the critical few insights practitioners need, and keeps technical practitioners at the cutting edge of AI research.

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Description

This Endless Summer School (ESS) session will gather leading experts from academia and industry to share their insights on cutting-edge research and innovation in the field of AI for sustainability. The event will explore the intersection of AI and sustainability by examining how AI can be used to optimize energy efficiency, reduce carbon emissions, and promote sustainable practices across various sectors.

This hybrid event will take place in-person at Vector Institute MaRS Office, located at 661 University Ave Suite 710, Toronto. Please note that registration is required and in-person space is limited.

This ESS seminar includes a hands-on demo by CentML. For the best experience, in-person participants are encouraged to bring their own laptop for the demo session.

10:00 - 10:05 AM

Sedef Akinli Kocak, Director,  Vector Institute
Opening remarks

10:05 - 10:30 AM

Marshall Wang, Vector Institute
Talk title: "HV(Ai)C - Reinforcement Learning with Hyperspace Neighbour Penetration for Energy Efficient HVAC Control"

10:30 - 11:00 AM

Vianey Leos Barajas, University of Toronto, Vector Institute
Talk title: "Using Drones, Robots, and Other Technology for Marine Animal Conservation"

11:00 AM - 12:00 PM

Michael Shin, CentML
Xin Li, CentML
Talk title and demo: "The Power of Profiling: Optimizing ML Workloads to Reduce Energy Usage and Carbon Emissions"

12:00 PM

Closing remarks & adjourn
Marshall Wang
Marshall Wang
Associate Applied Machine Learning Specialist
Vector Institute
Vianey Leos Barajas
Vianey Leos Barajas
Assistant Professor, Department of Statistical Sciences & School of the Environment
University of Toronto
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Michael Shin
Senior Full-Stack Engineer
CentML
Xin Li
Xin Li
Research Engineer
CentML

If you wish to attend in person, please ensure that you have stated so in your registration, or send us an email. Space is limited and will be allocated on a first come, first serve basis.

This event is open to Vector Sponsors, Vector Researchers, and invited health partners only. Any registration that is found not to be a Vector Sponsor, Vector Researcher or invited health partner will be asked to provide verification and, if unable to do so, will not be able to attend the event. Please contact events@vectorinstitute.ai with any questions.