Amii's Virtual AI Meetup - October 15, 2020
Online
Online
Learn about the latest tools and techniques in machine learning, and explore topics that researchers and industry professionals are thinking about or working on. Each meetup features two presenters; at the end of each presentation, participants will have the opportunity to participate in a Q&A session.
Presenters for this month include:
Patrick Pilarski – Amii Fellow & Associate Professor and Canada Research Chair – Faculty of Medicine & Dentistry
Time is fundamental to reinforcement learning. The literature to date has described many ways that animals and machines use aspects of the flow of time and temporal patterns to make predictions, inform decisions, process past experiences, and plan for the future. In this talk, Patrick will begin with a survey of how and why agents perceive and represent time, as selected from the animal learning and neuroscience literature. He will then suggest what he thinks is a desirable set of time-related abilities for machine agents to acquire, demonstrate, and master as they continually interact with the environment around them.
Luke Kumar – Machine Learning Scientist at Amii
Luke’s talk – Predicting 30-Day Risk of Adverse Outcomes at the Time of an Opioid Dispense – stems from Amii’s recent engagement with health analytics company OKAKI, wherein Amii helped OKAKI plan, launch and run their first ML project. Luke will share the results of the project, which uses ML to predict opioid dispense risk based on health data from Alberta.
Join us virtually for Amii’s monthly AI Meetup and be a part of building Alberta’s growing AI community!
If you, or someone you know, have a great AI-related presentation in mind that you would like to share with the community, please fill out this form to let us know what you would like to present and what you've been working on!
Not your average AI conference!
Not your average AI conference!
Not your average AI conference!
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