Join our technical discussion group showcase where group leaders will give a brief overview of the best recipe the group has built over the past 5 weeks & we will answer any questions for the next cohort. Discussion groups run every 5 weeks on an array of AI topics for junior & senior ML practitioners, but all levels are welcome.

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EVENTBRITE LINK: https://dgmegameetup.eventbrite.ca

LEARN MORE DETAILS AND SIGN UP FOR UPCOMING GROUP HERE (not the event link): https://ai.science/dg

Event Details:
6:00 PM – Welcome & Introduction
6:10 PM – AI Discussion Group Overview
6:15 PM – Discussion Group Showcase (five 5-10 min presentations)
7:00 PM – Networking Breakout Session / Q&A
7:10 PM – Discussion Group Showcase (five 5-10 min presentations)
8:00 PM – Event Ends

Background:
AISC is bringing backing our ‘socratic circles’ format in the form of AI DISCUSSION GROUPS! The old format produced rigorous discussions and debates on recent impactful papers in ML, a healthy environment for junior and senior ML folks to teach and be taught, catalyzed long-term friendships, and overall developed a sense of community in the AI/ML community space.

Now we’re back, but at a larger scale, both in the breadth of topics covered and in terms of location-independence. We are starting 10 (and more to come) discussion groups on various topics on ML, led by experts in the field. The discussion groups will focus not only on learning but also on creation – sharing what we have learned to the world in the form of learning recipes featuring original content like community blog posts, code, and videos. Every once in a while, the discussion groups will contain cameo appearances by leading researchers in the field!
Each discussion group will have its own format, but it usually consists of a weekly touchpoint. Below is a list of discussion groups and their respective groups leads.

Discussion Groups:
-Recent Trends in Natural Language Processing – Suhas Pai & Zach Nguyen
-MLOps and Engineering – Denys Linkov & Ali Darbehani
-Reinforcement Learning – Abdul Rahman Sattar
-Building your AI Product Stack – Ashley Beattie
-Machine Learning Ethics – Willie Costello & Somaieh Nikpoor
-Machine Learning in Healthcare – Karthik Bhaskar & Mary Fallah
-Machine Learning in Finance – Serena McDonnell & Sina Dibaji
-Machine Learning for Economics – Jiri Stodulka & Somaieh Nikpoor
-Time Series Forecasting – Ozan Ozyegen
-Quantum Computing – Kris Kaczmarek