Alberta Machine Intelligence Institute

AI Track at Edmonton Startup Week 2021

Published

Oct 18, 2021

Edmonton Startup Week returns October 18-22, 2021! The event is produced by Startup Edmonton and Innovate Edmonton and features workshops, socials and events celebrating the vibrancy of the startup community in Edmonton. Amii is thrilled to be sponsoring the AI and machine learning track this year.

“AI and machine learning are huge opportunity areas for startups, especially in Edmonton. Here, startups have access to world-class researchers, talent and support -- including Amii’s own Startup Program,” says Adam Danyleyko, Amii’s Product Owner - Startups. “We are proud to bring AI & ML to Edmonton Startup Week, showcasing the incredible innovation of local companies, groundbreaking research happening out of the University of Alberta, and the untapped opportunity of this technology.”

Here is where you can catch the Amii team:

ML in the Wild

October 19, 3:30-4:30 PM MDT

You’ve seen artificial intelligence and machine learning portrayed in the movies, TV shows, and books for generations but what is machine learning, really? What can machine learning do, what can it not do, what happens when it fails, and what is it being used for right here in Edmonton? Join experts from one of Canada's AI centres of excellence to learn what machine learning looks like in the wild!


AI Meetup

October 20, 5-6:30 PM MDT

Learn about the latest tools, techniques and research in AI and machine learning. This special edition of the AI Meetup features Arnold Gihozo from Areto Labs and Mohammadhossein Reshadi from Samdesk.

AI Seminar

October 22, 12-1 PM MDT

Join us for this special edition of the AI Seminar, a weekly meeting at the University of Alberta where researchers interested in AI can share their work. Jacob L. Jaremko (Fellow & Canada CIFAR AI Chair at Amii) shares his experience as a Co-Founder and Clinical Strategist of MEDO.ai, the world's first FDA-cleared AI platform that makes ultrasound workflow faster, more reliable and accessible to all. Discover how work that began in academia went on to a successful AI startup.

Authors

Britt Ayotte

Spencer Murray

Jacob L. Jaremko

Adam Danyleyko

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