EigenAI

Help shape the future of AI and ML at UTMIST

What is EigenAI?

EigenAI is a UTMIST and CSSU conference exploring AI through diverse perspectives. Named after eigenvectors, it builds industry-academia connections, showcases various AI applications, offers hands-on workshops, and meets participants where they are.

Executive photo from EigenAI event
Co-president speech at EigenAI
Fibonacci sequence visualization

Our Past Speakers

Amrit Krishnan's profile picture

Amrit Krishnan

Technical Team Lead at Vector Institute

Devang Sharma's profile picture

Devang Sharma

Engineer at Amazon

Tyler Smith's profile picture

Tyler Smith

Software Engineer at AI Warehouse

Priyanka Velagala's profile picture

Priyanka Velagala

Speaker

Marcelo Ponce's profile picture

Marcelo Ponce

Professor at University of Toronto

Mustafa Khan's profile picture

Mustafa Khan

Technical Director at aUToronto

Ryan Koh's profile picture

Ryan Koh

Postdoctoral Fellow at UofT/KITE-UHN

Ax = λx

We bring together different eigenvectors - special kind of vectors often times with varying magnitudes and directions

With over 500+ participants, EigenAI is built for AI practitioners of all skill levels

Blue Tick Icon

Begineers: Learn fundamentals of AI/ML, meet peers and build your network within UTMIST

Blue Tick Icon

Enthusiasts: Explore professional networking and internships, learn about latest AI applications in industry

Blue Tick Icon

Experts: Connect with professors and industry leaders to understand ML applications in production and research

Basis Vectors of EigenAI

Building connections with engineers and researchers
Showcasing diverse perspectives of the ML landscape
Gaining hands-on experience with technical workshops
Gaining hands-on experience with technical workshops

Gaining hands-on experience with technical workshops, and much more and more. Gaining hands-on experience with technical workshops, and much more and more

Gaining hands-on experience with technical workshops