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.
Our Past Speakers
Amrit Krishnan
Technical Team Lead at Vector Institute
Devang Sharma
Engineer at Amazon
Tyler Smith
Software Engineer at AI Warehouse
Priyanka Velagala
Speaker
Marcelo Ponce
Professor at University of Toronto
Mustafa Khan
Technical Director at aUToronto
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
Begineers: Learn fundamentals of AI/ML, meet peers and build your network within UTMIST
Enthusiasts: Explore professional networking and internships, learn about latest AI applications in industry
Experts: Connect with professors and industry leaders to understand ML applications in production and research
Basis Vectors of EigenAI
Gaining hands-on experience with technical workshops, and much more and more. Gaining hands-on experience with technical workshops, and much more and more
