Tuesday, December 1, 2020 — 10:00 AM to 11:30 AM EST
image of Prof. Taylor

Speaker: Prof. Graham Taylor

Abstract: Conditional Generative Adversarial Networks (cGANs) are finding increasingly widespread use in many application domains, most notably text-to-image synthesis. In this talk, I will address two outstanding limitations of this paradigm.

Tuesday, November 3, 2020 — 10:00 AM to 11:30 AM EST
Image of Dr. Emtiyaz Khan.

Speaker: Dr. Emtiyaz Khan - Team Leader at RIKEN center for Advanced Intelligence Project (AIP)

Friday, May 1, 2020 — 10:30 AM to 11:30 AM EDT

Please join us for the next institute seminar on Friday, May 1 at 10:30am in DC 1302.


Title: Conditional Generative Adversarial Networks: Iterative Generation and Holistic Evaluation

Abstract: Conditional Generative Adversarial Networks (cGANs) are finding increasingly widespread use in many application domains, most notably text-to-image synthesis. In this talk, I will address two outstanding limitations of this paradigm.

Friday, April 17, 2020 — 10:30 AM to 11:30 AM EDT

Please join us for the next institute seminar on Friday, April 17 at 10:30am in DC 1302.


Title: Motion intelligence for human-centered robots: humanoids, exoskeletons and assistive devices

Abstract: TBD


Speaker Bio:

A renowned international expert in human-centred robotics will join Waterloo Engineering in March of 2020 to lead a major research program.

Tuesday, March 31, 2020 — 1:30 PM to 2:30 PM EDT

Please join us for the next institute seminar on Tuesday, March 31 at 1:30pm in DC 1302.


Title: Algorithmic Fairness and the Law

Abstract: 

Friday, March 20, 2020 — 2:30 PM to 3:30 PM EDT

Please join us for the next institute seminar on Friday, March 20 at 2:30pm in DC 1302.


Title: Computational Rhetoric and Neural Networks in Abusive Language Detection

Abstract: TBD


Speaker Bio:

Friday, March 13, 2020 — 10:30 AM to 11:30 AM EDT

Please join us for the next institute seminar on Friday, March 13 at 10:30am in DC 1302.


Title: Fair Reward Division

Abstract: 

Axiomatic approaches are an appealing method for designing fair algorithms, as they provide a formal structure for reasoning about and rationalizing individual decisions. However, to make these algorithms useful in practice, their axioms must appropriately capture social norms.

Wednesday, February 26, 2020 — 1:30 PM EST

THIS EVENT HAS BEEN CANCELLED

Please join us for the next institute seminar on Wednesday, February 26 at 1:30pm in DC 1302.


Title: Noise Flow: Noise Modeling with Conditional Normalizing Flows

Wednesday, February 5, 2020 — 3:00 PM EST
the job fair poster

Job Fair

Are you interested in Artificial Intelligence?
Are you a Master's Student? Ph.D. Student? 4B Math/CS or Engineering?
Are you looking for your next co-op? Intern? Full-time position in AI?


If you have answered YES to all, you are in for a treat!

Friday, January 17, 2020 — 10:30 AM GMT

Please join us for the next institute seminar on Friday, January 17 at 10:30am in DC 1302.

Friday, January 10, 2020 — 10:30 AM EST

Please join us for the next institute seminar on Friday, January 10 at 10:30am in DC 1302.

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