Watch the panel discussions and invited talks from #AAAI20

12 February 2020

share this:

If you weren’t able to attend the AAAI20 conference in New York you can catch some of the invited talks and panel sessions via the livestreamed videos. Featured events include Yolande Gil’s presidential address and the Turing Award winners’ session.

Yolande Gil’s presidential address, where she asks: “Will AI write the scientific papers of the future?”:

The Turing Award winners’ session, featuring Yoshia Bengio, Yann LeCun and Geoffrey Hinton:

You can also watch the AI history panel. This was a much anticipated event, featuring none other than chess Grandmaster Garry Kasparov, and didn’t disappoint. The other panellists were Murray Campbell (IBM), Michael Bowling (University of Alberta), Hiroaki Kitano (Sony) and David Silver (Deepmind and University College London). They discussed the technology they developed, challenges they encountered, and how building expert game-playing machines furthers progress in AI techniques that can be applied to real-world problems.

Monday evening saw a light-hearted debate with the proposition: “Academic AI researchers should focus their attention on research problems that are not of immediate interest to industry”.

Based on a small sample size, here are the before and after votes (from Kevin Leyton-Brown’s Twitter poll):



You can find all of the videoed talks and sessions here.


Lucy Smith , Managing Editor for AIhub.

            AIhub is supported by:

Related posts :

Forthcoming machine learning and AI seminars: May 2021 edition

A list of free-to-attend AI-related seminars that are scheduled to take place between 11 May and 30 June 2021.
11 May 2021, by

Artificial intelligence could be used to triage patients suspected at risk of early stage oesophageal cancer

Find out how Cambridge researchers are using deep-learning to assist pathologists.
10 May 2021, by

Counterfactual predictions under runtime confounding

We propose a method for using offline data to build a prediction model that only requires access to the available subset of confounders at prediction time.
07 May 2021, by

©2021 - Association for the Understanding of Artificial Intelligence