Learning to Learn, and other Opportunities in Machine Learning with Graham Taylor
EPISODE 62
|
NOVEMBER
3,
2017
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About this Episode
The podcast you're about to hear is the third of a series of shows recorded at the Georgian Partners Portfolio Conference last week in Toronto. My guest this time is Graham Taylor, professor of engineering at the University of Guelph, who keynoted day two of the conference.
Graham leads the Machine Learning Research Group at Guelph, and is affiliated with Toronto's recently formed Vector Institute for Artificial Intelligence. Graham and I discussed a number of the most important trends and challenges in artificial intelligence, including the move from predictive to creative systems, the rise of human-in-the-loop AI, and how modern AI is accelerating with our ability to teach computers how to learn-to-learn.
About the Guest
Graham Taylor
University of Guelph
Connect with Graham
Resources
- Geoffrey Hinton
- Vector Institute
- Yoshua Bengio
- Montreal Institute for Learning Algorithms
- Yann LeCun
- Rob Fergus
- Steven Merity Blog Post
- Kindred Robotics
- Google DeepMind Alpha Go
- MultiModal Data
- Bayesian Optimization
- Hyper-Parameter Optimization
- Caustic Regularization
- Carlos Guestrin - Lime
- Carlos Guestrin - TWIML Talk #7
- Georgian Partners
- NYU Future of AI Summit
- NYU Nexus Labs Series
- TWIML Talk #20 - Kathryn Hume
- TWIML Talk #21 - Ruchir Puri
- TWIML Talk #22 - Matt Zeiler
