Learning to Learn, and other Opportunities in Machine Learning with Graham Taylor - TWiML Talk #62
Published:Nov 3, 2017 15:48
•1 min read
•Practical AI
Analysis
This article summarizes a podcast episode featuring Graham Taylor, a professor at the University of Guelph and affiliated with the Vector Institute for Artificial Intelligence. The discussion covers key trends and challenges in AI, including the shift towards creative systems, the integration of human-in-the-loop AI, and the advancements in teaching computers to learn-to-learn. The podcast was recorded at the Georgian Partners Portfolio Conference, highlighting the relevance of these topics within the AI community. The article serves as a brief overview, directing listeners to the full podcast for detailed insights.
Key Takeaways
- •The podcast discusses key trends and challenges in AI.
- •The focus includes the shift towards creative AI systems.
- •The importance of teaching computers to learn-to-learn is highlighted.
Reference
“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.”