Why democratizing AI matters: Computing, data, algorithms, and talent
Jia Li has contributed to some of the most influential datasets in the world and helped transform computer vision from an academic niche into a dominant technology. Jia explains why a democratized approach to AI ensures that the compute, data, algorithms, and talent behind these technologies reach the widest possible audience.
Talk Title | Why democratizing AI matters: Computing, data, algorithms, and talent |
Speakers | Jia Li (Google) |
Conference | Artificial Intelligence Conference |
Conf Tag | Put AI to Work |
Location | San Francisco, California |
Date | September 18-20, 2017 |
URL | Talk Page |
Slides | |
Video | Talk Video |
Jia Li has contributed to some of the most influential datasets in the world and helped transform computer vision from an academic niche into a dominant technology. Jia explains why a democratized approach to AI ensures that the compute, data, algorithms, and talent behind these technologies reach the widest possible audience.