Interview
summary
Defines AI as machines showing adaptive behavior and cites a Sony product that models user behaviors to personalize experience, reports concrete wins using classification and regression with deep learning but stresses those tasks remain simple predictors, argues the next milestone is predict entire sentence style structured prediction, describes ongoing work building vector-space semantic representations for complex concepts and says those representations are promising yet not fully working today.
AI-written summary · about
chapters (5)
- 0:00Intro
- 0:17What is Artificial Intelligence
- 0:55Classification and Regression
- 1:33Language Semantics
- 2:08Conclusion
related talks
54mAI: Actual Intelligence
26mKeynote: AI in the Real World: Today and Tomorrow
19mAI: The current state of play
10mAI for automation, algorithms, and intelligent agents
36mArtificial Intelligence: The Future of Software
01h 51mAI and Social Entrepreneurship
29mWhat on earth does it mean to build AI software?
18mOn the History and Future of AI
