What We Need to Do to Continue Advancing Deep Learning

Explore the future of deep learning in this 36-minute conference talk by Eric Steinberger at WeAreDevelopers. Delve into AI as a science, reinforcement learning, generative adversarial networks, and neural networks. Discover how AI is advancing in areas such as game playing, fake speech generation, and task transfer. Examine the role of compute power in AI development and the importance of environment prediction. Gain insights into the generality of observations and the contributions of pioneers like Geoffrey Hinton. Engage with thought-provoking discussions on AI's applications in climate science and the development of intuitive sense in artificial intelligence.

Intro
What we are doing
AI as a science
The problem we are solving
Reinforcement learning
We want to play
We learn
AI games
generative adversarial network
feedback loop
Neural networks
Fake speech
AI predictions
Neural network
Task transfer
What are neural networks
Compute power in AI
Environment prediction
Generality of observation
Geoffrey Hinton
QA
Climate Science
Intuitive Sense