Yoshua Bengio: Deep Learning Cognition | Full Keynote – AI in 2020 & Beyond
Yoshua Bengio, considered one of the 'Godfathers of Artificial Intelligence' discusses Recurrent independent mechanisms, sample complexity, end-to-end adaptation, multivariate categorical MLP conditionals and more.
When summarising his talk, Professor Bengio gave three key points to keep in mind when ‘looking forward’
- We must build a world model which meta-learns causal effects in abstract space of causal variables. This requires a necessity to quickly adapt to change and generalize out-of-distribution by sparsely recombining modules
- The necessity to acquire knowledge and encourage exploratory behaviour
- The need to bridge the gap between the aforementioned system 1 and system 2 ways of thinking, with old neural networks and consciousness reasoning taken into account
Yoshua Bengio, considered one of the ‘Godfathers of Artificial Intelligence’ discusses Recurrent independent mechanisms, sample complexity, end-to-end adaptation, multivariate categorical MLP conditionals and more.
When summarising his talk, Professor Bengio gave three key points to keep in mind when ‘looking forward’
– We must build a world model which meta-learns causal effects in abstract space of causal variables. This requires a necessity to quickly adapt to change and generalize out-of-distribution by sparsely recombining modules
– The necessity to acquire knowledge and encourage exploratory behaviour
– The need to bridge the gap between the aforementioned system 1 and system 2 ways of thinking, with old neural networks and consciousness reasoning taken into account
