Yoshua Bengio: equipping AI with higher level cognition and creativity

1

Introduction

00:00 • 2min

2

What Was Your Motivation at the Time to Work on Language?

02:23 • 3min

3

Is Language a Continuous Medium?

05:42 • 5min

4

The Evolution of Neural Language Models

10:16 • 3min

5

Is There a Limit to Scaling?

13:36 • 4min

6

Inductive Biases for Machine Learning for Higher Level Cognitive

17:40 • 2min

7

Inductive Bias in Machine Learning

20:01 • 5min

8

The Inductive Bias and the Bottleneck in Deep Learning

24:58 • 4min

9

The Evolution of the Evolution of Language in the Human Line

28:31 • 3min

10

The Conscious Versus Unconscious

31:18 • 3min

11

Is There a Difference in Attention Architectures?

34:04 • 4min

12

Symbols Help Distinguish Information

37:40 • 4min

13

Archie Floe Networks - Is There a Future?

41:53 • 2min

14

G-Flonets and Variational Methods

43:51 • 5min

15

How to Train a G-Flonet?

48:23 • 2min

16

McMc - What's Next?

50:26 • 2min

17

Model-Based Learning

52:09 • 2min

18

Aspects of Reward Shaped Compact Models in Reinforcement Learning

54:14 • 2min

19

What's the Future of AI?

56:09 • 5min

20

Is Machine Learning a Good Idea?

01:01:21 • 2min

21

Optimize Against an Objective

01:03:30 • 2min

22

The Montreal Declaration for a Responsible Development of Artificial Intelligence

01:05:24 • 3min

23

Can Machine Learning Help Rally Leadership in Different Countries?

01:08:02 • 2min

24

You're Walking, Your Brain Works Differently

01:09:33 • 2min

25

How Did You Become a Scientist?

01:11:42 • 2min

26

How to Build Self-Confidence in Machine Learning?

01:14:05 • 3min