Decoding Deep Learning with Yoshua Bengio
In an exclusive interview with Analytics India Magazine, Yoshua said if we understood the physics of flight, we might have built aeroplanes inspired by birds, but we have not built bird-like machines.
What do Yann LeCun, Yoshua Bengio, and Geoffrey Hinton have in common? Besides being called the 'Godfathers of deep learning,' – it's their unique school of thought.
While Bengio likes attention mechanisms, LeCun believes self-supervised learning is the answer to achieving truly 'conscious' AI systems. Meanwhile, Hinton's most recent 'forward-forward propagation' seems to be the new feat in deep learning.
However, the question is, how far are we in achieving AGI, and is it the end goal of AI? If you ask Bengio, he will tell you why he doesn't like the sound of AGI, or rather the terminology of it. "It's hard to say. But, if we understand the principles of intelligence that make us intelligent, we can probably go beyond human intelligence," said Bengio.
In an exclusive interview with Analytics India Magazine, he said if we understood the physics of flight, we might have built aeroplanes inspired by birds, but we have not built bird-like machines. "We have built aeroplanes that can do things that birds cannot do. Birds can do things that aeroplanes cannot," he added, drawing us an interesting parenthesis.
