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Yoshua Bengio: The Past, Present, and Future of Deep Learning

The Gradient: Perspectives on AI

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Is There a Collaborative Social Intelligence?

We have to realize that scientific research is an exploration. And as we learn when we do machine learning, it is necessary to take risks and to explore many paths. That's what allows us to be efficient by investing in many directions that are promising. It's the result of banging my head on hard walls for a few years because I was working on recurrent nets. Sometimes it really didn't work. What's the problem? Let's try to understand, ask the why questions rather than just let's make it work or let’s make it be to the benchmark.

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