What AI Can’t Do
Societal hype around AI is a byproduct of a few recent scientific breakthroughs — speech recognition, computer vision, natural language processing — in short, a computer’s ability to acquire human senses and mimic the human brain.
Yoshua Bengio (world-renowned professor and head of the Montreal Institute for Learning Algorithms) has been at the front lines of the Deep Learning Revolution that has enabled this kind of innovation. In this episode, he gives an overview of where the tech is actually at: how close is it to mirroring human senses?
Featured in this episode:
- Yoshua Bengio, Head of the Montreal Institute for Learning Algorithms (MILA)
- Daniel Gross, Partner at Y Combinator and Head of the AI Track
Mentioned in the episode:
- The Rise of Artificial Intelligence through Deep Learning (video), Yoshua Bengio at TEDxMontreal
- NIPS, the Annual Conference on Neural Information Processing Systems
- CIFAR, Canadian Institute for Advanced Research
- Asimov’s Three Laws of Robotics (Wikipedia)
- Artificial neural networks (Wikipedia)