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Talking Machines: Machine learning and magical thinking, with Ilya Sutskever
Robohub is excited to bring you our newest series – the Talking Machines podcast. Hosted by Katherine Gorman and Ryan Adams, Talking Machines is your window into the world of machine learning. You can catch new episodes every two weeks on Thursdays.
Today on Talking Machines we hear from Google researcher Ilya Sutskever about his work, how he became interested in machine learning, and why it takes a little bit of magical thinking. We take your questions, and explore where the line between human programming and computer learning actually is. And we sift through some news from the field, Ryan explains the concepts behind one of the best papers at NIPS this year, A * Sampling and Katherine brings up an open letter about research priorities and ethical questions that was recently published.
If you liked this podcast, you may also be interested in:
- Introducing Talking Machines: Your window into the world of machine learning
- Artificial General Intelligence that plays Atari video games: How did DeepMind do it?
- Why robots will not be smarter than humans by 2029
- A computer vision system for mining artistic influence
tags: AI, Algorithm AI-Cognition, c-Research-Innovation, Deep Learning, Ilya Sutskever, machine learning, podcast
