Ep. 7 - Artificial Intelligence ft. Jacob Buckman
from Abstract: The Future of Science Hosted by Jeremy Ullman
This week we're treated to the likes of Jacob Buckman, a PhD canditate researching Reinforcement Learning in the domain of Artificial Intelligence. We begin by defining AI: a relatively new phenomenon with the primary goal of automating specific tasks. Where the industrial revolution lightened the load of physical labor for humans, some people believe AI will soon take over the more burdensome mental tasks that plague us. Next, we outline three types of learning: Machine Learning, Reinforcement Learning, and Deep Learning, as well as what is actually meant by 'Deep'. By the end of the hour we will have covered learning tasks of varying difficulty and complexity, algorithms that can identify anything, Pavlov's classic canine experiment, Neural Networks and a whole lot more! Jacob is also our first guest to participate in the "Explain Like I'm 5 Segment!" For an introduction to AI, Jacob recommends "The Deep Learning Book" by Courville, Goodfellow & Bengio at deeplearningbook.org
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