Duration: 35:36

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Episode 16 | March 21, 2018

Dr. Trischler talks about his dream of making literate machines, his efforts to design meta-learning algorithms that can actually learn to learn, the importance of what he calls “few-shot learning” in that meta-learning process, and how, through a process of one-to-many mapping in machine learning, our computers not may not only be answering our questions but asking them as well.

See more at https://www.microsoft.com/en-us/research/blog/category/podcast/