This month a few members of the Data team attended Spark + AI Summit 2018 in San Francisco. In addition to speakers from Databricks, the keynotes featured speakers from a wide variety of industries, including software, car manufacturing, genomics, and even construction. There were over 200 sessions that were organized into tracks, such as developer, data scientist, AI, technical deep dives, and advanced analytics. We’d like to share our favorite sessions with you!
I was really intrigued by Luis Leal’s talk about Differential Neural Computers. This model, recently developed by Deep Mind, combines the learning capabilities of a neural network with an external memory store. This one ups recurrent neural nets, by dramatically increasing the scale of memory the network can retain. What’s really fascinating about this though, is that the neural net learns how to manage memory storage and retrieval on its own, in a similar manner…
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