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The Wild Week in AI - AI and Unemployment report, NIPS summaries, OpenNMT release, ICLR paper analysis

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TLDR; White house releases follow-up report on AI, Automation, and the Economy; Understanding backpro
 

The Wild Week in AI

December 26 · Issue #33 · View online
The Wild Week in AI is a weekly AI & Deep Learning newsletter curated by @dennybritz.

TLDR; White house releases follow-up report on AI, Automation, and the Economy; Understanding backpropagation can be crucial if you want to write bug-free code; NIPS highlights inside; HarvardNLP and SYSTRAN open-source industrial strength NMT system;  Somewhat of a slow week in terms of new research, use the holidays to catch up with papers!

News
AI, Automation, and the Economy (White House)
The Robots, AI, and Unemployment Anti-FAQ
Deep Learning Race: A Survey of Industry Players’ Strategies
Posts, Articles, Tutorials
Yes you should understand backprop
Faulty Reward Functions in the Wild
Highlights of NIPS 2016: Adversarial Learning, Meta-learning
50 things I learned at NIPS 2016
Code, Projects & Data
OpenNMT
An early overview of ICLR2017
Practical Deep Learning For Coders—18 hours of free lessons
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