16,625 papers The MIT Technology Review analyze
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16,625 papers
The MIT Technology Review analyzed 16,625 abstracts of academic papers in the “artificial intelligence” section of the arXiv, a repository of scientific work, to understand where AI is heading.
https://fivethirtyeight.com/features/signific...n-30-2019/
The researchers observed three trends: “a shift toward machine learning during the late 1990s and early 2000s, a rise in the popularity of neural networks beginning in the early 2010s, and growth in reinforcement learning in the past few years.” [MIT Technology Review]