The 94-page AI Index 2018 tries to be a comprehensive resource of data & analysis for professionals and the general public to learn about artificial intelligence.
Its steering committee includes top names from Stanford, MIT, Harvard, McKinsey, SRI International, Open AI, and Partnership on AI.
Some of the highlights for 2018 are below:
– Artificial intelligence outpaces computer science, a continued acceleration of interest in AI publishing
– Europe is the largest publisher of AI papers (28%), followed by China (25%) and the United States (17%).
– Shown below, 56% of papers are in the “machine learning and probabilistic reasoning” category, doubling from 2010, when the rate was 28%.
– Similarly staggering is the rise of computer vision and pattern recognition papers published from 2010 through 2017 on arXiv, dominating the field since 2015.
– The number of Scopus papers on neural networks had a CAGR of 37% from 2014 through 2017.
– From 2007 through 2017, government AI papers in China increase 400% while corporate AI papers in China increased by 73%.
Speaking of China, 70% of the AAAI submitted papers in 2018 came from China or the US. China led the way in submissions, but was on par with the US for accepted papers (China with 21% acceptance rate, the US with 29% – Germany and Italy had the highest acceptance rate, at 41%, but with significantly less submissions).
As I mentioned earlier in the week in a post on AI business models, China and the US are too close to call in their race for global AI leadership.
Stay tuned, and better yet, stay informed.
2017 introductory machine learning course enrollment was 5x greater than it was in 2012, and is continuing to rise – join them.