Ai research rankings 2019 insights from neurips and icml leading ai conferences
Google (USA) — 92.21.
NOTE: You might also be interested in our The International Conference on Machine Learning (ICML) is one of the most prestigious AI research conferences (the other one is the Neural Information Processing Systems, or NeurIPS). If a paper has five authors — three from MIT, one from the University of Oxford, and one from Google — each author will get 1/5th of one point, or 0.2. However, we believe that the outcome will depend on the interplay of the advancement of three key ingredients of modern AI: algorithms, hardware, and training data, and it takes getting all three right in order to dominate the field.We believe that the United States will have a strong lead in AI algorithms for years to come, grounded in several decades of track record in the advancement of computer science at world-class universities, such as MIT, Stanford, CMU and UC Berkeley.
Since MIT is based in the United States, MIT affiliation will increase the Publication Index of the United States by 0.6. Facebook (USA) — 33.1 4. Google (USA) — 167.3 2. (medium.com) 6 points | by sirteno 203 days ago sirteno 203 days ago
For instance, in the case above, if the last author listed two affiliations, Google and Stanford University (instead of just Google), both Google and Stanford University would get additional 0.2/2=0.1 points.1. Microsoft (USA) — 51.9 3. Similarly, since the University of Oxford is based in the UK, the EEA + Switzerland category will increase by 0.2. Stanford University (USA) — 39.21.
NOTE: You might also be interested in our AI Research Rankings 2019, where we combined insights from NeurIPS 2019 and ICML 2019.
As a result, from this paper alone, MIT will increase its Publication Index by 3*0.2=0.6 points, the University of Oxford will increase its index by 0.2, and Google will add 0.2. Using conference proceedings (We will start this analysis with details on methodology, continue on to AI research rankings at ICML 2020, then show further interesting descriptive statistics, discuss the changes between ICML 2019 and ICML 2020, and finally conclude with a link to the dataset.The methodology of our Publication Index is inspired by the To glean a country’s, a region’s or an institution’s contribution to an article, and to ensure they are not counted more than once, the Nature Index uses fractional count (FC), which takes into account the share of authorship on each article.
Microsoft (USA) — 51.9 3. If you’d like to download and play with the dataset, it is posted Written byWritten by United States — 1260.21.
In addition, the openness of the likes of Google and Facebook to publishing internal research at the conferences created a thriving ecosystem (and a rotating door of sorts) for top AI researchers to move seamlessly between academia and industry (think In addition, the United States is the home of Silicon Valley (in its original silicon-focused definition), which has been at the forefront of hardware innovation ever since However, where the American advantage is questionable is training data, and it is by design.
AI Research Rankings 2019: Insights from NeurIPS and ICML. Google (USA) — 167.31.
The process is similar for countries/regions, although complicated by the fact that some institutions have overseas labs that will be counted towards host country/region totals.The only difference is that our Publication Index counts overseas labs towards the headquarters country/region (instead of the host country/region).
Read more Who’s Ahead in AI Research in 2020? Amazon (USA) — 14.3 6. The event was attended virtually by the world's leading experts in artificial intelligence and machine learning. 1. Finally, Google is a multinational corporation headquartered in the United States, therefore the United States will increase its Publication Index by an additional 0.2, for the total increase of 0.8.
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