highest density
- Information Technology > Artificial Intelligence > Machine Learning > Statistical Learning (0.68)
- Information Technology > Artificial Intelligence > Machine Learning > Neural Networks (0.68)
- Information Technology > Artificial Intelligence > Machine Learning > Learning Graphical Models (0.68)
- (2 more...)
- Information Technology > Artificial Intelligence > Machine Learning > Statistical Learning (0.68)
- Information Technology > Artificial Intelligence > Machine Learning > Neural Networks (0.68)
- Information Technology > Artificial Intelligence > Machine Learning > Learning Graphical Models (0.68)
- (2 more...)
How AI is Helping Vets to Help our Pets
Pets today have a better chance of being successfully treated than ever, thanks to advances in early recognition, diagnosis and treatment. "This is one of the biggest challenges in veterinary pathology. Do you think you can solve it?" Pathologists Dr. Edwards and Dr. Whitley asked in our first meeting. It was December 2018, and our team, Next Generation Technologies, had been founded that year to solve some of the most complex challenges at Mars through technology.
These are the countries with the highest density of robot workers
The rise of the machines has well and truly started. Data from the International Federation of Robotics reveals that the pace of industrial automation is accelerating across much of the developed world with 74 installed industrial robots per 10,000 employees globally in 2016. By 2020, that increased to 113 across the manufacturing sector. Asia now has a robot density of 118 units per 10,000 workers and that figure is 114 and 103 in Europe and the Americas, respectively. China is one of the countries recording the highest growth levels in industrial automation but nowhere has a robot density like South Korea.
- Europe (0.34)
- Asia > South Korea (0.34)
- Asia > China (0.34)
CD-split: efficient conformal regions in high dimensions
Izbicki, Rafael, Shimizu, Gilson, Stern, Rafael B.
Conformal methods create prediction bands that control average coverage assuming solely i.i.d. data. Although the literature has mostly focused on prediction intervals, more general regions can often better represent uncertainty. For instance, a bimodal target is better represented by the union of two intervals. Such prediction regions are obtained by CD-split, which combines the split method and a data-driven partition of the feature space which scales to high dimensions. In this paper, we provide new theoretical properties and simulations related to CD-split. We show that CD-split converges asymptotically to the oracle highest density set. In particular, we show that CD-split satisfies local and asymptotic conditional validity. We also present many new simulations, which show how to tune CD-split and compare it to other methods in the literature. In a wide variety of these simulations, CD-split has a better conditional coverage and yields smaller prediction regions than other methods.
- Oceania > Australia > Western Australia > Perth (0.04)
- North America > United States > Illinois > Cook County > Chicago (0.04)
Infographic: The Countries With The Highest Density Of Robot Workers
The rise of the machines has well and truly started. Data from the International Federation of Robotics reveals that the pace of industrial automation is accelerating across much of the developed world with 66 installed industrial robots per 10,000 employees globally in 2015. A year later, that increased to 74. Europe has a robot density of 99 units per 10,000 workers and that number is 84 and 63 in the Americas and Asia respectively. China is one of the countries recording the highest growth levels in industrial automation but nowhere has a robot density like South Korea.
- Asia > South Korea (0.31)
- Asia > China (0.31)
- Asia > Japan (0.11)
- (4 more...)