Andrej Karpathy knows what it's like to compete with artificial intelligence. He first went head-to-head with an artificial intelligence algorithm in 2011. A team of Stanford University researchers ...

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The availability of large volumes of data is a key requirement in the development of efficient, robust, and advanced machine learning based prediction models. This paper introduces the ImageNet ...

Image recognition models using artificial intelligence (AI) are intended to accurately identify objects that appear in photos and videos, and are applied to various things such as the external ...

It's been 10 years since two landmark data sets appeared in the world of machine learning, ImageNet and CIFAR10, collections of pictures that have been used to train untold numbers of models of ...

The ResNet family of machine learning algorithms was introduced to the AI world in 2015. A slew of variations was rapidly discovered that at the time pushed the accuracy of ResNets close to the 80% ...