Team breaks world record for fast, accurate AI training
https://phys.org/news/2018-11-team-world-fast-accurate-ai.html
AlexNet and ResNet-50 are deep neural networks built on ImageNet, a large-scale dataset for visual recognition. Once trained, the system was able to recognise and label an object in a given photo. The result is significantly faster than previous records and outperforms all other existing systems.
Machine learning is a set of mathematical approaches that enable computers to learn from data without explicitly being programmed by humans. The resulting algorithms can then be applied to a variety of data and visual recognition tasks used in AI.