Dictionary · AI Glossary: Artificial intelligence, in so many words
L2 — definitions grouped by regulatory framework.
Nouns
5 senses- Supervised Learning
A type of machine learning in which the algorithm compares its outputs with the correct outputs during training. In unsupervised learning, the algorithm merely looks for patterns in a set of data.
- Transfer Learning
A technique in machine learning in which an algorithm learns to perform one task, such as recognizing cars, and builds on that knowledge when learning a different but related task, such as recognizing cats.
- Expert System
A form of AI that attempts to replicate a human's expertise in an area, such as medical diagnosis. It combines a knowledge base with a set of hand-coded rules for applying that knowledge. Machine-learning techniques are increasingly replacing hand coding.
- Generative Adversarial Network (gan)
A pair of jointly trained neural networks that generates realistic new data and improves through competition. One net creates new examples (fake Picassos, say) as the other tries to detect the fakes.
- Opacity
A description of some deep learning systems [that] take an input and provide an output, but the calculations that occur in between are not easy for humans to interpret.