AI Terminology
Artificial Narrow Intelligence • ANI
Artificial Narrow Intelligence (ANI) is a type of artificial intelligence that focuses on a single task.
Unsupervised Learning
Unsupervised learning is a type of machine learning where the algorithm is trained on a dataset that does not have any labeled outcomes.
Machine Translation
Machine translation is a subfield of computational linguistics that uses software to translate text or speech from one language to another.
Variational Autoencoder • VAE
A Variational Autoencoder (VAE) is a type of artificial neural network used in the field of machine learning for the purpose of generating new data.
Recurrent Neural Network • RNN
A recurrent neural network (RNN) is a type of neural network that is designed to handle sequences of data.
Machine Learning • ML
Machine learning is a subset of artificial intelligence (AI) that enables computers to learn from experience and improve over time.
Supervised Learning
Supervised learning is a type of machine learning algorithm that involves learning from a set of training data that has been labeled with the correct answers.
Reinforcement Learning • RL
Reinforcement learning is a subfield of machine learning, concerned with how software agents can learn to behave in complex, uncertain environments. It relies on feedback from the environment in order to improve the agent's behavior.
Human-Computer Interface • HCI
A human-computer interface is the point of contact between a human user and a computer system.
Abstraction
Abstraction is a widely used concept in artificial intelligence to manage the use of different levels of detail in a representation language or the ability to switch between levels while preserving important characteristics.
Note: The above list of AI terms is sorted by the last update time.
AI Terminology Graph (interactive)
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