A tag is a keyword or label that categorizes your question with other, similar questions. Using the right tags makes it easier for others to find and answer your question.
For questions related to DeepMind's AlphaZero, which is a computer program that can play Go, Chess, and Shogi. AlphaZero achieved, within 24 hours of training, a superhuman level of play in these thre…
For questions related to geometric deep learning, which is the application of deep learning techniques to non-Euclidean data (e.g. graphs and manifolds).
For questions involving topology in any form in relation to Artificial Intelligence.
For questions about use and applications of cognitive science in the field of AI and vice versa.
For questions about the AI/ML algorithms for performing the task of voice recognition in any animal (falls under the broad category of sound recognition, not to be confused with speech recognition).
The study of living organisms, divided into many specialized fields that cover their morphology, physiology, anatomy, behaviour, origin, and distribution.
For questions about the Turing Test, a test designed to see whether a third-party person can identify, from a written transcript, who was the AI and who was the human is an human/AI conversation.
For questions related to time series analysis or forecasting in the context of AI and, in particular, ML.
For question about Multi Layer Perceptron model/architecture, its training and other related details and parameters associated with the model.
For questions related to image segmentation (in computer vision and related AI fields).
For questions related to the concept of function approximation. For example, questions that involve the use of a neural network (which is a function approximator) in the context of RL in order to appr…
For questions related to symbolic artificial intelligence, which is also known as good old-fashioned artificial intelligence (GOFAI), which is an expression coined by John Haugeland in his 1985 book "…
For questions related to the use of the MATLAB language or framework for AI work or study.
For various clarifications/proofs behind an Artificially Intelligent agent's reasoning process using Decision Theory.
Use for broad questions on the concepts used in AI and implementations. Breakdowns of subfields, methods, and sets of methods, with an emphasis on context and utility.
For questions related to the book "Reinforcement Learning: An Introduction" (by Andrew Barto and Richard S. Sutton).
For questions related to policies (as defined in reinforcement learning or other AI sub-fields).
For questions related to the Monte Carlo methods in reinforcement learning and other AI sub-fields. ("Monte Carlo" refers to random sampling of the search space.)
broad or general by design. Suitable for questions on concepts, methods, and families of same. Also use for non-humanities questions that are relevant, but can't be object…
Use for questions related to automation. (All automation may be said to be a function of applied intelligence--or algorithms.) Suitable for questions on industrial automation, autonomous vehicles, a…
For question about methods of evaluating the performance of an algorithm.
a physical device capable of independent movement. Use this tag for questions involving the relationship of AI with robots. If you have questions about the physical aspect of robots, you sh…
For questions about the perceptron learning algorithm in Machine Learning.
For questions related to the academic aspects of AI, and the academic fields involving AI.
Use for questions about resources helpful in AI endeavors. This can include training data. (May also be used in conjunction with "software-evaluation" if the request involves software as opposed to …
For questions related to the concept of feature selection (also known as variable selection or attribute selection), which is the process of selecting a subset of relevant features (a.k.a. variables o…
For questions related to AI theory that relies on the knowledge of a distribution of probabilities across one or more dimensions affecting probability. Such a distribution may be in discrete buckets, …
For questions related to the concept of data pre-processing, which includes, for example, cleaning, instance selection, normalization, transformation, feature extraction or selection.