Tags

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.

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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…
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For questions related to geometric deep learning, which is the application of deep learning techniques to non-Euclidean data (e.g. graphs and manifolds).
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For questions involving topology in any form in relation to Artificial Intelligence.
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For questions about all aspects of a biological or artificial neuron.
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For questions about use and applications of cognitive science in the field of AI and vice versa.
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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).
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The study of living organisms, divided into many specialized fields that cover their morphology, physiology, anatomy, behaviour, origin, and distribution.
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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.
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For questions related to time series analysis or forecasting in the context of AI and, in particular, ML.
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For question about Multi Layer Perceptron model/architecture, its training and other related details and parameters associated with the model.
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For questions related to image segmentation (in computer vision and related AI fields).
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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…
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For questions related to the convergence of AI algorithms.
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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 "…
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For questions related to the use of the MATLAB language or framework for AI work or study.
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For various clarifications/proofs behind an Artificially Intelligent agent's reasoning process using Decision Theory.
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For questions about the concept of technological singularity.
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For question involving decision trees in any form of AI.
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Use for questions related to graph coloring and graph coloring games.
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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.
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For questions related to the book "Reinforcement Learning: An Introduction" (by Andrew Barto and Richard S. Sutton).
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For questions related to policies (as defined in reinforcement learning or other AI sub-fields).
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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.)
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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…
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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…
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For question about methods of evaluating the performance of an algorithm.
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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…
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For questions about the perceptron learning algorithm in Machine Learning.
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For questions related to the academic aspects of AI, and the academic fields involving AI.
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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 …
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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…
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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, …
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For questions related to the concept of data pre-processing, which includes, for example, cleaning, instance selection, normalization, transformation, feature extraction or selection.
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For questions related to the reinforcement learning algorithm called proximal policy optimization (PPO), which was introduced in the paper "Proximal Policy Optimization Algorithms" (2017) by John Schu…