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.

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 questions about the brain of a living organism, e.g. what qualifies as a brain? What is the purpose of a brain? How does the brain function?
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Use for objective evaluations and assessments of computing devices and components, including CPUs, GPUs, etc., based on architecture and performance statistics. Opinions may be suitable for comm…
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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 related to (automatic) text summarization, which is the task of producing a concise and fluent summary of a text or document while preserving key information content and the overall me…
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For questions related to the concept of importance sampling (which comes up, for example, in reinforcement learning).
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For questions related to features in the context of machine learning and, in general, AI.
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For questions about constraint satisfaction problems.
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a technique for improving the speed, performance, and stability of artificial neural networks. Batch normalization is used to normalize the input layer by adjusting and scaling …
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For questions about current affairs about various types of contributions/theories proposed by different groups/communities identifying themselves as AI researchers/practitioners/enthusiasts.
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encoded as a set of genes which evolve using evolutionary algorithm to solve a problem.
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For questions about processing signals of any physical quantity, with the help of Machine Learning or Artificially Intelligent algorithms.
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For questions related to DeepMind's AlphaGo, which is the first computer Go program to beat a human professional Go player without handicaps on a full-sized 19x19 board. AlphaGo was introduced in the …
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For questions related to the concept of dropout, which refers to the dropping out units in a neural network (NN), during the training of the NN, so that to avoid overfitting. The dropout method is a r…
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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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For questions involving topology in any form in relation to Artificial Intelligence.
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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 about sentiment analysis in AI.
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For questions related to the concept of meta-learning (or learning-to-learn).
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For questions related to the policy iteration (PI) algorithm, which is a dynamic programming algorithm that is used to solve a Markov decision process (MDP), given the transition model and reward func…
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For questions related to the concept of Partially Observable Markov Decision Process (POMDP), which is a generalization of the Markov Decision Process (MDP) to the cases where information about the st…
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For questions related to the "on-policy" reinforcement learning algorithms.
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For questions related to the concept of "planning" in AI.
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For questions related to the family of algorithms called "hill climbing" (in the context of AI).
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For questions related to online learning algorithms, that is, algorithms that learn while e.g. the associated agent interacts with an environment.
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For questions related to adversarial machine learning, which is a branch of machine learning focused on the study of adversarial examples, which are malicious inputs designed to fool machine learning …
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Use for question about the emergent "mythology of AI", from Talos in Greek mythology, to Skynet and the technological singularity.
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For questions regarding various parameters/methods of implementation/improvement/analyzing the safety of an Artificially Intelligent algorithm. A typical real world example is autonomous vehicles.
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For questions related to forecasting of any type beyond basic forms of extrapolation, as applicable in fields such as financial planning, portfolio management tooling, automated driving or piloting co…
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For questions about the security measures against malicious algorithms, and security measures provided by AI algorithms in detecting, mitigating and preventing breaches and malicious activity.
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For questions about the use/aspects/implementation/intuition/mathematical proofs of various Linear Algebra methods used in Machine Learning and AI algorithms.
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For questions about the legal aspects and ramifications due to the creation/use of AI in various fields and applications (also laws in place to regulate the proper use of AI technology).
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