33 Types Of Artificial Intelligence
John Spacey, updated on May 19, 2023
Artificial intelligence, or AI, is technology that is designed to learn and self-improve. This is typically used to solve complex problems that are impossible to tackle with traditional code. In some cases, artificial intelligence research and development programs aim to replicate aspects of human intelligence or alternate types of intelligence that may exceed human abilities in certain respects. The following are common types of artificial intelligence.
Activity RecognitionDetermining what humans or other entities such as robots are doing. For example, a car that can see its owner approaching with a heavy bag of groceries may decide to open an appropriate door automatically.
Affective ComputingAI that seeks to read and use emotion.
Artificial CreativityAI applications in fields that are viewed as creative such as music, art and design. Also applies to human-like abilities such as including humor in a conversation.
Artificial Immune SystemTechniques of machine learning that mimic processes of immune system learning and memory.
Artificial LifeArtificial intelligence, science and engineering modeled upon living systems.
Artificial StupidityThe ability for an artificial intelligence to perform suboptimally in certain contexts. For example, a game bot may adapt its intelligence to the skill of the other players in a game.
AutomationAutomation of decisions or physical tasks using machinery such as robots.
BlockheadA program that simulates intelligence by retrieving information from a data repository. In some cases, products claim to be artificially intelligent as a marketing approach when their software has a tradition design that doesn't learn in a dynamic way.
BotA robot that takes no physical form.
ChatterbotAn artificial intelligence that can talk to humans, often over text chat. Typically designed to pass a Turing test.
Committee MachineA committee machine is a neural network that combines results or learning from other neural networks. It is an approach to scaling AI.
Computer Automated DesignMost computing is currently focused on automation and calculation. Artificial intelligence may support expansion of this role into areas that are thought to require creativity such as design and architecture.
Computer VisionAnalyzing and understanding visual information is a reasonably complex task that typically requires artificial intelligence.
Decision Support SystemThe use of artificial intelligence to support human decision making. For example, a tool that determines what information you may need in a given situation.
Embodied AgentAn artificial intelligence that has a body either physical or simulated.
Ensemble LearningA machine learning technique that uses multiple learning algorithms.
Evolutionary AlgorithmsA class of algorithms inspired by processes of biological evolution such as reproduction, mutation, recombination and selection.
Friendly Artificial IntelligenceThe study of techniques to make AI safe and useful. It is commonly argued that artificial intelligence represents an existential risk.
Intelligence AmplificationAI tools that are designed to augment human intelligence. For example, a tool might identify options for problem solving.
Machine LearningAlgorithms that learn from data are a fundamental difference between AI and traditional software.
Natural Language ProcessingThe ability to recognize, interpret and synthesize speech.
Neural NetworkArtificial neural networks are an AI approach that were originally inspired by biological neural networks. With time their resemblance to biology has decreased and they are now typically based on statistics and signal processing techniques.
Neuro FuzzyA neural network designed to think in fuzzy logic.
Recursive Self-ImprovementSoftware that writes its own code in cycles of self-improvement. Considered somewhat risky.
Self Replicating SystemsSoftware easily self replicates with operations such as file copy. It is also possible for robots to self-replicate. This has practical applications such as space exploration.
Sentiment AnalysisTools that determine the general opinion, emotion or attitude in content such as a comment in social media.
Strong Artificial IntelligenceResearch into human-like artificial intelligence.
SuperhumanAn ability where machines surpass the greatest human achievements. For example, AI can generally beat humans at chess.
SuperintelligenceA theoretical AI that surpasses human intelligence in a comprehensive way.
Swarm IntelligenceLarge numbers of small self-organizing units that act locally to generate collective intelligence.
Symbolic Artificial IntelligenceAn old fashioned approach to AI that restricts computation to a set of symbols that resemble a language of logic.
Technological SingularityA hypothetical scenario whereby artificial intelligence rapidly improves by many orders of magnitude using techniques such as recursive self-improvement. Generally thought to result in a superintelligence that humans can't understand or control.
Weak Artificial IntelligencePractical applications of artificial intelligence that typically focus on solving a problem with software that can learn from real world data.
Artificial IntelligenceThis is the complete list of articles we have written about artificial intelligence.
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