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Artificial intelligence and Hierarchical temporal memory

Shortcuts: Differences, Similarities, Jaccard Similarity Coefficient, References.

Difference between Artificial intelligence and Hierarchical temporal memory

Artificial intelligence vs. Hierarchical temporal memory

Artificial intelligence (AI, also machine intelligence, MI) is intelligence demonstrated by machines, in contrast to the natural intelligence (NI) displayed by humans and other animals. Hierarchical temporal memory (HTM) is a technology based on a realistic biologically-constrained model of the pyramidal neuron that reflects today’s most recent neocortical research originally described in the 2004 book On Intelligence by Jeff Hawkins with Sandra Blakeslee.

Similarities between Artificial intelligence and Hierarchical temporal memory

Artificial intelligence and Hierarchical temporal memory have 12 things in common (in Unionpedia): Artificial consciousness, Artificial general intelligence, Artificial neural network, Bayesian network, Cognitive architecture, Convolutional neural network, Deep learning, Neocognitron, Neocortex, Neuroscience, On Intelligence, Semantics.

Artificial consciousness

Artificial consciousness (AC), also known as machine consciousness (MC) or synthetic consciousness, is a field related to artificial intelligence and cognitive robotics.

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Artificial general intelligence

Artificial general intelligence (AGI) is the intelligence of a machine that could successfully perform any intellectual task that a human being can.

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Artificial neural network

Artificial neural networks (ANNs) or connectionist systems are computing systems vaguely inspired by the biological neural networks that constitute animal brains.

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Bayesian network

A Bayesian network, Bayes network, belief network, Bayes(ian) model or probabilistic directed acyclic graphical model is a probabilistic graphical model (a type of statistical model) that represents a set of variables and their conditional dependencies via a directed acyclic graph (DAG).

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Cognitive architecture

A cognitive architecture can refer to a theory about the structure of the human mind.

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Convolutional neural network

In machine learning, a convolutional neural network (CNN, or ConvNet) is a class of deep, feed-forward artificial neural networks, most commonly applied to analyzing visual imagery.

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Deep learning

Deep learning (also known as deep structured learning or hierarchical learning) is part of a broader family of machine learning methods based on learning data representations, as opposed to task-specific algorithms.

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Neocognitron

The neocognitron is a hierarchical, multilayered artificial neural network proposed by Kunihiko Fukushima in the 1980s.

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Neocortex

The neocortex, also called the neopallium and isocortex, is the part of the mammalian brain involved in higher-order brain functions such as sensory perception, cognition, generation of motor commands, spatial reasoning and language.

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Neuroscience

Neuroscience (or neurobiology) is the scientific study of the nervous system.

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On Intelligence

On Intelligence: How a New Understanding of the Brain will Lead to the Creation of Truly Intelligent Machines is a 2004 book by Palm Pilot-inventor Jeff Hawkins with New York Times science writer Sandra Blakeslee.

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Semantics

Semantics (from σημαντικός sēmantikós, "significant") is the linguistic and philosophical study of meaning, in language, programming languages, formal logics, and semiotics.

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The list above answers the following questions

Artificial intelligence and Hierarchical temporal memory Comparison

Artificial intelligence has 543 relations, while Hierarchical temporal memory has 49. As they have in common 12, the Jaccard index is 2.03% = 12 / (543 + 49).

References

This article shows the relationship between Artificial intelligence and Hierarchical temporal memory. To access each article from which the information was extracted, please visit:

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