AI
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generative adversarial network
class
deep learning method in which two neural networks compete with each other in a game, learning to generate new data with the same statistics as the training set
artificial intelligence in healthcare
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use of complex algorithms and software to approximate human cognition in the analysis of complicated medical data
robotaxi
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taxi vehicle in an autonomous car service
machine translation
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use of software for language translation
generative artificial intelligence
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artificial intelligence model capable of generating content in response to a prompt
autonomous car
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automobile capable of traveling without human input
expert system
class
computer system that emulates the decision-making ability of a human expert
text mining
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process of analysing text to extract information from it
evolutionary algorithm
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subset of evolutionary computation
recurrent neural network
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class of artificial neural network where connections between units form a directed graph along a temporal sequence
retrieval-augmented generation
class
techniques that enable large-scale language models to retrieve and incorporate new information from external data sources
Hopfield network
class
recurrent neural network
long short-term memory
class
artificial recurrent neural network architecture used in deep learning
applications of artificial intelligence
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applications of machine intelligence
neural machine translation
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approach to machine translation in which a large neural network is trained to maximize translation performance
quantitative structure-activity relationship
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quantitative prediction of the biological, ecotoxicological or pharmaceutical activity of a molecule
multilayer perceptron
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type of feedforward neural network with multiple fully connected layers
autoencoder
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neural network that learns efficient data encoding in an unsupervised manner
symbolic artificial intelligence
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methods in artificial intelligence research that are based on high-level symbolic representations of problems, logic and search, dominant from the 1950s until the 1980s
AI agent
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class of artificial intelligence
autonomous underwater vehicle
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untethered submersible manned or unmenned
statistical machine translation
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machine translation paradigm
automatic summarization
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computer-based method for shortening a text
friendly artificial intelligence
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hypothetical artificial general intelligence that would have a positive effect on humanity
MICR
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character-recognition technology
evolutionary computation
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subfield of artificial intelligence
metaheuristic
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higher-level procedure designed to find, generate or select a heuristic
self-supervised learning
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class of machine learning techniques in which a task is solved based on pseudo-labels which help initialize weights the weight, then the actual task is performed with supervised or unsupervised learning
part-of-speech tagging
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process of identifying the grammatical type of words in a text
mobile translation
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a device common to works to offer an instant translation of any language. As a convention, it is used to remove the problem of translating between alien languages
feedforward neural network
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artificial neural network in which connections between the nodes do not form a cycle
ensemble learning
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in machine learning, the use of multiple algorithms to obtain better predictive performance than from any of the constituent learning algorithms alone
text-to-video model
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machine learning model
quantum machine learning
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Quantum Machine Learning combines quantum computing and ML to enhance algorithms, leveraging unique quantum properties, like superposition and entanglement , for efficient problem-solving.
diffusion model
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deep learning algorithm
music and artificial intelligence
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use of artificial intelligence in the development of music and music genre
feature learning
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a set of techniques that learn a feature: a transformation of raw data input to a representation that can be effectively exploited in machine learning tasks
online machine learning
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a method where a model is trained incrementally on data as it becomes available, in contrast to batch learning where the entire dataset is used at once
local search
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method for problem solving in optimization
boosting
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ensemble meta-algorithm for reducing bias and variance in machine learning
weak artificial intelligence
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artificial intelligence that implements a limited part of mind, or, as narrow AI, is focused on one narrow task
computational intelligence
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ability of a computer to learn a specific task from data or experimental observation
artificial intelligence in Wikimedia projects
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artificial intelligence research and tools applied to Wikimedia projects
autonomic computing
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a machine, a device, or software that can operate with minimal or no human control
text segmentation
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process of dividing written text into meaningful units, such as words, sentences, or topics
variational auto-encoder
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deep learning generative model to encode data representation
federated learning
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method for artificial intelligence
restricted Boltzmann machine
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Boltzmann machine whose neurons form a bipartite graph with visible and hidden neurons
open-source artificial intelligence
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concept of open applied to AI
artificial immune system
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Class of rule-based machine learning systems
multimodal learning
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machine learning combining different information resources, such as images and text
residual neural network
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type of artificial neural network
shallow parsing
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analysis of a sentence which first identifies constituent parts of sentences
example-based machine translation
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method of machine translation
automated machine learning
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process of automating the end-to-end process of machine learning
extreme learning machine
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type of artificial neural network
vision transformer
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machine learning algorithm for vision processing
gated recurrent unit
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mechanisms in recurrent neural networks
quantum neural network
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computational neural network model based on the principles of quantum mechanics
neuro-symbolic AI
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subfield of artificial intelligence