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generative adversarial network
generative adversarial network
class
deep learning method in which two neural networks compete with each other in a game, learning to gen
artificial intelligence in healthcare
artificial intelligence in healthcare
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use of complex algorithms and software to approximate human cognition in the analysis of complicated
robotaxi
robotaxi
class
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
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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
transformer
class
machine-learning model architecture first developed by Google Brain
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 tem
long short-term memory
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artificial recurrent neural network architecture used in deep learning
Hopfield network
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recurrent neural network
applications of artificial intelligence
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applications of machine intelligence
quantitative structure-activity relationship
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quantitative prediction of the biological, ecotoxicological or pharmaceutical activity of a molecule
neural machine translation
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approach to machine translation in which a large neural network is trained to maximize translation p
autoencoder
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neural network that learns efficient data encoding in an unsupervised manner
multilayer perceptron
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type of feedforward neural network with multiple fully connected layers
autonomous underwater vehicle
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untethered submersible manned or unmenned
statistical machine translation
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machine translation paradigm
friendly artificial intelligence
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hypothetical artificial general intelligence that would have a positive effect on humanity
automatic summarization
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computer-based method for shortening a text
evolutionary computation
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subfield of artificial intelligence
MICR
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character-recognition technology
symbolic artificial intelligence
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methods in artificial intelligence research that are based on high-level symbolic representations of
retrieval-augmented generation
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language generation model
self-supervised learning
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class of machine learning techniques in which a task is solved based on pseudo-labels which help ini
part-of-speech tagging
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process of identifying the grammatical type of words in a text
metaheuristic
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higher-level procedure designed to find, generate or select a heuristic
feedforward neural network
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artificial neural network in which connections between the nodes do not form a cycle
mobile translation
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a device common to works to offer an instant translation of any language. As a convention, it is use
text-to-video model
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machine learning model
ensemble learning
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in machine learning, the use of multiple algorithms to obtain better predictive performance than fro
boosting
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ensemble meta-algorithm for reducing bias and variance in machine learning
quantum machine learning
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Quantum Machine Learning combines quantum computing and ML to enhance algorithms, leveraging unique
feature learning
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a set of techniques that learn a feature: a transformation of raw data input to a representation tha
online machine learning
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a method where a model is trained incrementally on data as it becomes available, in contrast to batc
local search
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method for problem solving in optimization
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
computational intelligence
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ability of a computer to learn a specific task from data or experimental observation
weak artificial intelligence
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artificial intelligence that implements a limited part of mind, or, as narrow AI, is focused on one
artificial intelligence in Wikimedia projects
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artificial intelligence research and tools applied to Wikimedia projects
text segmentation
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process of dividing written text into meaningful units, such as words, sentences, or topics
autonomic computing
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a machine, a device, or software that can operate with minimal or no human control
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
class
concept of open applied to AI
multimodal learning
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machine learning combining different information resources, such as images and text
artificial immune system
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Class of rule-based machine learning systems
shallow parsing
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analysis of a sentence which first identifies constituent parts of sentences
extreme learning machine
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type of artificial neural network
residual neural network
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type of artificial neural network
automated machine learning
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process of automating the end-to-end process of machine learning
example-based machine translation
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method of machine translation
deep reinforcement learning
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techniques combining deep learning and reinforcement learning principles to create efficient machine
AI agent
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class of artificial intelligence
neuro-symbolic AI
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subfield of artificial intelligence
graph neural network
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specialized artificial neural networks that are designed for tasks whose inputs are graphs