{"id":2031,"date":"2024-03-07T00:31:18","date_gmt":"2024-03-07T00:31:18","guid":{"rendered":"https:\/\/inteligenciaartificialai.com\/?page_id=2031"},"modified":"2024-03-07T01:14:37","modified_gmt":"2024-03-07T01:14:37","slug":"dictionary-of-artificial-intelligence","status":"publish","type":"page","link":"https:\/\/inteligenciaartificialai.com\/en\/dictionary-of-artificial-intelligence\/","title":{"rendered":"Dictionary of Artificial Intelligence"},"content":{"rendered":"
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Learn ia<\/div>\n\n\n\n

Dictionary of Artificial Intelligence<\/h2>\n\n\n\n

Explore the fascinating world of artificial intelligence with our comprehensive dictionary. Discover key terms and their meanings in this exciting field of technology.<\/p>\n<\/div>\n\n\n\n

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APPLICATIONS <\/span><\/span><\/span><\/a><\/div>\n\n\n\n
BLOG<\/span><\/span><\/span><\/a><\/div>\n<\/div>\n\n\n\n
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100+<\/div>\n\n\n\n
Software with AI<\/div>\n<\/div>\n<\/div>\n<\/div>\n <\/div><\/div>\n<\/div>\n\n\n\n
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Algorithm<\/strong><\/div><\/div>
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An ordered set of systematic operations that allows a calculation to be performed and problems to be solved.<\/p>\n<\/div><\/div><\/div>\n\n\n\n

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Machine Learning<\/strong><\/div><\/div>
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A subfield of artificial intelligence that allows machines to learn from data and improve their performance on specific tasks without being explicitly programmed.<\/p>\n<\/div><\/div><\/div>\n\n\n\n

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Supervised Learning<\/strong><\/div><\/div>
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Machine learning method that trains models on a data set that includes both inputs and expected outputs.<\/p>\n<\/div><\/div><\/div>\n\n\n\n

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Unsupervised Learning<\/strong><\/div><\/div>
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Machine learning method that identifies patterns in unlabeled data, without the need for a training data set with correct answers.<\/p>\n<\/div><\/div><\/div>\n\n\n\n

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Deep Learning<\/strong><\/div><\/div>
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Machine learning technique based on artificial neural networks with multiple layers, which allows the machine to improve tasks such as image and voice recognition.<\/p>\n<\/div><\/div><\/div>\n\n\n\n

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Neural Network<\/strong><\/div><\/div>
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Computational model designed to simulate the way the human brain analyzes and interprets information.<\/p>\n<\/div><\/div><\/div>\n\n\n\n

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RConvolutional Neural Networking (CNN)<\/strong><\/div><\/div>
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A type of artificial neural network that is particularly effective for processing data with a grid structure, such as images.<\/p>\n<\/div><\/div><\/div>\n\n\n\n

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Recurrent Neural Network (RNN)<\/strong><\/div><\/div>
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Neural networks that include loops to enable persistence of information, useful in processing natural language and other data streams.<\/p>\n<\/div><\/div><\/div>\n\n\n\n

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Natural Language Processing (NLP)<\/strong><\/div><\/div>
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A branch of artificial intelligence that focuses on the interaction between computers and humans through natural language.<\/p>\n<\/div><\/div><\/div>\n\n\n\n

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Ranking<\/strong><\/div><\/div>
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A machine learning task that involves predicting the category or class of a piece of data based on its characteristics.<\/p>\n<\/div><\/div><\/div>\n\n\n\n

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Regression<\/strong><\/div><\/div>
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Machine learning task where the objective is to predict a continuous quantity from previous data.<\/p>\n<\/div><\/div><\/div>\n\n\n\n

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Model<\/strong><\/div><\/div>
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In AI, it represents a mathematical structure based on data that allows predictions or decisions to be made without being explicitly programmed to do so.<\/p>\n<\/div><\/div><\/div>\n\n\n\n

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Training<\/strong><\/div><\/div>
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The process of teaching an AI model to perform tasks or make decisions based on data.<\/p>\n<\/div><\/div><\/div>\n\n\n\n

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TensorFlow<\/strong><\/div><\/div>
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Open source software library for numerical computation that facilitates the construction of machine learning models.<\/p>\n<\/div><\/div><\/div>\n\n\n\n

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PyTorch<\/strong><\/div><\/div>
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Open source machine learning library based on the Torch library, used for applications such as computer vision and natural language processing.<\/p>\n<\/div><\/div><\/div>\n\n\n\n

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Overfitting<\/strong><\/div><\/div>
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Situation in which a machine learning model fits too closely to the training data and loses the ability to generalize to new data.<\/p>\n<\/div><\/div><\/div>\n\n\n\n

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Underfitting<\/strong><\/div><\/div>
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It occurs when a machine learning model is too simple to capture the underlying structure of the data.<\/p>\n<\/div><\/div><\/div>\n\n\n\n

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Cross Validation:<\/strong><\/div><\/div>
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Technique to evaluate the generalization capacity of a statistical model, dividing the data into subsets to train and test the model.<\/p>\n<\/div><\/div><\/div>\n\n\n\n

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Big Data<\/strong><\/div><\/div>
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A term that describes large volumes of data, both structured and unstructured, that flood businesses on a daily basis.<\/p>\n<\/div><\/div><\/div>\n\n\n\n

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Structured Data<\/strong><\/div><\/div>
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Information organized and coded so that it is easily searchable and organized in databases.<\/p>\n<\/div><\/div><\/div>\n\n\n\n

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Unstructured Data<\/strong><\/div><\/div>
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Information that is not organized in a predictable way, including text, images, and sounds.<\/p>\n<\/div><\/div><\/div>\n\n\n\n

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Artificial General Intelligence (AGI<\/strong><\/div><\/div>
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Ability of a machine to understand, learn, and apply intelligence to any problem, similar to human intelligence.<\/p>\n<\/div><\/div><\/div>\n\n\n\n

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Machine Learning Operational (MLOps)<\/strong><\/div><\/div>
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Practice of collaboration and communication between data and operations experts to help manage the production of machine learning models.<\/p>\n<\/div><\/div><\/div>\n\n\n\n

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Robotics<\/strong><\/div><\/div>
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Field of engineering and science that includes the design, construction, operation and use of robots.<\/p>\n<\/div><\/div><\/div>\n\n\n\n

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Sensors<\/div><\/div>
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Devices that detect or measure a physical input from the real world and convert it into data that can be interpreted by a computer or device.<\/p>\n<\/div><\/div><\/div>\n\n\n\n

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Recommendation System<\/div><\/div>
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A type of information system that provides suggestions of items that might be of interest to the user.<\/p>\n<\/div><\/div><\/div>\n\n\n\n

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Computer Vision<\/div><\/div>
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A field of artificial intelligence that trains computers to interpret and understand the human visual world.<\/p>\n<\/div><\/div><\/div>\n\n\n\n

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Chatbot<\/div><\/div>
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A computer program that simulates and processes human conversations, allowing users to interact with digital devices as if they were communicating with a real person.<\/p>\n<\/div><\/div><\/div>\n\n\n\n

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Reinforcement Learning<\/div><\/div>
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Machine learning area focused on how agents should make decisions to maximize some notion of cumulative reward.<\/p>\n<\/div><\/div><\/div>\n\n\n\n

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Intelligent Agents<\/div><\/div>
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Systems that perceive their environment and make decisions to maximize their chances of success.<\/p>\n<\/div><\/div><\/div>\n\n\n\n

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Blockchain<\/div><\/div>
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Distributed registration technology that ensures transparency and security in digital transactions.<\/p>\n<\/div><\/div><\/div>\n\n\n\n

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Quantum Computing<\/div><\/div>
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Technology based on the principles of quantum mechanics, which allows calculations to be performed at exponentially faster speeds than traditional computers.<\/p>\n<\/div><\/div><\/div>\n\n\n\n

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Ethics in AI<\/div><\/div>
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Discussion and application of moral and ethical considerations in the development and implementation of artificial intelligence technologies.<\/p>\n<\/div><\/div><\/div>\n\n\n\n

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Internet of Things (IoT)<\/div><\/div>
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A network of physical objects containing sensors, software and other technologies to connect and exchange data with other devices and systems over the Internet.<\/p>\n<\/div><\/div><\/div>\n\n\n\n

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Data Mining<\/div><\/div>
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The process of examining large databases to generate new knowledge and discover hidden patterns.<\/p>\n<\/div><\/div><\/div>\n\n\n\n

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Cloud Computing<\/div><\/div>
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Delivery of computer services, such as storage, processing and databases, over the Internet.<\/p>\n<\/div><\/div><\/div>\n\n\n\n

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Open Source<\/div><\/div>
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Software whose source code is available for modification or enhancement by anyone.<\/p>\n<\/div><\/div><\/div>\n\n\n\n

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Augmented Reality (AR)<\/div><\/div>
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Technology that overlays digital information on the real world, augmenting physical elements with digital data.<\/p>\n<\/div><\/div><\/div>\n\n\n\n

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Virtual Reality (VR)<\/div><\/div>
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Technology that creates a simulated environment with which the user can interact, fully immersing him\/herself in a digital experience.<\/p>\n<\/div><\/div><\/div>\n\n\n\n

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Cyber Security<\/div><\/div>
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Practices designed to protect networks, devices and data from attacks or unauthorized access.<\/p>\n<\/div><\/div><\/div>\n\n\n\n

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Semantics<\/div><\/div>
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The study of meaning in language, which in AI is applied to the understanding and generation of natural language by machines.<\/p>\n<\/div><\/div><\/div>\n\n\n\n

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Time Series<\/div><\/div>
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A sequence of data points measured at successive time intervals, used in predictive analytics.<\/p>\n<\/div><\/div><\/div>\n\n\n\n

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Simulation<\/div><\/div>
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Use of models to recreate and analyze the behavior of complex systems in a virtual environment.<\/p>\n<\/div><\/div><\/div>\n\n\n\n

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Transfer of Learning<\/div><\/div>
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Machine learning technique where a model developed for one task is reused as a starting point for another task.<\/p>\n<\/div><\/div><\/div>\n\n\n\n

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Autonomous Vehicle<\/div><\/div>
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Vehicle capable of sensing its environment and navigating without human intervention.<\/p>\n<\/div><\/div><\/div>\n\n\n\n

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Yottabyte<\/div><\/div>
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A unit of data measurement equivalent to 10^24 bytes, reflecting the increasing amount of data generated and stored.<\/p>\n<\/div><\/div><\/div>\n\n\n\n

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XAI (IA Explainability)<\/div><\/div>
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A field of AI research that focuses on making the results and behaviors of machine learning models understandable to humans.<\/p>\n<\/div><\/div><\/div>\n\n\n\n

<\/path><\/svg><\/div>
Zettabyte<\/div><\/div>
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Unit of measurement equal to 10^21 bytes, also used to describe massive volumes of data.<\/p>\n<\/div><\/div><\/div>\n\n\n\n

<\/path><\/svg><\/div>
Predictive Analytics<\/div><\/div>
\n

Use of data, statistical algorithms and machine learning techniques to identify the probability of future outcomes based on historical data.<\/p>\n<\/div><\/div><\/div>","protected":false},"excerpt":{"rendered":"","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_gspb_post_css":".gs-titlebox{background:#fff;line-height:24px;font-size:90%;box-shadow:0 10px 10px #00000007;margin-bottom:25px}.gs-titlebox-text>p{margin-bottom:20px!important;margin-top:0}.gs-titlebox-text>p:last-of-type{margin-bottom:0!important}.gs-titlebox .gs-title-inbox svg{width:25px;margin-right:10px}#gspb_titleBox-id-gsbp-39b6e40 .gs-titlebox{border-radius:10px}#gspb_titleBox-id-gsbp-39b6e40 .gs-title-inbox{border-radius:10px 10px 0 0}#gspb_titleBox-id-gsbp-39b6e40 .gs-title-inbox 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