Featured articles

Find more topics of your interest

Learn more about NNC and our team

Learn ia

Dictionary of Artificial Intelligence

Explore the fascinating world of artificial intelligence with our comprehensive dictionary. Discover key terms and their meanings in this exciting field of technology.

100+
Software with AI
Algorithm

An ordered set of systematic operations that allows a calculation to be performed and problems to be solved.

Machine Learning

A subfield of artificial intelligence that allows machines to learn from data and improve their performance on specific tasks without being explicitly programmed.

Supervised Learning

Machine learning method that trains models on a data set that includes both inputs and expected outputs.

Unsupervised Learning

Machine learning method that identifies patterns in unlabeled data, without the need for a training data set with correct answers.

Deep Learning

Machine learning technique based on artificial neural networks with multiple layers, which allows the machine to improve tasks such as image and voice recognition.

Neural Network

Computational model designed to simulate the way the human brain analyzes and interprets information.

RConvolutional Neural Networking (CNN)

A type of artificial neural network that is particularly effective for processing data with a grid structure, such as images.

Recurrent Neural Network (RNN)

Neural networks that include loops to enable persistence of information, useful in processing natural language and other data streams.

Natural Language Processing (NLP)

A branch of artificial intelligence that focuses on the interaction between computers and humans through natural language.

Ranking

A machine learning task that involves predicting the category or class of a piece of data based on its characteristics.

Regression

Machine learning task where the objective is to predict a continuous quantity from previous data.

Model

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.

Training

The process of teaching an AI model to perform tasks or make decisions based on data.

TensorFlow

Open source software library for numerical computation that facilitates the construction of machine learning models.

PyTorch

Open source machine learning library based on the Torch library, used for applications such as computer vision and natural language processing.

Overfitting

Situation in which a machine learning model fits too closely to the training data and loses the ability to generalize to new data.

Underfitting

It occurs when a machine learning model is too simple to capture the underlying structure of the data.

Cross Validation:

Technique to evaluate the generalization capacity of a statistical model, dividing the data into subsets to train and test the model.

Big Data

A term that describes large volumes of data, both structured and unstructured, that flood businesses on a daily basis.

Structured Data

Information organized and coded so that it is easily searchable and organized in databases.

Unstructured Data

Information that is not organized in a predictable way, including text, images, and sounds.

Artificial General Intelligence (AGI

Ability of a machine to understand, learn, and apply intelligence to any problem, similar to human intelligence.

Machine Learning Operational (MLOps)

Practice of collaboration and communication between data and operations experts to help manage the production of machine learning models.

Robotics

Field of engineering and science that includes the design, construction, operation and use of robots.

Sensors

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.

Recommendation System

A type of information system that provides suggestions of items that might be of interest to the user.

Computer Vision

A field of artificial intelligence that trains computers to interpret and understand the human visual world.

Chatbot

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.

Reinforcement Learning

Machine learning area focused on how agents should make decisions to maximize some notion of cumulative reward.

Intelligent Agents

Systems that perceive their environment and make decisions to maximize their chances of success.

Blockchain

Distributed registration technology that ensures transparency and security in digital transactions.

Quantum Computing

Technology based on the principles of quantum mechanics, which allows calculations to be performed at exponentially faster speeds than traditional computers.

Ethics in AI

Discussion and application of moral and ethical considerations in the development and implementation of artificial intelligence technologies.

Internet of Things (IoT)

A network of physical objects containing sensors, software and other technologies to connect and exchange data with other devices and systems over the Internet.

Data Mining

The process of examining large databases to generate new knowledge and discover hidden patterns.

Cloud Computing

Delivery of computer services, such as storage, processing and databases, over the Internet.

Open Source

Software whose source code is available for modification or enhancement by anyone.

Augmented Reality (AR)

Technology that overlays digital information on the real world, augmenting physical elements with digital data.

Virtual Reality (VR)

Technology that creates a simulated environment with which the user can interact, fully immersing him/herself in a digital experience.

Cyber Security

Practices designed to protect networks, devices and data from attacks or unauthorized access.

Semantics

The study of meaning in language, which in AI is applied to the understanding and generation of natural language by machines.

Time Series

A sequence of data points measured at successive time intervals, used in predictive analytics.

Simulation

Use of models to recreate and analyze the behavior of complex systems in a virtual environment.

Transfer of Learning

Machine learning technique where a model developed for one task is reused as a starting point for another task.

Autonomous Vehicle

Vehicle capable of sensing its environment and navigating without human intervention.

Yottabyte

A unit of data measurement equivalent to 10^24 bytes, reflecting the increasing amount of data generated and stored.

XAI (IA Explainability)

A field of AI research that focuses on making the results and behaviors of machine learning models understandable to humans.

Zettabyte

Unit of measurement equal to 10^21 bytes, also used to describe massive volumes of data.

Predictive Analytics

Use of data, statistical algorithms and machine learning techniques to identify the probability of future outcomes based on historical data.

en_US