Cognitive computing refers to technology platforms that, broadly speaking, are based on the scientific disciplines of artificial intelligence and signal processing. These platforms encompass machine learning, reasoning, natural language processing, speech recognition and vision (object recognition), human–computer interaction, dialog and narrative generation, among other technologies.
Quantum computing is an advanced field of computing that leverages the principles of quantum mechanics—such as superposition and entanglement—to process information in ways that classical computers cannot. Unlike classical bits, which represent data as either 0 or 1, quantum bits (qubits) can exist in multiple states simultaneously, enabling quantum computers to tackle complex problems more efficiently.
Edge computing is a distributed computing model that brings computation and data storage closer to the sources of data, such as Internet of Things (IoT) devices or local edge servers. This proximity to data at its source can deliver strong business benefits, including faster insights, improved response times, and better bandwidth availability.
A decision tree is a flowchart-like structure used for decision-making and data analysis, where each internal node represents a test on an attribute, each branch represents the outcome of the test, and each leaf node represents a class label or decision outcome.
A deepfake is a multimedia content, such as video or audio, created using artificial intelligence techniques, particularly deep learning, to manipulate or generate realistic images and sounds of people or events that never actually occurred. This technology allows for overlaying one person’s face or voice onto another, creating highly realistic but false representations.
An artificial neural network (ANN) is a computational model inspired by the structure and function of biological neural networks in the human brain. It consists of interconnected units called artificial neurons, organized into layers: an input layer, one or more hidden layers, and an output layer. ANNs are used in various fields of computing, such as image recognition, natural language processing, and time series forecasting.
(XAI) comprises processes and methods that enable human users to understand and trust the outcomes produced by machine learning algorithms. XAI elucidates an AI model, its anticipated impact, and potential biases, detailing aspects like accuracy, fairness, transparency, and outcomes in AI-driven decision-making.
Data mining is the process of analyzing large datasets to discover hidden patterns, correlations, and significant trends. By employing statistical techniques, machine learning algorithms, and database tools, data mining enables organizations to extract valuable insights from raw data, supporting informed business decisions and effective strategies.
The Internet of Things (IoT) refers to a network of physical objects—”things”—embedded with sensors, software, and other technologies that enable them to connect and exchange data with other devices and systems over the Internet. These devices range from ordinary household objects to sophisticated industrial tools.
A graphical user interface (GUI) is a type of interface that allows users to interact with electronic devices through visual elements such as icons, menus, and windows, rather than text-based commands. This approach makes interaction more intuitive and accessible, facilitating the use of computers and software applications.