Artificial intelligence and machine learning technologies
Posted: Thu Dec 05, 2024 9:40 am
Artificial intelligence (AI) is a complex of methods from mathematics, biology, psychology, cybernetics and other sciences, with the help of which technologies are created for writing "intelligent" programs and teaching computers to solve problems on their own. The main task of artificial intelligence is the simulation of the human mind.
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Types and technologies of artificial intelligence
Machine learning technologies
Types and technologies of artificial intelligence
Today, there are four main types of AI:
Reactive machines : AI systems that have no memory and solve only facebook phone number data tasks. They are unable to form memories and use previous experiences to perform their functions;
Limited memory : Systems with memory based on past experiences. However, this experience is not stored or compiled in the AI Information Library;
Theory of mind : systems that understand human emotions and intentions, have social intelligence, and participate in teamwork;
Self-awareness : AI systems of this type develop an idea of themselves, so they completely mimic human intelligence.
When creating AI, the most commonly used artificial intelligence technologies are:
Machine learning : Machine learning is the ability of a computer with an artificial intelligence system to make decisions based on the results of data processing, without adhering to clear patterns and rules. In other words, the machine becomes capable of searching for patterns in tasks that are difficult for humans with a large number of parameters, to detect accurate answers and make correct predictions;
Deep learning - a subsection of machine learning that allows you to detect patterns in large amounts of information (Big Data). Data processing in deep learning technology is carried out using artificial neural networks (ANN), created by analogy with biological neural networks. ANNs are designed to model and process non-linear relationships between input and output signals. ANNs use a self-learning algorithm that allows them to solve certain problems, taking into account previous experience and a minimum number of errors;
Procesamiento y generación de lenguaje natural : compilación de software para transformar cualquier dato en un lenguaje natural que una computadora entienda y use para responder a una persona.
Data Servers
La IA también utiliza tecnologías de visión por computadora (para encontrar, reconocer y clasificar objetos, extraer datos de imágenes, analizar la información recibida) y analizar datos para identificar patrones en ellos y predecir eventos en función de sus resultados.
Don't miss the article: 8 questions about artificial intelligence
Table of Contents [ Hide ]
Types and technologies of artificial intelligence
Machine learning technologies
Types and technologies of artificial intelligence
Today, there are four main types of AI:
Reactive machines : AI systems that have no memory and solve only facebook phone number data tasks. They are unable to form memories and use previous experiences to perform their functions;
Limited memory : Systems with memory based on past experiences. However, this experience is not stored or compiled in the AI Information Library;
Theory of mind : systems that understand human emotions and intentions, have social intelligence, and participate in teamwork;
Self-awareness : AI systems of this type develop an idea of themselves, so they completely mimic human intelligence.
When creating AI, the most commonly used artificial intelligence technologies are:
Machine learning : Machine learning is the ability of a computer with an artificial intelligence system to make decisions based on the results of data processing, without adhering to clear patterns and rules. In other words, the machine becomes capable of searching for patterns in tasks that are difficult for humans with a large number of parameters, to detect accurate answers and make correct predictions;
Deep learning - a subsection of machine learning that allows you to detect patterns in large amounts of information (Big Data). Data processing in deep learning technology is carried out using artificial neural networks (ANN), created by analogy with biological neural networks. ANNs are designed to model and process non-linear relationships between input and output signals. ANNs use a self-learning algorithm that allows them to solve certain problems, taking into account previous experience and a minimum number of errors;
Procesamiento y generación de lenguaje natural : compilación de software para transformar cualquier dato en un lenguaje natural que una computadora entienda y use para responder a una persona.
Data Servers
La IA también utiliza tecnologías de visión por computadora (para encontrar, reconocer y clasificar objetos, extraer datos de imágenes, analizar la información recibida) y analizar datos para identificar patrones en ellos y predecir eventos en función de sus resultados.