AI on English AI Terms Dictionary

Software agent

Sat, 18 Jul 2026 10:15:49 +0000

Definition

A software agent is an autonomous entity capable of perceiving its environment, reasoning, and acting to achieve specific goals. These agents can operate independently, adapt to changes, and collaborate with other agents or humans. They are fundamental in distributed systems, automating repetitive tasks, managing resources, and providing intelligent interfaces. Key characteristics include reactivity, proactiveness, and social ability, making them essential for complex automation and AI-driven applications.

Summary

A computer program that performs tasks on behalf of users or other programs with a degree of autonomy.

Machine learning control

Sat, 18 Jul 2026 10:06:11 +0000

Definition

Machine learning control integrates adaptive algorithms with traditional control systems to handle non-linear or uncertain environments. Unlike static controllers, these systems learn from operational data to adjust their parameters dynamically, improving efficiency and stability. This technique is particularly valuable in robotics, autonomous vehicles, and industrial automation, where conditions change rapidly and require continuous optimization without manual recalibration.

Summary

A control theory approach where machine learning algorithms adaptively manage system dynamics to optimize performance in real-time.

Intelligent decision support system

Sat, 18 Jul 2026 10:03:27 +0000

Definition

An Intelligent Decision Support System (IDSS) integrates artificial intelligence techniques, such as machine learning and natural language processing, with traditional decision support frameworks. It processes large volumes of structured and unstructured data to identify patterns, predict outcomes, and recommend optimal courses of action. Unlike standard DSS, IDSS can adapt to new information and learn from past decisions, thereby enhancing the accuracy and efficiency of human judgment in strategic, tactical, and operational contexts.

Intelligent control

Sat, 18 Jul 2026 10:02:57 +0000

Definition

Intelligent control employs artificial intelligence methods such as fuzzy logic, neural networks, and genetic algorithms to regulate systems where traditional mathematical modeling is insufficient or too complex. These controllers can learn from operational data, adapt to changing parameters, and optimize performance in real-time, providing robust solutions for applications like robotics, industrial manufacturing, and autonomous vehicle navigation.

Summary

Control systems that utilize AI techniques to manage complex, nonlinear, or uncertain dynamic processes.

Intelligent database

Sat, 18 Jul 2026 10:02:57 +0000

Definition

An intelligent database leverages machine learning and AI to enhance standard database functionalities beyond simple storage and retrieval. It can automatically optimize query performance, predict usage patterns, detect anomalies, and even generate natural language summaries of data trends. This reduces the administrative burden on DBAs and enables users to extract actionable insights without deep technical expertise.

Summary

A database system that incorporates AI capabilities to automate data management, query optimization, and insights generation.

Google Research

Sat, 18 Jul 2026 10:00:02 +0000

Definition

Google Research is the academic and industrial research arm of Google LLC, focusing on pushing the boundaries of technology in areas such as artificial intelligence, natural language processing, and quantum computing. It produces influential open-source models like BERT and TPU architectures, publishes extensive scientific papers, and collaborates with universities. The division aims to solve complex global challenges while ensuring ethical deployment of emerging technologies.

Summary

The research division of Google dedicated to advancing artificial intelligence, machine learning, and computer science through fundamental and applied studies.

Generative AI

Sat, 18 Jul 2026 09:59:20 +0000

Definition

These systems, including large language models and diffusion models, do not merely retrieve existing information but synthesize novel outputs. They learn the underlying structure and style of their training datasets to generate realistic and coherent responses. Generative AI has transformed creative industries, software development, and customer service by automating content creation and enabling human-AI collaboration in generative tasks.

Summary

Generative AI is a type of artificial intelligence capable of creating new content, such as text, images, audio, and code, based on patterns learned from training data.

Artificial intelligence of things

Sat, 18 Jul 2026 09:46:35 +0000

Definition

Artificial Intelligence of Things (AIoT) represents the synergistic integration of Artificial Intelligence and Internet of Things technologies. By embedding AI algorithms directly into IoT devices or edge nodes, AIoT allows for real-time data processing, enhanced decision-making, and reduced latency compared to cloud-only architectures. This combination transforms passive sensors into intelligent agents capable of learning from their environment, optimizing operations, and executing complex tasks autonomously without constant human intervention or heavy reliance on central servers.

Natural Language Processing

Sat, 18 Jul 2026 09:35:02 +0000

Definition

Natural Language Processing (NLP) is a subfield of artificial intelligence that combines computational linguistics with statistical, machine learning, and deep learning models. It enables machines to read, decipher, understand, and make sense of human languages in a manner that is valuable. NLP bridges the gap between human communication and computer understanding, allowing systems to perform tasks such as translation, sentiment analysis, and text summarization by processing large volumes of structured and unstructured text data.

Neural Network

Sat, 18 Jul 2026 09:35:02 +0000

Definition

A neural network is a series of algorithms that endeavors to recognize underlying relationships in a set of data through a process that mimics the way the human brain operates. It is composed of layers of interconnected nodes (neurons), including an input layer, one or more hidden layers, and an output layer. Each connection has a weight that adjusts as learning occurs, allowing the network to optimize predictions and classifications by minimizing error during training phases using backpropagation.

Machine Learning

Sat, 18 Jul 2026 09:33:48 +0000

Definition

Machine Learning (ML) enables computers to learn patterns from historical data and make decisions or predictions on new, unseen data. It encompasses various techniques including supervised learning, unsupervised learning, and reinforcement learning. By adjusting internal parameters based on experience, ML models can automate complex tasks such as spam detection, recommendation systems, and autonomous driving, forming the backbone of modern AI advancements.

Summary

A subset of AI focused on building systems that learn from data to improve performance without explicit programming.