AI Terms 02.07.2026 Annotation The process of labeling or marking data sets. In data sets used for training AI models, adding relevant labels or markers to the data can improve the accuracy of the model and help it achieve better results. View
AI Terms 02.07.2026 Anomaly Detection Anomaly detection is the process of identifying data points, events or observations that show significant deviations from normal data patterns. This method is used to detect unexpected changes or rare situations and can be applied in many f... View
AI Terms 02.07.2026 Architecture It refers to the structural design and components of artificial intelligence models. Architecture describes the layers, neurons and connections of a model. View
AI Terms 02.07.2026 Artificial General Intelligence Artificial General Intelligence (AGI) are artificial intelligence systems that can mimic the wide-ranging cognitive capabilities of human intelligence and perform any human intelligence task. These systems can perform various mental functio... View
AI Terms 02.07.2026 Artificial Intelligence Artificial intelligence is the ability of a computer or computer-controlled robot to perform tasks usually associated with intelligent beings. View
AI Terms 02.07.2026 Artificial Neural Network An artificial neural network is an artificial intelligence model consisting of interconnected nodes (artificial neurons) that model the information processing ability of the human brain. These networks have the capacity to solve complex pro... View
AI Terms 02.07.2026 Augmented Reality Augmented reality is the technology of layering digital information or objects on top of a real-world environment. This allows users to experience the real world with computer-generated images, text or animations overlaid on top. View
AI Terms 02.07.2026 Big Data Big data refers to datasets generated at a size, variety and velocity that traditional data processing tools cannot handle. Its analysis can offer new insights, decision-making and strategic directions. View
AI Terms 02.07.2026 Chatbot A chatbot is a software application that can interact with humans through natural language, either written or spoken. Using artificial intelligence, natural language processing and sometimes machine learning techniques, it responds to user ... View
AI Terms 02.07.2026 Cloud Computing Cloud computing is a technology that provides on-demand access to computing resources (e.g. servers, storage, applications and services) over the internet. Users can access and use these resources from anywhere, regardless of their device. View
AI Terms 02.07.2026 Clustering It is a machine learning technique used to group data points with similar characteristics. It is used to understand the data set, segment it and discover patterns. View
AI Terms 02.07.2026 Cognitive Computing Cognitive computing is the development of computer systems that aim to mimic human thinking processes. By modeling cognitive abilities such as learning, understanding, reasoning and language processing, these systems are capable of more eff... View
AI Terms 02.07.2026 Cognitive Robotics Cognitive robotics is a field of research that aims to give robots human-like thinking, learning and problem-solving capabilities. This approach allows robots to be more independent and flexible when interacting with their environment. View
AI Terms 02.07.2026 Computer Vision Computer vision is a field of technology that enables computers to analyze images and videos and understand them in a way that the human eye can see. This process involves recognizing, classifying and interpreting objects in images using im... View
AI Terms 02.07.2026 Consistency It is the ability of an AI model to produce the same results under different data sets or conditions. Consistency indicates the model's reliability and ability to generalize. View
AI Terms 02.07.2026 Cost Function It is a function used to evaluate and optimize the performance of a machine learning model. The cost function measures how far the model's predictions are from the true values and is used to adjust the model's parameters to minimize this di... View
AI Terms 02.07.2026 Cross-validation It is a method used to evaluate the performance of a machine learning model. The dataset is divided into training and test sets to measure the generalization ability of the model. View
AI Terms 02.07.2026 Data Analytics Data analytics is a systematic process of examining raw data in order to extract useful information from it and support decision-making processes. This process involves collecting, processing and analyzing data sets and results in the disco... View
AI Terms 02.07.2026 Data Mining Data mining is the process of discovering previously unknown, interesting patterns, relationships and information from large data sets. It analyzes data and extracts useful information using statistics, artificial intelligence and machine l... View
AI Terms 02.07.2026 Data Visualization Data visualization is the process of presenting data in an understandable and interactive way using graphs, maps and other visual formats. This method allows information from complex data sets to be easily understood and analyzed. View
AI Terms 02.07.2026 Data Warehousing Data warehousing is a storag A data warehouse is a centralized storage system that consolidates, stores and manages large amounts of an organization's structured data from different sources. This system is used to analyze data, generate rep... View
AI Terms 02.07.2026 Deep Learning Deep learning is the process of learning complex patterns and representations from data using multilayer artificial neural networks. This method is characterized by its ability to automatically extract and recognize features from large data... View
AI Terms 02.07.2026 Deep Reinforcement Learning Deep reinforcement learning is a machine learning method that combines deep learning and reinforcement learning. This approach enables AI systems to make optimal decisions through feedback from the environments they encounter. Deep neural n... View
AI Terms 02.07.2026 Dropout It is a method used to increase the generalization ability of a deep learning model. During training, the complexity of the network is reduced by randomly deactivating a certain percentage of neurons. View
AI Terms 02.07.2026 Edge Computing Edge AI is a technology approach where data processing and artificial intelligence algorithms are executed on local devices, without the need for cloud-based data centers. This is particularly important for data privacy, low latency times, ... View
AI Terms 02.07.2026 Explainable AI Explainable AI (XAI) is an approach that aims to make the decision-making processes of AI systems understandable and assessable by humans. This approach, particularly in complex models like deep learning, tries to explain how and why the al... View
AI Terms 02.07.2026 Feature Refers to a characteristic or variable of a data point or observation. Features represent attributes of a data point or observation and are usually expressed in numerical or categorical values. Machine learning models use these features to ... View
AI Terms 02.07.2026 Feature Extraction The process of transforming information in data sets into meaningful features. Feature extraction helps AI models better understand and learn from data. View
AI Terms 02.07.2026 Federated Learning Federated learning is a method used to train machine learning models without sharing data across multiple devices or servers. The fundamental idea is to train models locally at the data source, and then integrate updates from these local mo... View
AI Terms 02.07.2026 Filtering It is a process used to extract noise or redundant information from data sets. It is widely used in artificial intelligence and machine learning applications for data cleaning and feature selection. View
AI Terms 02.07.2026 Generative Adversarial Network It is a model of artificial intelligence where two networks compete against each other. One network tries to generate realistic data while the other network tries to distinguish it. This method is particularly used in areas such as image sy... View
AI Terms 02.07.2026 Genetic Algorithms Genetic algorithms are search and optimization techniques inspired by natural selection and genetic mechanisms that aim to achieve optimal or near-optimal solutions. These algorithms apply iterative operations on a population representing s... View
AI Terms 02.07.2026 Graphics Processing Unit (GPU) A piece of hardware in a computer that is specially designed to process graphics. GPUs are used to quickly process images, render graphics and run 3D games or graphics-intensive applications. In recent years, they have also been used for co... View
AI Terms 02.07.2026 Hierarchical Learning It is the process by which an artificial intelligence system learns by decomposing complex concepts into simple components. This approach can improve learning efficiency by breaking down complex problems into smaller and more manageable par... View
AI Terms 02.07.2026 Hybrid Artificial Intelligence It refers to an approach that combines different artificial intelligence techniques. Hybrid artificial intelligence systems aim to achieve more powerful and effective results by utilizing many different techniques. View
AI Terms 02.07.2026 Hyperparameter They are adjustable parameters used to control the training process of a machine learning model that are not learned by the model itself. For example, values such as the learning rate or the regularization term are hyperparameters. View
AI Terms 02.07.2026 Image Recognition Image recognition is the process by which computer systems automatically recognize and classify objects, patterns or features within images. This is accomplished using artificial intelligence and machine learning techniques. View
AI Terms 02.07.2026 Inference The process of making predictions on data on which a model has been trained. After training, an AI model can make inferences or draw conclusions based on new incoming data. View
AI Terms 02.07.2026 Interactive Learning A learning method where the AI model interacts with the user or external influences. The model receives feedback and continuously improves itself based on this feedback. View
AI Terms 02.07.2026 Internet of Things The Internet of Things (IoT) is the interconnection of physical devices, vehicles and other objects with an internet connection so that they can exchange data with each other and their environment. This technology makes everyday objects sma... View
AI Terms 02.07.2026 Iteration The repetition of an algorithm or process. In the context of AI and machine learning, an iteration can refer to the completion of a cycle during training or optimizing a model. View
AI Terms 02.07.2026 Knowledge Discovery It is a process used to discover patterns and relationships in data sets. AI models can be used to improve decision-making by extracting useful information from large datasets. View
AI Terms 02.07.2026 Large Language Model (LLM) Large Language Models (LLM) are artificial intelligence systems that learn from large amounts of textual data and, as a result of this learning, gain the ability to understand and produce human language. These models are used in natural lan... View
AI Terms 02.07.2026 Localization The process of determining the position of an object or objects in an environment. In artificial intelligence applications, it is often used in object detection and tracking systems. View
AI Terms 02.07.2026 Logistic Regression It is a classification algorithm. It takes the linear combination between input data and weights and passes the result to a logistic function to obtain probabilistic classification results. View
AI Terms 02.07.2026 Machine Learning Machine learning is a branch of artificial intelligence used for computer systems to automatically improve and develop themselves by learning from data or experience. This process involves algorithms finding patterns and relationships in da... View
AI Terms 02.07.2026 Missing Data A situation where certain attributes or values are missing from a dataset. This can pose a significant challenge for data analysis and machine learning models and missing data needs to be handled correctly. View
AI Terms 02.07.2026 Model It is the structure that represents the results or predictions generated by a machine learning or artificial intelligence algorithm. The model contains patterns learned on training data and is used to make predictions on new data. View
AI Terms 02.07.2026 Multi-labeling The process of assigning multiple labels to an item or document. Especially used in multi-class classification problems, e.g. classifying a document into more than one category. View
AI Terms 02.07.2026 Natural Language Generation Natural Language Generation (NLG) is a sub-branch of artificial intelligence that enables computer systems to produce text or speech that humans can understand. This technology converts data and information into natural language text to cre... View
AI Terms 02.07.2026 Natural Language Processing Natural Language Processing (NLP) is a field of artificial intelligence and linguistics used for computers to understand, interpret and process human language data. This technology provides the ability to extract meaning from and interact w... View
AI Terms 02.07.2026 Neural Network A neural network is an artificial intelligence model composed of interconnected nodes (artificial neurons) that tries to mimic the way the human brain processes information. These models are trained to learn complex patterns and relationshi... View
AI Terms 02.07.2026 Object Detection It is the process of detecting and classifying objects in an image. Object recognition algorithms are used to identify objects in an image and predict to which class these objects belong. View
AI Terms 02.07.2026 Object Segmentation It is the process of determining to which object or region each pixel in an image belongs. Object segmentation is used to separate objects from other objects or background and is used to clearly define the boundaries of objects in an image. View
AI Terms 02.07.2026 Object Tracking It is the process of tracking the movement of an object within a video stream or series. Object tracking algorithms are used to determine and track the position of the object, which is important for many applications such as tracking moving... View
AI Terms 02.07.2026 Objective Function The objective function of an artificial intelligence model that should be optimized. This function is a metric or criterion that evaluates the performance of the model and provides a guide for improvement. View
AI Terms 02.07.2026 Optimization The process of improving the performance or optimizing the objective function of an artificial intelligence model. This usually involves methods such as parameter tuning, hyperparameter optimization or model architecture changes. View
AI Terms 02.07.2026 Optimization Algorithm A mathematical algorithm used to maximize the performance of an AI model or to optimize a specific goal. For example, it is used to find the best parameters or the best solution. View
AI Terms 02.07.2026 Parameter Tuning It is an optimization process used in machine learning models. Parameter tuning is used to optimize the hyperparameters of the model (e.g., learning rate, number of epochs) to improve the performance of the model. View
AI Terms 02.07.2026 Predictive Maintenance Predictive maintenance is a management strategy that anticipates maintenance needs of machinery and equipment before they fail, thus reducing unexpected downtime and costs. This approach is realized using tools such as data analysis, sensor... View
AI Terms 02.07.2026 Pyramid of Knowledge Data is a structure that is a combination of the words Data, Information, Knowledge and Wisdom, and describes how data is valued from private to general and reaches meaningful results. View
AI Terms 02.07.2026 RAG (Retrieval Augmented Generation) RAG - Retrieval-Augmented Generation; is a technique for increasing the accuracy and reliability of generative artificial intelligence models with information and data obtained from different sources. RAG combines retrieval and generation c... View
AI Terms 02.07.2026 Random Forest It is a machine learning algorithm that uses an ensemble of decision trees. Random forests offer high accuracy and robustness because they are structured with multiple trees. View
AI Terms 02.07.2026 Recommender System A recommender system is a technology that provides personalized product, service or content recommendations based on users' past behavior, preferences and interactions with similar users. These systems are used to improve the user experienc... View
AI Terms 02.07.2026 Recurrent Neural Network A Recurrent Neural Network (RNN) is a type of artificial neural network that can operate on time-varying data sequences by memorizing prior knowledge. This feature makes RNNs suitable for tasks that require sequential data, such as time ser... View
AI Terms 02.07.2026 Recursive Neural Network Recurrent neural networks, a type of artificial neural network architecture, are used to process sequential data. Used especially in areas such as natural language processing, these networks produce output by taking into account the previou... View
AI Terms 02.07.2026 Recursive Neural Networks It is a type of artificial neural network that uses the same weights and connections when processing each element of the input. Recursive neural networks are suitable for situations where there is a repeated order or hierarchy of the compon... View
AI Terms 02.07.2026 Regression Analysis It is a statistical analysis method used to understand the relationship between two or more variables. Regression analysis is used to determine the effect of one independent variable on one or more dependent variables. View
AI Terms 02.07.2026 Reinforcement Learning Reinforcement learning is the process by which an agent learns the best actions through trial and error and feedback (rewards or punishments). This method aims for the agent to achieve the highest reward in the long run. View
AI Terms 02.07.2026 Robotics Robotics is a multidisciplinary branch of engineering and science concerned with the design, construction, operation and use of robots. In this field, mechanical, electronic and computer systems are developed that facilitate, automate or pe... View
AI Terms 02.07.2026 Self-Driving Car A driverless vehicle is an automated vehicle that can navigate, sense its surroundings and make decisions on its own without the need for human intervention. These vehicles use sensors, camera systems, radars and artificial intelligence tec... View
AI Terms 02.07.2026 Self-learning The ability of an artificial intelligence system to learn on its own without external intervention. These systems often use their experience to process data and improve themselves. View
AI Terms 02.07.2026 Semantic Segmentation It is a method used in image processing. It classifies an image at the pixel level and assigns each pixel to the corresponding class. This method is used to identify objects or segments in images. View
AI Terms 02.07.2026 Sensitivity It refers to how sensitive an AI model is to small changes in the input data. Sensitivity is important for determining the stability and reliability of the model. View
AI Terms 02.07.2026 Speech Recognition Speech recognition is the process by which computer systems detect and transcribe human speech or understand given commands. This technology uses natural language processing and audio processing techniques. View
AI Terms 02.07.2026 Supervised Learning Supervised learning is a learning method that uses labeled datasets to learn. View
AI Terms 02.07.2026 Swarm Intelligence Swarm intelligence is a form of collective behavior and intelligence that results from the interactions of a group of individuals (usually simple agents). It is a concept inspired by nature and is based on the ability of animal communities ... View
AI Terms 02.07.2026 Template Matching It is a method used in image processing. It is the process of finding a specific pattern or pattern in an image. This method is used in applications such as object detection and recognition. View
AI Terms 02.07.2026 Training Data The data set used in training an artificial intelligence model. This data set helps the model learn a specific task and improve its ability to generalize. Training data is important in determining the accuracy and performance of the model. View
AI Terms 02.07.2026 Transformers Transformers is a type of architecture used in deep learning models and has revolutionized natural language processing (NLP) tasks in particular. These models were introduced in 2017 with the paper "Attention Is All You Need" and are based ... View
AI Terms 02.07.2026 Unmanned Aerial Vehicles Unmanned aerial vehicles (UAVs) are aerial vehicles that can be remotely controlled without a pilot or can perform pre-programmed tasks automatically. They are used for various purposes such as military surveillance, search and rescue, traf... View
AI Terms 02.07.2026 Unsupervised Learning Unsupervised learning is a machine learning method in which computer algorithms aim to discover hidden structures or patterns in unlabeled data. In this approach, the system learns relationships and regularities in data sets without predete... View
AI Terms 02.07.2026 User Identification It is the process by which artificial intelligence systems recognize or verify the identity of users. It is performed by analyzing user-specific features or behaviors. View
AI Terms 02.07.2026 User Interface (UI) An interface that allows users to interact with a software or system. In AI systems, user interfaces are designed to enable users to use the system interactively. View
AI Terms 02.07.2026 Virtual Reality Virtual reality is a technology that immerses the user in a fully computer-generated, interactive 3D environment. This environment can mimic real world experiences or present completely imaginary scenarios, allowing the user to interact wit... View
