The Tenth Defense Industry AI Talks Held
The tenth Defense Industry Artificial Intelligence Talks brought sector representatives together around artificial intelligence strategies in defense ...
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SAYZEK
An SSB project connecting academia, private sector and public needs around defense industry AI capabilities.
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The Tenth Defense Industry AI Talks Held
The tenth Defense Industry Artificial Intelligence Talks brought sector representatives together around artificial intelligence strategies in defense ...
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8th Productivity and Technology Fair Concluded
The 8th Productivity and Technology Fair was held at ATO Congresium with the theme Ready For The Future.
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The Ninth Defense Industry AI Talks Held
The ninth Defense Industry Artificial Intelligence Talks focused on Context Engineering and brought public, academic and sector stakeholders together.
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SAYZEK ATP 2025-2026 Winter Camp Completed
The SAYZEK ATP 2025-2026 Winter Camp was completed with students from different universities, cities and engineering disciplines.
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The Eighth Defense Industry AI Talks Held
The eighth Defense Industry Artificial Intelligence Talks focused on Retrieval-Augmented Generation architectures.
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EVREN Platformu Tanıtım Etkinliği Sektörün Yoğun Katılımıyla Gerçekleştirildi
Cumhurbaşkanlığı Savunma Sanayii Başkanlığı (SSB) himayelerinde Savunma Sanayii Yapay Zeka Platformu çatısı altında geliştirdiğimiz, ül...
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Savunma Sanayiinin Yapay Zeka EVREN'i Faaliyete Geçti
EVREN; Türkiye’nin yapay zekâ geliştirme kapasitesini büyütmek amacıyla geliştirilen, uçtan uca yapay zekâ üretim platformudur. Platform;
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SAYZEK - Akademik Tez Programı (ATP) 2025 - 2026 Dönemi Kış Kampı Başlıyor!
SAYZEK-ATP 2025–2026 Kış Kampı- Kesin Katılım, Konaklama ve Ulaşım Duyurusu
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SAYZEK - ATP 2024-2025 Tezden Teknolojiye Final Buluşması'ndaki Poster Sunumları YouTube Kanalımızda
Savunma Sanayii Başkanlığı uhdesinde yürütülen Savunma Sanayii Yapay Zekâ Yetenek Kümelenmesi (SAYZEK) faaliyetleri kapsamında, savunma sekt...
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Yapay Zekâ Girişimcilerine 900.000 TL Hibe!
AIJET BİGG Başvuruları Açıldı!
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Events
The Tenth Defense Industry AI Talks Held
The tenth Defense Industry Artificial Intelligence Talks focused on Agentic Coding at the SSB Nuri Demirag Conference Hall.
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The Ninth Defense Industry AI Talks Held
The ninth Defense Industry Artificial Intelligence Talks was held with the theme Context Engineering.
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SAYZEK ATP 2025-2026 Winter Camp Completed
The SAYZEK ATP 2025-2026 Winter Camp was completed with broad participation from universities and engineering disciplines.
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The Eighth Defense Industry AI Talks Held
The eighth Defense Industry Artificial Intelligence Talks focused on RAG architectures.
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The Seventh Defense Industry AI Talks Held
The seventh Defense Industry Artificial Intelligence Talks was held with the theme Agentic AI.
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Articles
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AI Terms Dictionary
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AI Terms Dictionary
All
A
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 o...
AAnomaly Detection
Anomaly detection is the process of identifying data points, events or observations that show significant deviations from normal data patterns. This method is u...
AArchitecture
It refers to the structural design and components of artificial intelligence models. Architecture describes the layers, neurons and connections of a model.
AArtificial General Intelligence
Artificial General Intelligence (AGI) are artificial intelligence systems that can mimic the wide-ranging cognitive capabilities of human intelligence and perfo...
AArtificial Intelligence
Artificial intelligence is the ability of a computer or computer-controlled robot to perform tasks usually associated with intelligent beings.
AArtificial Neural Network
An artificial neural network is an artificial intelligence model consisting of interconnected nodes (artificial neurons) that model the information processing a...
AAugmented 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 worl...
BBig 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,...
CChatbot
A chatbot is a software application that can interact with humans through natural language, either written or spoken. Using artificial intelligence, natural lan...
CCloud Computing
Cloud computing is a technology that provides on-demand access to computing resources (e.g. servers, storage, applications and services) over the internet. User...
CClustering
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 patter...
CCognitive Computing
Cognitive computing is the development of computer systems that aim to mimic human thinking processes. By modeling cognitive abilities such as learning, underst...
CCognitive 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 t...
CComputer 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 proce...
CConsistency
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 ...
CCost 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 ...
CCross-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 ab...
DData 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 ...
DData Mining
Data mining is the process of discovering previously unknown, interesting patterns, relationships and information from large data sets. It analyzes data and ext...
DData 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 in...
DData 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 structure...
DDeep Learning
Deep learning is the process of learning complex patterns and representations from data using multilayer artificial neural networks. This method is characterize...
DDeep Reinforcement Learning
Deep reinforcement learning is a machine learning method that combines deep learning and reinforcement learning. This approach enables AI systems to make optima...
DDropout
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 deact...
EEdge 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 da...
EExplainable 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, partic...
FFeature
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...
FFeature Extraction
The process of transforming information in data sets into meaningful features. Feature extraction helps AI models better understand and learn from data.
FFederated 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 m...
FFiltering
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 fo...
GGenerative 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 tri...
GGenetic Algorithms
Genetic algorithms are search and optimization techniques inspired by natural selection and genetic mechanisms that aim to achieve optimal or near-optimal solut...
GGraphics 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 g...
HHierarchical Learning
It is the process by which an artificial intelligence system learns by decomposing complex concepts into simple components. This approach can improve learning e...
HHybrid Artificial Intelligence
It refers to an approach that combines different artificial intelligence techniques. Hybrid artificial intelligence systems aim to achieve more powerful and eff...
HHyperparameter
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 su...
IImage Recognition
Image recognition is the process by which computer systems automatically recognize and classify objects, patterns or features within images. This is accomplishe...
IInference
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 in...
IInteractive 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 ...
IInternet 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 w...
IIteration
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 opt...
KKnowledge 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...
LLarge 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 abilit...
LLocalization
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...
LLogistic 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 probabil...
MMachine Learning
Machine learning is a branch of artificial intelligence used for computer systems to automatically improve and develop themselves by learning from data or exper...
MMissing 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 a...
MModel
It is the structure that represents the results or predictions generated by a machine learning or artificial intelligence algorithm. The model contains patterns...
MMulti-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 t...
NNatural 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....
NNatural Language Processing
Natural Language Processing (NLP) is a field of artificial intelligence and linguistics used for computers to understand, interpret and process human language d...
NNeural 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...
OObject 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 ...
OObject 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...
OObject 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...
OObjective 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 th...
OOptimization
The process of improving the performance or optimizing the objective function of an artificial intelligence model. This usually involves methods such as paramet...
OOptimization 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 ...
PParameter 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, numbe...
PPredictive Maintenance
Predictive maintenance is a management strategy that anticipates maintenance needs of machinery and equipment before they fail, thus reducing unexpected downtim...
PPyramid 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 rea...
RRAG (Retrieval Augmented Generation)
RAG - Retrieval-Augmented Generation; is a technique for increasing the accuracy and reliability of generative artificial intelligence models with information a...
RRandom 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 m...
RRecommender System
A recommender system is a technology that provides personalized product, service or content recommendations based on users' past behavior, preferences and inter...
RRecurrent 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 feat...
RRecursive 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 langu...
RRecursive 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 su...
RRegression 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 on...
RReinforcement 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 ...
RRobotics
Robotics is a multidisciplinary branch of engineering and science concerned with the design, construction, operation and use of robots. In this field, mechanica...
SSelf-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. Th...
SSelf-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...
SSemantic 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 ide...
SSensitivity
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 mode...
SSpeech Recognition
Speech recognition is the process by which computer systems detect and transcribe human speech or understand given commands. This technology uses natural langua...
SSupervised Learning
Supervised learning is a learning method that uses labeled datasets to learn.
SSwarm 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...
TTemplate 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 obj...
TTraining 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. Train...
TTransformers
Transformers is a type of architecture used in deep learning models and has revolutionized natural language processing (NLP) tasks in particular. These models w...
UUnmanned 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 ...
UUnsupervised Learning
Unsupervised learning is a machine learning method in which computer algorithms aim to discover hidden structures or patterns in unlabeled data. In this approac...
UUser 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 beh...
UUser 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 interactivel...
VVirtual Reality
Virtual reality is a technology that immerses the user in a fully computer-generated, interactive 3D environment. This environment can mimic real world experien...
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