AI Information
Artificial Intelligence Information
From basic information about Artificial Intelligence (AI) to technical classifications, application fields, challenges and future, we present everything in an easy-to-understand format!
Deepen Your Understanding of AI Technology
Learn about the latest AI technology, from basics to advanced applications.
What is AI?
Basic concepts and definitions of Artificial Intelligence
Definition of AI
Artificial Intelligence is technology that mimics human intellectual activities through computers. It refers to systems with capabilities for learning, reasoning, recognition, and decision-making.
AI Characteristics
AI has the ability to learn from large amounts of data, recognize patterns, and make predictions and decisions. Its performance improves through continuous learning.
AI Evolution
From its conceptual beginnings in the 1950s to today's deep learning, AI technology has rapidly evolved and is being practically applied in various fields.
AI Technology Classification
Systematic understanding of AI technology classified by function and capability level
Machine Learning
Technology that automatically learns patterns from data to make predictions and classifications
- Supervised Learning
- Unsupervised Learning
- Reinforcement Learning
Deep Learning
Machine learning method using multi-layered neural networks
- Convolutional Neural Networks (CNN)
- Recurrent Neural Networks (RNN)
- Transformer
Computer Vision
AI technology for understanding and analyzing images and videos
- Image Recognition
- Object Detection
- Face Recognition
Natural Language Processing (NLP)
AI technology for understanding and processing human language
- Text Analysis
- Machine Translation
- Dialogue Systems
AI Application Fields
Practical applications of AI technology across various industries and fields
Healthcare & Medical
Diagnostic support, drug development, medical image analysis, personalized medicine, and more
- Improved Image Diagnostics
- Accelerated Drug Development
- Personalized Treatment
Autonomous Driving & Transportation
Self-driving vehicles, traffic optimization, predictive maintenance, and more
- Autonomous Driving Technology
- Traffic Congestion Resolution
- Enhanced Safety
E-commerce & Retail
Recommendations, inventory management, price optimization, and more
- Personalized Product Recommendations
- Demand-Based Inventory Optimization
- Dynamic Pricing
Education & Learning
Personalized learning, automated grading, learning support systems, and more
- Personalized Learning Programs
- Automated Grading Systems
- Learning Progress Analysis
Finance & Insurance
Risk assessment, fraud detection, algorithmic trading, and more
- Credit Risk Assessment
- Fraud Detection
- Investment Strategy Optimization
Manufacturing
Quality control, predictive maintenance, production optimization, and more
- Automated Quality Inspection
- Predictive Equipment Maintenance
- Production Line Optimization
AI Challenges and Future Prospects
Current challenges facing AI technology and its future possibilities
Current Challenges
Ethics & Privacy
Personal data protection, algorithmic fairness, decision-making transparency
Technical Limitations
Data quality and quantity, computational resources, interpretability challenges
Societal Impact
Impact on employment, widening disparities, human-AI collaboration
Future Prospects
Artificial General Intelligence (AGI)
Realization of general-purpose AI systems with human-level intelligence
Human-AI Collaboration
AI enhancing human capabilities and creating new value
Solving Social Challenges
Contributing to global challenges in climate change, healthcare, education, and more