1. Machine learning
1.1. Supervised learning
1.1.1. Housing Price prediction
1.1.2. Medical Imaging
1.1.2.1. Medical diagnosis by Image
1.1.3. Quality management
1.2. Unsupervised learning
1.2.1. Customer segmentation
1.2.2. Market Basket Analysis
1.3. Semi-supervised learning
1.3.1. Text Classification
1.3.2. LAne finding on cps data
1.4. Reinforcement learning
1.4.1. Optimized MArketing
1.4.2. Driverless cars
2. Robotics
2.1. Industrial Robot
2.1.1. Traffic control
2.1.2. GPS
2.1.2.1. Vacuum Cleaner
2.1.2.2. Cutting the Crass
2.1.2.3. Reminder
2.1.3. Autonomic Robots
2.1.4. Slam
2.2. Service Robot
2.2.1. Indoor robots
2.2.1.1. Medical robots
2.2.1.2. Electrical appliances with build-in AI
2.2.1.2.1. Smart Fridge
2.2.1.2.2. 3D Robotiikka etänä
2.2.1.3. Communication robots
2.2.2. Field robots
2.2.2.1. Agricultural robots
2.2.2.2. Construction robots
2.2.2.3. Disaster response robots
2.2.2.4. Transport robots
2.2.2.4.1. Mobiili robots(ARM)
2.2.2.5. Transportation robots(designed to move people)
2.2.2.5.1. Autonomic Car
2.2.2.6. Robot suits
2.2.2.7. DRONE
3. Natural Language Processing
3.1. Language translation
3.1.1. Google Translate
3.2. Email Filtering
3.3. Sentiment Analysis
3.4. Chatbot
3.5. Social Media Monitoring
3.6. Automatic Summarization
3.7. Predictive Text
3.8. Online Searches
3.8.1. DuckDuck
3.8.2. Google
3.9. Document Analysis
3.9.1. Grammanly
3.9.1.1. Google Dogs
3.10. Smart Assistant
3.11. Machine Translation
3.12. Information Extraction
3.13. Information Retrieval
3.14. Question Answering
3.15. Voice Assistant(kuuluuko jonkun alle)
3.15.1. Alexa
3.15.2. Siri
3.16. Speech Recognization
3.17. Reporting
3.17.1. Marketing
3.17.2. Clinical
4. Expert system(knowledge)
4.1. All input sortering
4.1.1. Energy efficient
4.1.1.1. AlphaGota
4.2. System working with rules
4.2.1. Chemistry
4.2.2. Process Control Systems
4.2.3. Finance
4.2.3.1. Stock market Trading
4.2.4. Repairing
4.2.5. Customer Service
4.3. Quantitive Collecting
4.4. Information to symbols
4.5. Make decision by information
4.5.1. Monitoring systems
4.5.2. Warehouse optimization
4.6. Transport
4.6.1. marine
4.7. Inferred facts with working memory
4.7.1. Inference Engine
4.7.2. Alcorithms and mechanisms
4.7.3. Diagnose Breakdowns
4.7.4. Diagnose Medical Issues, recomment treatment plans
4.7.5. Manage emergencies cituation and make indepentend decision
4.7.6. Problem solving
4.7.6.1. design domain
4.7.6.1.1. Automobile design
4.7.6.1.2. Camera lins Design
4.7.6.2. Knowledge domain
4.7.6.2.1. Founding out the fault in vehicles
4.7.6.2.2. Founding out the fault in computer
4.7.7. Warehouse optimization
4.7.7.1. evaluation
4.7.8. Calculates most effective route
4.7.8.1. Maps
4.8. ERP
4.8.1. Shipping
4.8.1.1. Anticipation
4.8.1.1.1. Anticipatory shipping
4.8.2. Delivery
5. Computer Vision
5.1. Detection
5.1.1. Edge
5.1.2. Traffic
5.1.3. Feature Detection
5.1.4. Chemical Compounds
5.2. Binarization
5.3. Classification
5.3.1. Image
5.3.1.1. Layer based Segmention
5.3.1.2. Block based Segmentation
5.4. Tracking
5.4.1. Football Players
5.4.2. Divination
5.5. OCR
5.5.1. Magazines digitalization
5.5.1.1. Accuracy
5.6. Recognition
5.6.1. Face
5.6.2. Logo
5.6.3. Metadata Analysis
5.6.4. Reverse search Image
5.7. STR
5.7.1. Airplane registrations
6. Computer Speech recognition
6.1. Acoustic phonetic approach
6.1.1. Amplitude
6.1.2. Frequency
6.2. Pattern recognition approach
6.2.1. Model based approach
6.2.1.1. Template based approach
6.2.1.2. Stochastic Approach
6.3. Artificial intelligence approach
6.3.1. Rule based approach
6.3.1.1. Knowledge based system
6.3.1.1.1. Hypertext manipulation systems
6.3.1.1.2. Expert systems
6.3.1.1.3. Intelligent tutoring systems
6.3.1.1.4. Case-based system
6.3.1.1.5. Rule-based system