1. Elements
1.1. Machine Learning
1.1.1. Predictive Analytics
1.1.2. Model Optimiztion
1.1.3. Clustering & Clussification
1.1.4. Association Algorithms
1.2. Deep Learning
1.2.1. Automated Feture selection
1.2.2. Comprised Numerical Model to Train Deep Networks
1.2.3. Scientific Experiment Design
1.2.4. Image Classification
1.3. Natural Language Processing(NLP)
1.3.1. Speech Recognition
1.3.2. Text Generation & Analysis
1.3.3. Information Extraction
1.4. Robotics
1.4.1. Space and Underwater Exploration
1.4.2. Food Preparation
1.4.3. Programming
1.4.4. Health Care
1.5. Computer Vision
1.5.1. Image Recognition
1.5.2. Machine Vision
1.5.3. Extract information from digital images, videos, and other visual inputs.
2. Applications
2.1. Medical Field
2.1.1. Robotics Pets
2.1.2. Medical Algorithms
2.1.3. Surgery Simulator
2.1.4. Robotic Radiosurgery
2.2. Finance
2.2.1. Chatbots
2.2.2. Fraud Detection
2.2.3. Robo-Advisor
2.3. Transportation
2.3.1. Intelligent Transportaion Systems
2.3.2. Face Recognition
2.3.3. Self-driving Car
2.3.4. AI-driven Emergency Response System
2.4. Games
2.4.1. Non-player Characters (NPCs)
2.4.2. Copmuter Games
2.4.3. Predicting any competitive sports
2.5. Education
2.5.1. Automatic Grading
2.5.2. Eductional Software
2.5.3. AI Tutor
2.5.4. Story/Poem/Content Writing
2.5.5. Handwriting Detection
2.6. Daily Life
2.6.1. Smart Home Manager
2.6.2. Smartphone
2.7. Service Industry
2.7.1. Customar Services
2.7.2. Automated Ditchpaching
2.8. Marine Science/Oceanograpy
2.8.1. Modeling Complex Ecological Systems
2.8.2. Marine Network Planning
2.8.3. Satellite Image Analysis
2.8.4. Underwater AI-based Robot
2.8.5. Identifying various animals & seabed species
2.8.6. Ocean Observation