Quick Summary
AI enables machines to perform tasks that typically require human intelligence, including visual perception, speech recognition, decision-making, and language translation.
Artificial Intelligence (AI) refers to the simulation of human intelligence in machines programmed to think and learn like humans. It encompasses various technologies including machine learning, natural language processing, computer vision, and robotics.
Types of AI
| Type | Description | Status |
|---|---|---|
| Narrow/Weak AI | Designed for specific tasks | Current state |
| General/Strong AI | Human-level intelligence across domains | Research phase |
| Super AI | Surpasses human intelligence | Theoretical |
AI Applications
- Virtual assistants (Siri, Alexa, Google Assistant)
- Recommendation systems (Netflix, Amazon)
- Autonomous vehicles
- Fraud detection
- Medical diagnosis
- Chatbots and customer service
- Image and speech recognition
AI Subfields
- Machine Learning: Systems that learn from data
- Natural Language Processing: Understanding human language
- Computer Vision: Interpreting visual information
- Robotics: Physical AI systems
- Expert Systems: Decision-making based on rules
AI in Business
- Process automation
- Predictive analytics
- Personalized marketing
- Supply chain optimization
- Human resources screening
- Financial forecasting
Key Points
- Simulation of human intelligence
- Includes ML and NLP
- Narrow AI is current state
- Used across industries
- Requires data for training
- Ethical considerations important