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Artificial Intelligence - Coggle Diagram
Artificial Intelligence
Definition
Simulation of human intelligence in machines
Designed to mimic human cognitive functions
Includes learning, reasoning, and self-correction
Types of AI
Narrow AI: Specialized in one task
Speech recognition
Image recognition
General AI: Intelligence across a wide range of tasks
Still theoretical; akin to human cognitive abilities
Superintelligent AI: Surpasses human intelligence
Core Technologies
Machine Learning (ML)
Supervised and unsupervised learning
Neural networks
Deep learning
Natural Language Processing (NLP)
Chatbots
Translation services
Computer Vision
Image and facial recognition
Robotics
Autonomous vehicles
Manufacturing robots
Applications
Healthcare
Diagnostics
Personalized medicine
Finance
Algorithmic trading
Fraud detection
Entertainment
Game design
Movie recommendations
Education
Automation of administrative task
Adaptive learning platforms
Ethical Considerations
Privacy and surveillance
Bias and fairness
Job displacement
Autonomy and accountability
Future Directions
Integration into everyday life
Enhancing human capabilities
Solving complex global challenges
Regulatory and ethical frameworks
Challenges
Data privacy and security
Ethical and societal implications
Technical limitations
Accessibility and inclusivity
History & Evolution
Early Concepts & Theories
Milestones in AI development
The AI Winter and Renaissance
Links
Intelligent machines:
http://www.bbc.co.uk/news/technology-33978561
Google kill switch:
http://www.bbc.co.uk/news/technology-36472140
Future of AI:
http://www.bbc.co.uk/news/technology-37494863
Timeline:
http://www.bbc.co.uk/timelines/zq376fr