What is AI?
•Artificial Intelligence (AI) simulates human intelligence in
machines.
• Applications:
• - Learning
• - Reasoning
• - Problem-solving
• - Perception
• - Natural Language Processing
3.
History of AI
•• 1950s: Alan Turing’s ideas
• • 1956: Term 'AI' introduced
• • 1980s: Expert Systems
• • 2000s+: Machine Learning & Deep Learning
4.
Types of AI
•1. Narrow AI – Specialized tasks
• 2. General AI – Human-like intelligence
• 3. Superintelligent AI – Beyond human capabilities
5.
Applications of AI
•• Healthcare (diagnosis, drug discovery)
• • Finance (fraud detection, trading)
• • Transportation (autonomous vehicles)
• • Education (personalized learning)
• • Entertainment (recommendation systems)
6.
Advantages of AI
•• Reduces human error
• • Works 24x7
• • Assists in repetitive tasks
• • Faster decision-making
• • Improves efficiency
7.
Challenges of AI
•• High cost of implementation
• • Lack of creativity
• • Job displacement
• • Data privacy issues
• • Ethical dilemmas
8.
Future of AI
•• Smarter autonomous systems
• • AI in all sectors
• • Human-AI collaboration
• • Ethical AI development
• • Potential superintelligence
9.
AI in DailyLife
• • Virtual assistants (Siri, Alexa)
• • Online recommendations
• • Spam filters
• • Maps & navigation
• • Smart home devices
10.
Conclusion
• Artificial Intelligenceis reshaping the world.
• If used responsibly, AI can drive progress while addressing
challenges for a safe, ethical future.