The document discusses artificial intelligence (AI) as the development of systems that perform tasks requiring human intelligence, categorized into narrow AI and general AI. It covers key components like machine learning, neural networks, and applications in various sectors including healthcare, automotive, gaming, and finance. Additionally, it explains how machine learning enables systems to learn and improve over time, providing insights into its operation and examples.

1. Artificial
Intelligence and
Machine Learning
Presented by Kaye Xyrra P. Flora

3. These tasks include learning,
reasoning, problem-solving,
perception, and language
understanding.
Artificial Intelligence (AI) refers to the development
of computer systems capable of performing tasks
that typically require human intelligence.

4. Types
of AI
Narrow AI (Weak AI)
General AI (Strong AI)
AI designed and trained for a specific task, such
as image recognition or language translation.
AI with human-like cognitive abilities, capable of
understanding and performing any intellectual
task that a human can.

5. Components of AI
Machine Learning Neural Networks
NLP, Computer Vision, Robotics
Subset of AI that enables systems to
learn from data and improve over time
without explicit programming.
Introduction to artificial neural
networks, inspired by the structure
and functioning of the human brain.
Brief descriptions of other key components
contributing to AI's capabilities, including
NLP, computer vision, and robotics.

6. AI
Applications
Healthcare:
Automotive
Gaming
Finance:
Customer Service
AI assists in disease diagnosis,
personalized treatment plans,
and drug discovery.
Self-driving cars utilize AI for
navigation, object recognition,
and decision-making on the road.
AI opponents in video games
employ adaptive strategies and
behaviors to challenge players.
AI algorithms power fraud
detection, algorithmic trading, & risk
assessment in financial markets.
Chatbots provide automated
customer support and assistance
in various industries.

7. Algorithms that enable systems to learn from
data and improve over time without explicit
programming.
Machine Learning

8. How does machine learning work?

9. Examples of Artificial intelligence and Machine Learning

10. Thankyou