Facial Recognition in AI: Image Tagging and Identification Quiz

Study Notes

Sub-fields of Artificial Intelligence

Natural Language Processing: enables computers to communicate in human language (e.g., English, Amharic)
Knowledge Representation: schemes to store information (facts and inferences) for interrogation
Automated Reasoning: uses stored information to answer questions and draw new conclusions
Machine Learning: adapts to new circumstances and accumulates knowledge
Computer Vision: recognizes objects based on patterns like the human visual system
Robotics: produces mechanical devices capable of controlled motion and response to new perceptions

Stages of Artificial Intelligence

Stage 1: Machine Learning (ML) - algorithms for intelligent systems to learn from experience
Stage 2: Machine Intelligence - advanced algorithms for machines to learn from experience (e.g., Deep Neural Networks)
Stage 3: Machine Consciousness - self-learning experience without external data

History of Artificial Intelligence

1943: Warren McCulloch and Walter Pitts proposed a model of artificial neurons, marking the beginning of AI

Approaches to Artificial Intelligence

Cognitive Modeling

Develop computer-based systems that think like humans and emulate human reasoning power
Requires understanding of internal brain activities and human behavior in certain situations

Turing Test

Can machines act like humans and behave intelligently?
Operational test for intelligent behavior, involving human-level performance and interaction

Rational Thinking

A system is rational if it thinks and does the right thing through correct reasoning
Based on Aristotle's principles of correct arguments and thought structures for correct conclusions

Rational Agent Approach

Doing the right thing to achieve one's goal, given one's beliefs
AI is the study and construction of rational agents (perceiving and acting)

Applications of Artificial Intelligence

Solving problems that require human-like thinking, such as:
- Playing games (chess, checker, cards)
- Proving theorems (mathematical, laws of physics)
- Classifying text (politics, economics, sports, etc.)
- Information filtering and summarization
- Writing stories and poems, solving puzzles
- Giving advice in medical diagnosis, equipment repair, computer configuration, and financial planning

Description

Learn about how Artificial Intelligence enables computers to act like humans and the various sub-fields that have emerged within the AI domain, such as Natural Language Processing, Knowledge Representation, Automated Reasoning, and Machine Learning.