What is Artificial Intelligence - history of artificial intelligence - full AI course AIDB

Artificial Intelligence (AI) is the simulation of human intelligence processes by computer systems, enabling machines to perform tasks requiring human-like reasoning, learning, problem-solving, and decision-making. Through techniques like 

• Machine Learning

• Neural Networks

AI models process vast amounts of data to recognize patterns, generalize from examples, and make predictions or inferences to achieve specific goals, rather than being explicitly programmed for every scenario.

 

How AI Works

  Data & Algorithms:

AI systems learn from large datasets using statistical techniques and complex algorithms. 

  Machine Learning:

A core part of AI, where models are trained on data to learn from experience, identify patterns, and make predictions or decisions without being explicitly programmed for each situation. 

  Neural Networks:

A type of machine learning inspired by the human brain, with layered, interconnected structures that process data in a human-like manner. 

  Perceiving the Environment:

AI systems can perceive their environment through sensors (like cameras) or prepared data, process it, and then respond or act to achieve a specific goal. 

Key Abilities

  Seeing and Understanding: AI can analyze and understand both written and spoken language, and recognize images. 

  Pattern Recognition: It excels at identifying patterns, trends, and anomalies within massive datasets. 

  Problem-Solving: AI can be used to solve complex problems and make autonomous decisions. 

  Prediction: By learning from data, AI can predict future conditions and occurrences. 

Examples in Use 

  Self-driving cars: Use AI to navigate and make decisions on the road.

 Chess-playing computers: Demonstrate strategic thinking.

  Fraud detection: Identify suspicious patterns in financial transactions.

  Voice assistants: Understand spoken commands and provide relevant responses.