These subfields have been particularly influential, enabling AI systems to learn from data and improve their performance over time.

Machine Learning And Deep Learning

AI powers the perception, decision-making, and control systems of autonomous vehicles.

Self Driving Cars

Initial efforts focused on creating machines that could solve mathematical problems and play games.

Early AI ( 1950s - 1960s )

Advances in hardware, algorithms, and data availability fueled a renewed interest in AI.

Resurgence ( 1990s )

<ol><li>Image recognition</li><li>Object detection</li><li>Facial recognition</li></ol>

Computer Vision

AI systems can learn from experience and adapt to new situations.

Learning And Adap

AI is the simulation of human intelligence in machines, especially computer systems. It involves tasks that typically require human intelligence, like learning, reasoning, problem-solving, perception, and language understanding.Goal: To create intelligent agents that can reason, learn, and act autonomously.

What Is?...

AI can identify patterns in large datasets that humans might miss.Automation: AI can automate tasks, freeing up human time and resources.AI has the potential to revolutionize various industries and improve our lives in countless ways.

Pattern Recognition

Lack of computational power and unrealistic expectations led to a period of decreased funding and interest.

Wintar AI ( 1970s - 1980s

AI can assist doctors in diagnosing diseases by analyzing medical images and patient data.

Medical Diagnosis

They can solve complex problems that would be difficult or impossible for humans.

Problem Solving

<ol><li>Suggesting products</li><li>Movies</li><li>Music based on user preferences.</li></ol>

Recommended System

<ol><li>Chatbots</li><li> Language translation</li><li> Sentiment analysis.</li></ol>

Early AI ( 1950s - 1960s )

Similar ideas to Early AI ( 1950s - 1960s )

The concept of AI originated in the 1950s

Psychology: Early Schools of Thought

Applying the First Principles Thinking