The ability of a machine to think and learn like a human

The study of human intelligence

The development of computer systems that can perform tasks that normally require human intelligence

The use of computers to solve problems that are too complex for humans to solve

John McCarthy

Marvin Minsky

Claude Shannon

Alan Turing

Machine Learning

Deep Learning

Natural Language Processing

Quantum Computing

A test to determine if a machine can exhibit intelligent behavior indistinguishable from a human

A test to measure the intelligence of a human

A test to evaluate the performance of an AI system

A test to determine if a machine is conscious

A self-driving car

A general AI that can perform any intellectual task that a human can

A chess-playing program

A robot that can perform surgery

In supervised learning, the AI system is trained on labeled data, while in unsupervised learning, the AI system is trained on unlabeled data

In supervised learning, the AI system learns from examples, while in unsupervised learning, the AI system learns from experience

In supervised learning, the AI system is trained on a specific task, while in unsupervised learning, the AI system is trained on a general task

In supervised learning, the AI system is trained by a human, while in unsupervised learning, the AI system is trained by itself

To learn a policy that maximizes the expected reward

To learn a policy that minimizes the expected loss

To learn a policy that minimizes the expected error

To learn a policy that maximizes the expected accuracy

Machine translation

Image recognition

Speech recognition

Handwriting recognition

The lack of transparency and explainability in AI systems

The potential for AI systems to be biased

The risk of AI systems being used for malicious purposes

The possibility of AI systems becoming conscious

Increased efficiency and productivity

Improved healthcare and medical diagnosis

Enhanced creativity and innovation

All of the above