It is primarily focused on hardware development.

It requires explicit programming for every task.

It allows systems to learn from data and improve over time without being explicitly programmed.

It can only be applied to structured data.

AI may displace a significant number of workers globally.

AI will reduce the need for training and education.

AI will improve job satisfaction for all employees.

AI will only create new job opportunities.

AI will reduce operational costs significantly.

AI will enhance customer service only.

AI will replace all human workers.

AI will boost productivity.

It is only applicable to clustering tasks. 

It involves training a model on labeled data to make predictions.

It learns patterns without any human intervention.

It does not use labeled data for training.

Facilitating the training and deployment of complex AI models.

Accelerating the creation of images and videos.

Running basic office applications efficiently.

Developing operating systems for personal computers.

It involves the extraction of useful information from large datasets to aid decision-making.

It only refers to data stored in databases.

It requires no special tools for processing.

It is characterized by high volume, velocity, veracity and variety.

Strong AI is designed to understand and reason like a human, while weak AI is focused on specific functions without true understanding.

Strong AI is a theoretical concept, while weak AI is currently in use.

Weak AI can learn independently, while strong AI cannot.

Strong AI can perform specific tasks, while weak AI possesses general intelligence.

Creating hyper-realistic fake images or videos

Automating routine customer service inquiries

Developing personalized marketing strategies

Analyzing large data sets for insights

Traditional printed newspapers

Online transaction systems

Social media platforms

E-banking systems

John McCarthy

Alan Turing

Marvin Minsky

Herbert Simon