Artificial Intelligence - Week 13

A branch of computer science aiming to create computers that act like humans.

A test to see if a computer can exhibit human-like intelligence.

British mathematician who proposed the Turing Test.

Original name for Turing's Test.

Mimicking human thought, understanding speech, and solving challenging problems like playing chess.

AI's development, from ancient ideas to modern achievements.

AI's capabilities compared to human and traditional information processing.

AI's drawbacks when considering human and traditional information processing.

Computer programs designed to mimic human experts by applying knowledge and rules to solve problems in specific domains.

A type of expert system that categorizes information into predefined classes based on multiple sources of data.

An example of heuristic classification where a system analyzes information about cardholders, purchases, and merchants to identify potential fraudulent transactions.

A search engine that provides quick answers, detailed insights, and information retrieval from various sources.

A research platform that allows users to search through millions of research papers and get AI-generated summaries and insights.

An AI-powered tool for creating and sharing quizzes based on any text, ideal for studying and test preparation.

A platform with AI features for creating and sharing presentations, documents, and web pages. It offers content editing, image search, and reformatting capabilities.

A tool that allows users to create interactive video lessons by embedding questions, notes, and audio into videos.

Using AI to improve work processes, making tasks more efficient and freeing up human workers for more strategic roles.

The way the workforce needs to adapt and learn new skills because of AI integration and automation.

Acquiring new skills or improving existing skills to meet changing work demands.

AI creating new jobs and industries related to its capabilities.

When AI systems make decisions that are unfair or discriminatory based on the data they are trained on.

Protecting sensitive information collected by AI systems, ensuring it is only used ethically and with permission.

AI working alongside humans to enhance their capabilities and improve decision-making.

The ongoing development of new and more powerful AI technologies.

The use of AI to program computers to play games like chess and checkers.

Technology that allows computers to understand and respond to human speech.

The ability of computers to understand and interact with human language in a natural way.

The ability of computers to interpret and understand images and videos like humans do.

AI is used to create intelligent game-playing programs that can compete with humans.

Although promising, creating computers that understand natural language has been more difficult than anticipated.

AI has the ability to drastically change industries, improve decision-making, and address global challenges.

Machine learning enables computers to learn from data without explicit programming, using algorithms to improve performance over time.

The first step in ML is gathering and preparing large amounts of data to train the models.

Advanced algorithms are applied to the data to allow the model to learn patterns and make predictions.

Once trained, the ML model is integrated into real-world applications to solve specific problems.

NLP enables AI to comprehend and analyze human language, including nuances and context.

Developing AI systems that can engage in natural and intuitive conversations, like chatbots and virtual assistants.

AI can identify and classify objects, people, and scenes within digital images.