Artificial Intelligence is the ability of machines to do tasks that normally require human intelligence.

We refer to the principles and values guiding the development and use of AI to ensure responsible and ethical use as AI Ethics.

Big data: A large amount of information that is collected and analyzed by computer systems.

Chatbots: AI systems that can converse with humans through text or voice.

Computer vision: A type of AI that allows a computer to interpret and understand visual information, like images and videos.

Deep learning: A type of machine learning that uses neural networks with many layers to analyze complex data.

Expert system: A type of artificial intelligence that uses rules and logic to solve problems.

Facial recognition: An AI technology that can recognize and identify faces.

Genetic algorithms: An AI technique that uses a process similar to natural selection to solve problems.

Humanoid robot: A robot designed to resemble a human.

Internet of Things (IoT): A network of devices that are connected to the internet and can communicate with each other.

Job automation: The use of AI to perform tasks that were previously done by humans.

Knowledge base: A database of information used by expert systems to make decisions.

Machine learning is an AI technique that helps computers learn and improve without programming.

Machine Learning: A technique that allows machines to improve their performance on a task through experience.

Neural Networks: A type of AI that is modeled after the structure of the human brain. 

Natural language processing: A type of AI that allows a computer to understand and interpret human language.

Object recognition: An AI technology that can identify and classify objects in images.

Predictive analytics: An AI technology that uses data and statistical algorithms to make predictions about future events.

Quantum computing: A type of computer that uses quantum physics to perform calculations.

Robotics: The study of robots and their design, construction, and operation.

Speech recognition: An AI technology that can recognize and transcribe human speech.

Sentiment analysis: A type of natural language processing that can determine the emotional tone of written or spoken language.

Turing test: A test used to determine if a computer can think like a human.

Unsupervised learning: machine learning that does not require instruction..

Virtual assistant: An AI technology that can assist users with tasks such as scheduling and email management.

Watson: A computer system developed by IBM that uses artificial intelligence to answer questions.

XAI (Explainable AI): A type of AI that can explain how it is particularly decided.

YOLO (You Only Look Once): An object detection system used in computer vision and image processing.

Zero-shot learning: A type of machine learning that allows computer systems to recognize and classify objects that we have not trained them on.