Artificial Narrow Intelligence (ANI) is a type of artificial intelligence that focuses on a single task.

Unsupervised learning is a type of machine learning where the algorithm is trained on a dataset that does not have any labeled outcomes.

Python, a programming language developed in the 1980s, has emerged as a fundamental tool in the modern digital landscape.

Machine translation is a subfield of computational linguistics that uses software to translate text or speech from one language to another.

The accelerating pace of change in the technology sector.

A Variational Autoencoder (VAE) is a type of artificial neural network used in the field of machine learning for the purpose of generating new data.

A recurrent neural network (RNN) is a type of neural network that is designed to handle sequences of data.

Machine learning is a subset of artificial intelligence (AI) that enables computers to learn from experience and improve over time.

Supervised learning is a type of machine learning algorithm that involves learning from a set of training data that has been labeled with the correct answers.

Reinforcement learning is a subfield of machine learning, concerned with how software agents can learn to behave in complex, uncertain environments. It relies on feedback from the environment in order to improve the agent's behavior.

A human-computer interface is the point of contact between a human user and a computer system.

Abstraction is a widely used concept in artificial intelligence to manage the use of different levels of detail in a representation language or the ability to switch between levels while preserving important characteristics.