Variational Autoencoders (VAE)

Variational Autoencoders are a type of generative model used in unsupervised learning. VAEs learn a low-dimensional representation of input data and can generate new data samples similar to the training data. They have applications in tasks such as image generation, anomaly detection, and data compression.

Virtual Assistant

A Virtual Assistant (or Virtual Agent) is an AI-powered software or application that performs various tasks and assists users with their daily activities. It uses Natural Language Processing and Machine Learning algorithms to understand and respond to user queries, helping with tasks like scheduling, reminders, and information retrieval.

Virtual Reality

Virtual Reality (VR) allows users to experience and interact with artificial, computer-generated environments. By immersing users in virtual worlds, businesses can create engaging and immersive experiences for training, entertainment, and product visualisation.

Viterbi Algorithm

The Viterbi Algorithm is a dynamic programming algorithm used in sequence analysis, such as speech recognition and Natural Language Processing. It finds the most likely sequence of hidden states given an observed sequence, using a probabilistic model known as a Hidden Markov Model (HMM.)