Technology

A variational autoencoder is a probabilistic generative model that learns latent representations and approximate inference jointly through a variational training objective.

Variational inference approximates complex probability distributions by optimizing a tractable family of distributions, enabling scalable Bayesian computation.

A neural-network architecture that represents images as sequences of patches and processes them with Transformer layers for visual recognition and representation learning.

A wheel is a circular part that turns on an axle. It reduces friction in transport and passes on force in machines, and it dates to about the 4th millennium BCE.

The World Wide Web is a global information system of linked resources accessed through browsers and other software over the Internet.