Using a deep-learning model designed for high-dimensional data, KAUST researchers have shown that it is possible to predict emergency department overcrowding from complex hospital records. This ...

Conventional robots, like those used in industry and hazardous environments, are easy to model and control, but are too rigid ...

Implementing a deep autoencoder is possible but requires a lot of effort. A result from the Universal Approximation Theorem (sometimes called the Cybenko Theorem) states, loosely speaking, that a ...

A variational autoencoder (VAE) is a deep neural system that can be used to generate synthetic data. VAEs share some architectural similarities with regular neural autoencoders (AEs) but an AE is not ...

Deepfakes use deep learning artificial intelligence to replace, alter, or mimic someone's face in video or voice in audio. Business Insider Subscribe Newsletters ...