Computer systems and methods generate a stochastic categorical autoencoder learning
network (SCAN). The SCAN is trained to have an encoder network that outputs, subject to …

In some embodiments, an apparatus includes a memory and a processor operatively
coupled to the memory. The proces sor is configured to identify a feature vector for a …

Aspects of the disclosure relate to a method for discovering latent factors from data in a
neural network environment. Aspects include adding, by a data noise unit of the neural …

In some embodiments, a processor can receive an input string associated with a potentially
malicious artifact and convert each character in the input string into a vector of values to …

Apparatus and methods describe herein, for example, a process that can include receiving a
potentially malicious file, and dividing the potentially malicious file into a set of byte …

A measurement apparatus comprising an acquisition memory adapted to store data sections
of at least one acquired measurement signal; a processor adapted to calculate a …

A motor of an electric submersible pump (ESP) is positioned in a wellbore. Measured data is
received from one or more sensors. A first deep learning model running on a motor …

The processor can provide the score for the convolution matrix as an input to a machine
learning threat model, identify the potentially malicious artifact as malicious based on an …

In some embodiments, a processor can receive an input string associated with a potentially
malicious artifact and convert each character in the input string into a vector of values to …

Apparatus and methods describe herein, for example, a process that can include receiving a
potentially malicious file, and dividing the potentially malicious file into a set of byte …