Patents by Inventor Bram Ernst Verhoef

Bram Ernst Verhoef has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20200193297
    Abstract: Prediction and training methods using recurrent neural networks are disclosed. In one aspect, the prediction method provides a sequence of input data applicable to a plurality of input connections, a plurality of hidden layer connections, and an ordered sequence of hidden layers comprising at least one recurrent hidden layer. Each hidden layer connection has an associated binary-valued hidden layer weight and each input connection is associated with a binary-valued input weight. For each time step, a derived hidden state vector is binarized in each hidden layer and a binary-valued vector representation of a next input datum of the input data sequence is applied to the input connections. For each hidden unit input, a first sum of connected weighted hidden states and a second sum of connected weighted input data is computed and linearly combined to determine an input state.
    Type: Application
    Filed: December 16, 2019
    Publication date: June 18, 2020
    Inventor: Bram Ernst Verhoef