Arm Limited

Cerfe Labs, Inc.

Naveen Suda

Shidhartha Das

Carlos Alberto Paz De Araujo

Lucian Shifren

Vikas Chandra

Brian Tracy Cline

Saurabh Pijuskumar Sinha

Danny Loh

Eric Kunze

Lingchuan Meng

Ahmet Fatih Inci

Broadly speaking, the present techniques exploit the properties of correlated electron materials for artificial neural networks and neuromorphic computing. In particular, the present techniques provide apparatuses/devices that comprise at least one correlated electron switch (CES) element and which may be used as, or to form, an artificial neuron or an artificial synapse.

Correlated electron switch elements for brain-based computing

The present disclosure advantageously provides a heterogenous system, and a method for generating an artificial neural network (ANN) for a heterogenous system. The heterogenous system includes a plurality of processing units coupled to a memory configured to store an input volume. The plurality of processing units includes first and second processing units. The first processing unit includes a first processor and is configured to execute a first ANN, and the second processing unit includes a second processor and is configured to execute a second ANN. The first and second ANNs respectively include an input layer, at least one processor-optimized hidden layer and an output layer. The second ANN hidden layers are different than the first ANN hidden layers.

Specializing neural networks for heterogeneous systems

Broadly speaking, embodiments of the present technique provide a neuron for a spiking neural network, where the neuron is formed of at least one Correlated Electron Random Access Memory (CeRAM) element or Correlated Electron Switch (CES) element.

Spiking neural network

Growing community of inventors

San Jose, CA, United States of America

Naveen Suda