System, network and method for selective activation of a computing network

Abstract

Embodiments of the present disclosure implement a stochastic neural network (SNN) where nodes are selectively activated depending on the inputs and which can be trained on multiple objectives. A system can include one or more nodes and one or more synapses, wherein each synapse connects a respective pair of the plurality of nodes. The system can further include one or more processing elements, wherein each of the processing elements is embedded in a respective synapse, and wherein each of the processing elements is adapted to receive an input and generate an output based on the input. The system can be configured to operate such that, upon receipt of a first problem input, a first subset of the nodes in the system is selectively activated. Upon receipt of a second problem input, a second subset of the nodes is selectively activated. The second subset of nodes can be different from the first subset of nodes. In various embodiments, the first and second subsets of nodes can be selectively activated in parallel.

Dependencies are inferred from the claim text.