107 results about "Network Computing System" patented technology

A networked computing system for optimizing network channel resources. The system includes a sender device, user equipment, a congestion sensing agent, a data transfer agent, and a data communications network facilitating data communications amongst all devices of the system. The networked computing system is configured to detect a portion of channel traffic that is associated with a first data type, detect a portion of the channel traffic that is associated with a second data type, and determine whether to modify at least one data transfer of the second data type based on a comparison of the portions of the channel traffic associated with the first data type and the second data type. The first data type may relate to either voice data communications or another high priority data type, and the second data type may relate to a media content file type.

The disclosure discloses a neural-network computing system. The system includes: an I / O interface, which is used for I / O of data; a memory, which is used for temporarily storing a multi-layer artificial-neural-network model and neuron data; an artificial-neural-network chip, which is used for executing multi-layer artificial-neural-network operation and a back-propagation training algorithm thereof, wherein data and a program from a central processing unit (CPU) are accepted, and the above-mentioned multi-layer artificial-neural-network operation and the back-propagation training algorithm thereof are executed; the central processing unit CPU, which is used for data transportation and starting / stopping control of the artificial-neural-network chip, is used as an interface of the artificial-neural-network chip and external control, and receives results after execution of the artificial-neural-network chip. The disclosure also discloses a method of applying the above-mentioned system forartificial-neural-network compression encoding. According to the system, a model size of an artificial neural network can be effectively reduced, data processing speed of the artificial neural network can be increased, power consumption can be effectively reduced, and a resource utilization rate can be increased.

A networked computing system for assigning regional wireless communications based on ancillary device feedback. The network computing system includes a radio communications controller, one or more transceiver device(s), user equipment, and data communications network facilitating data communications amongst the wireless communications devices of the networked computing system. The radio communications controller may be configured to receive a feedback communication from a network transceiver device capable of detecting ancillary wireless communications, and then determine whether an alternate service provider resource exists for providing wireless data communications service to the user equipment within the data communications network, based on the received feedback communication.

A server computer and a multitude of client computers form a network computing system that is scalable and adapted to continue to evaluate the performance characteristics of a number of genes generated using a software application running on the client computers. Each client computer continues to periodically receive data associated with the genes stored in its memory. Using this data, the client computers evaluate the performance characteristic of their genes by comparing a solution provided by the gene with the periodically received data associated with that gene. Accordingly, the performance characteristic of each gene may be updated and varied with each periodically received data. The performance characteristic of a gene defines its fitness. The genes may be virtual asset traders that recommend trading options, and the data associated with the genes may be historical trading data.

A server computer and a multitude of client computers form a network computing system that is scalable and adapted to continue to evaluate the performance characteristics of a number of genes generated using a software application. Each client computer continues to periodically receive data associated with the stored genes stored in its memory. Using this data, the client computers evaluate the performance characteristic of their genes by comparing a solution provided by the gene with the periodically received data associated with that gene. Accordingly, the performance characteristic of each gene may be updated and varied with each periodically received data. The performance characteristic of a gene defines its fitness. The genes may be virtual asset traders that recommend trading options. The genes may be assigned initially to different classes to improve convergence but may later be decided to merge with genes of other classes to improve diversity.