Abstract: A microprocessor executable method and system for determining the semantic relatedness and meaning between at least two natural language sources is described in a prescribed context. Portions of natural languages are vectorized and mathematically processed to express relatedness as a calculated metric. The metric is associable to the natural language sources to graphically present the level of relatedness between at least two natural language sources. The metric may be re-determined with algorithms designed to compare the natural language sources with a knowledge data bank so the calculated metric can be ascertained with a higher level of certainty.

Abstract: A microprocessor executable method and system for determining the semantic relatedness and meaning between at least two natural language sources is described in a prescribed context. Portions of natural languages are vectorized and mathematically processed to express relatedness as a calculated metric. The metric is associable to the natural language sources to graphically present the level of relatedness between at least two natural language sources. The metric may be re-determined with algorithms designed to compare the natural language sources with a knowledge data bank so the calculated metric can be ascertained with a higher level of certainty.

Abstract: A system provides the ability to predict the likelihood that applicants would accept admission into and matriculate at a given institution based on all or a portion of the natural-language text in their application. An embodiment evaluates an individual application to an institution and analyzes the natural-language text sections of the application to predict whether the applicant would or would not be likely to accept and matriculate at a specific institution.

Abstract: This invention provides the ability for an inventor to determine the probability of their invention being granted a patent. The invention disclosure and/or any type of patent document is classified before, during or after being filed by using any of the existing classification systems (e.g., CPC codes) or others such as a new and novel business vernacular classification system (as described as part of this disclosure). This newly created invention persona (classified document) is then compared to the existing patent database to discover granted patents that are similar and may be compared to other public and non-public databases to discover prior art. An analysis is then performed using various algorithms pertaining to the similarity of the classification by examining the branches, proximity, density etc. of the various assigned codes which will uncover the novelty, non-obviousness, and utility of the invention disclosure.

Abstract: A system and method for creating an intelligent agent model for providing an expert opinion on source data includes obtaining at least one first data source for training an intelligent agent model, receiving training input on the at least one first data source from an individual, extracting a set of relevant attributes of the at least one first data source based on the received training input, weighting the set of relevant attributes based on at least one of the received training input or prior received training input, forming at least one neural network that comprises the intelligent agent model based on the set of relevant attributes and the weighting, ranking or scoring at least one section of a second data source using the intelligent agent model, and outputting the ranking or scoring.

Abstract: A microprocessor executable method and system for determining the semantic relatedness and meaning between at least two natural language sources is described in a prescribed context. Portions of natural languages are vectorized and mathematically processed to express relatedness as a calculated metric. The metric is associable to the natural language sources to graphically present the level of relatedness between at least two natural language sources. The metric may be re-determined with algorithms designed to compare the natural language sources with a knowledge data bank so the calculated metric can be ascertained with a higher level of certainty.

Abstract: A microprocessor executable method transforms unstructured natural language texts by way of a preprocessing pipeline into a structured data representation of the entities described in the original text. The structured data representation is conducive to further processing by machine methods. The transformation process is learned by a machine learned model trained to identify relevant text segments and disregard irrelevant text segments The resulting structured data representation is refined to more accurately represent the respective entities.

Abstract: A microprocessor executable method and system for determining the semantic relatedness and meaning between at least two natural language sources is described in a prescribed context. Portions of natural languages are vectorized and mathematically processed to express relatedness as a calculated metric. The metric is associable to the natural language sources to graphically present the level of relatedness between at least two natural language sources. The metric may be re-determined with algorithms designed to compare the natural language sources with a knowledge data bank so the calculated metric can be ascertained with a higher level of certainty.

Abstract: A method for performing hierarchical classification of data is disclosed. The method is being executed by at least one processing device. The method includes receiving input data for encoding into multiple channels. Further, the method includes extracting one or more features and one or more temporal structures corresponding to the input data. The method further includes identifying one or more feature dependencies in the input data. Further, the method includes combining the extracted one or more features corresponding to the input data, the extracted one or more temporal structures of the input data, and the identified one or more feature dependencies in the input data into a combined feature set. Thereafter, the method includes classifying the combined feature set into one or more output classes, and thereby performing the hierarchical classification of data.

Abstract: A system and method for automatically comparing obtained wireless device location information from a wireless network and comparing that location with another independent source geographic location is provided. Location information is derived from two or more sources in a multiplicity of ways and a comparison is made within a Location Comparison Engine. The Location Comparison Engine makes use of databases that assist in resolving obtained raw positioning information and converting that positioning information into one or more formats for adequate location comparison. Results of location comparison are deduced to determine if the wireless device is in some proximity to some other activity source location. Other location information used for comparison may be obtained from a multiplicity of sources, such as another network based on some activity of wireless device user, another wireless device via a wireless network, or any system capable of providing location information to the Location Comparison Engine.

Abstract: A system and method provides transparency in an artificial intelligence based model. A talent data block reduces bias influencers, an algorithm block coupled to the talent data block provides time-stamped data; and a decisions block coupled to the talent data and algorithm blocks allows auditing of decisions using the time-stamped data.

Abstract: A system and method for creating an intelligent agent model for providing an expert opinion on source data includes obtaining at least one first data source for training an intelligent agent model, receiving training input on the at least one first data source from an individual, extracting a set of relevant attributes of the at least one first data source based on the received training input, weighting the set of relevant attributes based on at least one of the received training input or prior received training input, forming at least one neural network that comprises the intelligent agent model based on the set of relevant attributes and the weighting, ranking or scoring at least one section of a second data source using the intelligent agent model, and outputting the ranking or scoring.

Abstract: A microprocessor executable method transforms unstructured natural language texts by way of a preprocessing pipeline into a structured data representation of the entities described in the original text. The structured data representation is conducive to further processing by machine methods. The transformation process is learned by a machine learned model trained to identify relevant text segments and disregard irrelevant text segments The resulting structured data representation is refined to more accurately represent the respective entities.

Abstract: A system and method for automatically comparing obtained wireless device location information from a wireless network and comparing that location with another independent source geographic location is provided. Location information is derived from two or more sources in a multiplicity of ways and a comparison is made within a Location Comparison Engine. The Location Comparison Engine makes use of databases that assist in resolving obtained raw positioning information and converting that positioning information into one or more formats for adequate location comparison. Results of location comparison are deduced to determine if the wireless device is in some proximity to some other activity source location. Other location information used for comparison may be obtained from a multiplicity of sources, such as another network based on some activity of wireless device user, another wireless device via a wireless network, or any system capable of providing location information to the Location Comparison Engine.

Abstract: A microprocessor executable method and system for determining the semantic relatedness and meaning between at least two natural language sources is described in a prescribed context. Portions of natural languages are vectorized and mathematically processed to express relatedness as a calculated metric. The metric is associable to the natural language sources to graphically present the level of relatedness between at least two natural language sources. The metric may be re-determined with algorithms designed to compare the natural language sources with a knowledge data bank so the calculated metric can be ascertained with a higher level of certainty.

Abstract: A cellular messaging network includes a switching controller connected to the wireless telephone network. One or more base station micro/picocell retransmitters are coupled to the switching controller. The base station micro/picocell transmitter uses simplified control equipment having no digital traffic channel capability. Each base station micro/picocell retransmitter is able to discriminate between voice channel assignment signals and short messaging signals in the digital control channel, discard the voice channel assignment signals, and rebroadcast the short messaging signals in the digital control channel. One or more receivers are coupled to the base station micro/picocell retransmitters by way of an IS-136 protocol digital control channel. The base station micro/picocell retransmitter can be connected to the switching controller through a twisted-pair telephone line.

Abstract: Embodiments of the present invention relate to apparatus and methods to provide power to a communications unit. In one embodiment of the present invention, a system includes a first communications network to engage in communications with the communications unit and a second communications network to provide power to the communications unit.

Abstract: Embodiments of the present invention relate to apparatus and methods to provide power to a communications unit. In one embodiment of the present invention, a system includes a first communications network to engage in communications with the communications unit and a second communications network to provide power to the communications unit.

Abstract: A cellular messaging network includes a switching controller connected to the wireless telephone network. One or more base station micro/picocell retransmitters are coupled to the switching controller. The base station micro/picocell transmitter uses simplified control equipment having no digital traffic channel capability. Each base station micro/picocell retransmitter is able to discriminate between voice channel assignment signals and short messaging signals in the digital control channel, discard the voice channel assignment signals, and rebroadcast the short messaging signals in the digital control channel. One or more receivers are coupled to the base station micro/picocell retransmitters by way of an IS-136 protocol digital control channel. The base station micro/picocell retransmitter can be connected to the switching controller through a twisted-pair telephone line.

Abstract: A cellular messaging network includes a switching controller connected to the wireless telephone network. One or more base station micro/picocell retransmitters are coupled to the switching controller. The base station micro/picocell transmitter uses simplified control equipment having no digital traffic channel capability. Each base station micro/picocell retransmitter is able to discriminate between voice channel assignment signals and short messaging signals in the digital control channel, discard the voice channel assignment signals, and rebroadcast the short messaging signals in the digital control channel. One or more receivers are coupled to the base station micro/picocell retransmitters by way of an IS-136 protocol digital control channel. The base station micro/picocell retransmitter can be connected to the switching controller through a twisted-pair telephone line.