#Tech / #AI News: Gopher Protocol (OTCQB: $GOPH) Developing Avant! AI Advanced Semantic Proximity System
San Diego, CA - November 1, 2018 (Investorideas.com Newswire) Gopher Protocol Inc. (OTCQB: GOPH) ("Gopher"), a company specializing in the creation of Internet of Things (IoT) and Artificial Intelligence enabled mobile technologies, including a global platform with both mobile and fixed solutions, started developing Avant! AI advanced semantic proximity system.
Global data is being generated in a variety of formats, and at a rate that shows no signs of slowing down. Identifying information that can support decision making among sources; for example, thousands of documents, web pages and social media feeds is a complex and time-consuming process. Because it’s simply too much to read quickly, this information is often ignored or only partially used to support organizational processes. Textual analytics help people digest text data more efficiently.
Semantic proximity is a topic that belongs to context textual analytics. Semantic proximity is a calculation of the semantic “distance” between two entities within a sentence providing the ability to determine meanings. Avant! AI includes dynamic models to measure a sentence's structural proximity for knowledge extraction and link predictions. The technology enables measurement and prediction and allows for the elicitation, in particular, of data from textual, verbal and multimedia sources of heterogeneous information.
The engine will be capable to analyze the information and relationships in its semantic context, and among other textual/verbal/multimedia objects in order to extract the relevant structural knowledge and meanings. The advanced algorithm is analyzing contexts in order to narrow down structures and find the exact topic. In addition, the technique improves the performances of meanings recognitions such as disambiguation of entities, query expansion, emotion recognition and multimedia retrieval. A typical semantic proximity technology is used to compute attributes of textual information only.
Avant! system is a private derivative that expands the concept and includes much broader range of analytics and recognition of textual, verbal and multimedia entities.
"We are creating a new world of textual, verbal and multimedia analytics and recognition systems," stated Dr. Danny Rittman, Gopher’s Chief Technology Officer. "One of the main problems that emerges in the classic approach to semantics is the difficulty in acquisition and maintenance of ontologies and semantic annotations. Especially in our advanced world, when almost everything is done via verbal commands, it is important to enable ease of use and user friendly interface.
In the near future, interacting with our Avant! AI is expected to be done via voice commands in natural language (NLP) fashion. It is expected that users will be able simply to talk with Avant! and it needs to understand them correctly. The Avant! advanced semantic proximity system is designed to calculate for each entity in each sentence, then to generate proximity scores to be added together producing an overall proximity score for each entity for the entire set of source texts. This information will be used later to extract the sentence knowledge and meaning even emotions.
The same concept will be applied to verbal or multimedia sources. A complete entity is an ordering of entities in the sentence that follow a predefined logical sequence. The data is passed through another algorithm to analyze its grammar and meaning semantics, creating corpus data that Avant! can process. All this analysis is done in a blink of an eye so Avant! will be able to understand natural language sentences and respond accordingly and accurately."
About Gopher Protocol Inc.
Gopher Protocol Inc. (OTCQB: GOPH) (“Gopher”) (http://gopherprotocol.com/) is a development-stage company which consider itself Native IoT creator, developing Internet of Things (IoT) and Artificial Intelligence enabled mobile technology. Gopher has a portfolio of Intellectual Property that when commercialized will include smart microchips, mobile application software and supporting cloud software. The system contemplates the creation of a global network. The core of the system will be its advanced microchip technology that can be installed in any mobile device worldwide. Gopher envisions this system as an internal, private network between all enabled mobile devices providing shared processing, advanced mobile database management/sharing and enhanced mobile features.
Forward-Looking Statements
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