New Release Includes User Authentication, History Saving & New Sentence Embedding Method
San Diego, CA, Dec. 18, 2018 (GLOBE NEWSWIRE) -- via NEWMEDIAWIRE -- Gopher Protocol Inc. (OTCQB: GOPH) ("Gopher”), a company specializing in the development of Internet of Things (IoT) and Artificial Intelligence enabled mobile technologies, including a global mesh network technology platform for both mobile and fixed solutions, announced today it released Avant! AI new version according to schedule. The new release includes user authentication, history saving and a new sentence embedding method which is a derivative of the InferSent method.
The InferSent method is a sentence embedding technique that provides semantic sentence representations. It is trained on natural language inference (NLI) data, which means asking questions in natural language. Modern NLP (Natural Language Processing) systems rely on word embedding as base feature to capture relationships among multiple words and phrases in a single vector.
Gopher’s Avant! AI’s new sentence embedding system encapsulates advanced, proprietary methods in order to extract text and "understand" its meaning. The new system includes general-purpose sentence embedding and captures generic information that is useful for a broad set of question types. Using this system, Avant! will be able to "understand" the meaning of general sentences (Questions) in natural language, faster and with higher accuracy. Equipped with this new semantic sentence encoder, Avant! will be able to search for related texts, perform faster identification of text chunks and about its meanings in order to provide the user faster and more accurate answers. Avant! will be able to check for sentences similarities under supervised training and skip through parts that are irrelevant. The end result is a robust NLI (Natural Language Interface) for question presentations and accurate/effective answers in virtually real-time.
In addition, the new release includes upgrades due to overwhelming public interest. Last week Avant!’s servers crashed due to unexpected large number of users that asked questions at the same time. In order to accommodate the demand, Gopher has upgraded Avant! to handle vast numbers of simultaneous users. The new release also includes a personal sign-up and authentication mechanism to enable individual logins and keep information private. In addition, the new version keeps the user’s previous Q/A history for the user's benefits.
"We have exciting news regarding our Avant! AI’s new version that includes new updates. The major one is a user sign-up and authentication feature to enable a user to keep their question history for future use. All with strong privacy and security. In the new version, Avant! will be able to "understand" sentences better and faster (Questions), identify topics in related resources (the internet and external documentation), and find/assemble the best, most relevant answer. These new features can be compared to a higher level of language education. In simple terms, for users this means the best answers with the highest accuracy for their questions!" stated Danny Rittman, Gopher CTO.
About Gopher Protocol Inc.
Gopher Protocol Inc. (OTCQB: GOPH) (“Gopher”) (http://gopherprotocol.com/) is a development-stage company which considers itself a native IoT creator, developing Internet of Things (IoT) and Artificial Intelligence (AI) enabled mobile technology platforms. Gopher has a portfolio of Intellectual Property that, when commercialized, will include smart microchips, mobile and security applications and protocols, and supporting cloud software. Gopher’s system envisions the creation of a global mesh network. The core of the system will be its advanced microchip technology that can be installed in any mobile or fixed device worldwide. Gopher envisions this system as a low-cost, secure, private mesh network between any enabled devices, providing shared processing, advanced mobile database management/sharing and enhanced mobile features as an alternative to traditional carrier services.
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