Gopher Concluded Phase One of Avant! AI

Moves into Phase Two - Semantic Segmentation Machine Learning System Development

SAN DIEGO, CA, July 10, 2018 (GLOBE NEWSWIRE) -- Gopher Protocol Inc. (OTCQB:GOPH) ("Gopher"), a company specializing in the creation of Internet of Things (IoT) and Artificial Intelligence enabled mobile technologies, is proud to announced that it successfully completed Phase 1 in the development of Avant! AI infrastructure. Gopher is now moving into Phase 2 - semantic segmentation machine learning system development.

Avant! AI engine infrastructure is the base foundation for the system and was successfully completed with advanced automation and manual features. This means that Avant! AI will be able to make its “own decisions” based on experience and also will be able to receive manual information by humans, in order to increase its knowledge base. In this way, Avant! AI has the capability to expand on its own and with the assistance of humans if necessary. This is an essential infrastructure feature in order to enable Avant! to learn from its experience and human experts as well. For example, Avant! will learn about Gopher GEO tracking technology and, in addition, Gopher's expert engineers will able to feed it additional information in order to enhance Avant! knowledge in the field. In addition, Avant! will be able to connect to other core AI engines to collaborate and share information across network, upon necessary permissions. 

Avant! development is now moving to the next phase, which is the development of its semantic segmentation machine learning engine. Semantic segmentation is a machine learning technique that enables the learning and identification the extent of individual objects within an image. Semantic segmentation gives machine learning computerized systems the human-like ability to analyze and understand the content of an image. It enables machine learning algorithms to locate the precise boundaries of objects and their details. One efficient usage of semantic segmentation is for autonomous driving machines or surveillance/security drones. For example, it enables computers to learn and identify streets objects, pedestrians, vehicles and other robotic driving related objects. In the medical field it can learn an image of a heart, liver, kidney or any other body organ in order to assist with a diagnostic or with medical procedures.

Dr, Danny Rittman. Gopher’s CTO provided "There are different types of semantic segmentation networks and our focus is to continue to seek to enable Avant! AI with a Fully Convolution Network (FCN) which by extending normal convolution network enables more efficient image analysis and object's identification. This approach, if successful, will enable the creation of wider range of parameters and, therefore, extending the capability of the machine learning system. Avant! AI engine is targeted to assist in a wide variety of topics within Gopher's technologies, among them is our GEO tracking system, autonomous machines, surveillance/military/security drones and others. We are working to equipped Avant! AI with the capabilities of recognizing environmental objects cognitively. This will make Avant! a truly deep learning system that gains extensive knowledge with time. The advanced semantic segmentation engine will provide Avant! with it's "eyes" to "see" and identify objects, exactly as a human sees a car and knows that it is a car and not anything else. It is a major step during Avant! development and will take many months. In parallel, we will continue with the development of Avant! other modules to make it a human-like AI independent entity." 

About Gopher Protocol Inc.

Gopher Protocol Inc. (OTCQB: GOPH) (“Gopher”) ( 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.

Corporate Site:
Press page/ press kit -
Consumer and product website for Guardian Patch:

About Guardian Pet Tracker

The Guardian Pet Tracker (Sphere Internal name - the "Sphere") system is a derivative technology of Gopher's Guardian Patch technology. The Sphere is designed to provide its users with local tracking capability using a re-chargeable/replaceable battery source. Gopher intends to release pre-production units in limited test in the near future.

GOPH disclosure: More info: SEC link /technology abstract:

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