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Gopher Concluded White Paper Addressing the gNETcar Project Within Autonomous Vehicles
Gopher Concluded White Paper Addressing the gNETcar Project Within Autonomous Vehicles.
About this update from Gbt Technologies Inc.
[{"type":"text","content":"\n\n Reveal Update on Prototypes for Indiegogo Project\n SAN DIEGO, CA, March 21, 2018 (GLOBE NEWSWIRE) -- Gopher Protocol Inc. (OTCQB: GOPH) (\"Gopher\"), a development-stage company which specializes in the creation of Internet of Things (IoT) and Artificial Intelligence - enabled mobile technologies, proudly announces it concluded its in-house research white-paper addressing the implementation of Gopher's technology within autonomous vehicles. As announced on February 22, 2018 (https://www.otcmarkets.com/stock/GOPH/news/Gopher-Reports-New-RD-Efforts-for-its-AI-Mesh-Technology-Autonomous-Driving-Tracking-and-Safety?id=184086), Gopher engaged a third party to research and test its MESH network technology for use in autonomous driving tracking and safety applications. Gopher’s core tracking technology is based on Artificial Intelligence data in real-time and is currently implemented in its pet tracking device. The MESH network is a communications network intended to be made up of radio nodes organized in a mesh topology. A mesh refers to rich interconnection among devices or nodes. Wireless mesh networks often consist of mesh clients, mesh routers and gateways.   As part of this effort, Gopher conducted its own in-house research for its gNETcar project resulting in a White Paper proprietary information and detailing how Gopher’s proprietary information may improve autonomous cars’ safety and overall autonomous control. Gopher is working to produce a demonstration video about the topic. CTO, Dr. Rittman said, “As I said before, currently we are in the process of defining, adapting and testing our advanced MESH network architecture to be implemented within autonomous driving systems. We intend to provide further details in the future assuming we are able to successfully complete the development and testing of the MESH network.” Dr. Rittman continued, “Our MESH network includes AI, deep learning methodology, which we believe will allow cars to rapidly and adaptably scale to safely handle situations as conditions change.” Gopher’s core tracking technology is based on Artificial Intelligence data in real-time and is currently implemented in its pet tracking device as an update pertaining to the status of the development of the commercial pet tracker prototypes, it has weighed ...