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CORRECTION: GBT Technologies Successfully Completes AI Robotic Research
CORRECTION: GBT Technologies Successfully Completes AI Robotic Research.
About this update from Gbt Technologies Inc.
[{"type":"text","content":"\n In a release issued under the same headline on August 20th by GBT Technologies Inc., the (OTC PINK: GOPHD) ticker was used instead of (OTC PINK: GTCH) throughout the release. SANTA MONICA, Calif., Aug. 21, 2019 (GLOBE NEWSWIRE) -- GBT Technologies Inc. (OTC PINK: GTCH) (\"GBT”, or the “Company”), a company specializing in the development of Internet of Things (IoT) and Artificial Intelligence (AI) enabled networking and tracking technologies, including its GopherInsight™ global mesh network technology platform for both mobile and fixed solutions, is pleased to announce that it has successfully completed another milestone in its AI development.  In this milestone, using a complex robot, GBT has achieved the goal of a “self-learning” machine. Typical machine learning needs humans to tell it how to make accurate predictions using specific data that it is given. GBT’s Avant! AI System is designed to function like a human brain using deep learning algorithms, based on RNN (Recurrent Neural Network) to process the information resulting in self-learning without specific direction from humans.  In a successful proof of concept trial, GBT’s Avant! AI technology was implemented in a robot to enable it to process information and reach conclusions on its own (making it a self-learning system). This is the first step in GBT's Avant! AI implementation to enable an autonomous machine. With further development, GBT believes it can be implemented in any type of robotic, unmanned or automated system with the goal of enabling a wide variety of intelligent applications in our daily lives. \"We call this stage the self-learning stage. Here, we successfully gave a complex machine the ability to learn without being explicitly programmed. The robot can be trained to perform tasks. It will learn from its performance in order to improve on it over time, exactly as a human would do.  In addition, the robot will continuously improve its knowledge through online data research and other data resources for ways to improve task performance using GBT’s knowledge extraction technology,” stated Danny Rittman, GBT’s CTO.  Douglas Davis, the Company’s CEO added: “This robot is not a rules-based system but a true learning entity. It can learn by being train...