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GBT Technologies Inc. reports developments in artificial intelligence, Internet of Things and intelligent platform technologies through its OTC Pink-traded public-company updates. Recent company news centers on wholly owned subsidiaries that extend its platform into automated wellness retail and digital media.
Recurring themes include Cube Wellness Technologies, which deploys AI-enabled smart wellness machines for university, workplace and community environments, and Cube X Media Corporation, which creates digital advertising, vertical video and cinematic content for distribution across interactive machine networks. Updates also cover subsidiary formation, leadership and board appointments, material agreements, capital-structure matters and operating results.
GBT Technologies Inc. (OTC PINK: GTCH) has filed a continuation application for a patent concerning AI-driven facial and body recognition technology with the US Patent and Trademark Office. Filed on December 5, 2022, this application seeks to enhance the identification of human features using machine learning. The technology aims to improve security functions such as unlocking devices and tracking biometric changes over time. GBT plans to invest further in R&D for applications in health, security, and entertainment. However, the company faces risks in securing patents and funding for development.
GBT Technologies Inc. (OTC PINK: GTCH) announced the approval of its non-provisional patent application for a method to automate the generation of reusable integrated circuit (IC) layout blocks, known as Phi. This innovation aims to reduce the design time and costs associated with microchip development by allowing designers to use pre-made layout blocks in future projects. Filed on September 27, 2022, the patent was expedited on November 7, 2022. However, successful implementation depends on securing funding and partnerships for commercialization.
GBT Technologies Inc. (GTCH) announced the successful completion of its GEN II long-range radio project, named Infinia, aimed at eliminating communication dead zones. The system utilizes Software Defined Radio (SDR) technology for voice and data transmission, leveraging HF radio waves to enable reliable communication across challenging terrains and conditions. Although the tests were successful, the company highlighted the need for further research, capital raising, and strategic partnerships for commercialization. There are no guarantees of success in the future development and implementation of this technology.
GBT Technologies Inc. (OTC PINK: GTCHD) announced the publication of its patent application for a microchip reliability verification system, codenamed Epsilon. This innovative technology aims to enhance the electrical reliability of integrated circuits (ICs) through machine learning algorithms that identify and correct design flaws early in the development process. The goal is to optimize performance, reduce power consumption, and minimize design rework time. However, the Company warns that the successful implementation of this technology depends on securing adequate funding and forming strategic partnerships.
GBT Technologies Inc. (OTC PINK: GTCH) is exploring the integration of its AI-driven financial management technology for social media applications. This innovative system aims to optimize credit card transactions, ensuring users achieve maximum financial benefits. The technology also incorporates robust cybersecurity features, including blockchain integration, to safeguard transactions and protect user data. GBT's assessment of these systems is intended to create a secure and efficient monetary assistant tailored to social and entertainment platforms, although success is contingent on securing funding and partnerships.
GBT Technologies Inc. (OTC PINK: GTCH) announced the allowance of a non-provisional patent for its AI-driven image identification technology. This innovative technology utilizes machine learning to recognize human facial and bodily features, enhancing security applications for smartphones and computers. Key features include advanced geometrical analysis, neural networks for real-time biometric identification, and potential uses in crowded spaces. However, the company faces uncertainty in successful implementation and requires adequate capital investment for research and development.
GBT Technologies Inc. (OTC PINK: GTCH) announced its financial software patent application for an AI-driven credit card consolidation system, published on October 20, 2022. The system automates credit card management by prioritizing usage based on factors like interest rates and rewards. Aimed at enhancing financial decisions, the patent seeks to protect this innovative technology, which relies on GBT’s database management methods and machine learning. The company plans further research and development but warns that success depends on securing capital and partnerships.
GBT Technologies Inc. (OTC PINK: GTCH) is developing a machine learning-driven RF cybersecurity system to enhance security for wireless networks. The system aims to recognize device RF fingerprints, distinguishing safe from potentially malicious signals. By dynamically reconfiguring network operating modes in response to threats, GBT seeks to provide real-time protection against data theft and cyberattacks. While the project promises advanced capabilities, success depends on securing adequate funding and establishing strategic partnerships.
GBT Technologies (OTC PINK: GTCH) filed a non-provisional patent application for their Electronic Design Automation software, codenamed Phi, aimed at automating the generation of reusable integrated circuit (IC) layout blocks. This technology is designed to significantly reduce the time and cost of microchip design by utilizing plug-and-play reusable IP blocks. The patent was submitted on September 27, 2022, under application ID: 17953378. However, there are no guarantees of success in development or market entry as capital and strategic partnerships will be necessary.
GBT Technologies is advancing its research on Electro-Thermal Aware design for integrated circuits to enhance reliability and performance. With over 50% of IC failures linked to thermal issues, the company aims to develop a design environment that identifies hot spots during the design stage. This system will utilize machine learning for real-time thermal assessments, improving operational efficiency. However, successful implementation will depend on adequate capital and strategic partnerships, with no guarantees on outcomes.