SAN DIEGO, CA – April 21, 2022 (Investorideas.com Newswire) GBT Technologies Inc. (OTC PINK: GTCH) (“GBT” or the “Company”) filed with U.S. Patent and Trademark Office (“USPTO”) a non-provisional patent to protect media and advertisement systems and methods based on AI technological concepts. The application seeks to protect GBT’s AI controlled technique to implement advertisements and informercial symbols within text and images. The application was filed with the USPTO on April 19, 2022 and assigned serial number 17723658.
The patent application seeks to protect systems and methods of generating smart, non-obtrusive advertisements symbols that include scanning content displayed on a media page. The advertising symbols can be corporate logos, product logos and/or brand names and may replace text or graphic characters in the content or may replace the mouse cursor. The concept can be implemented as an intelligent way to implement advertisement commercial symbols within written and internet-oriented medias. Ads and banners in newspapers, magazines, and Internet web sites are expensive due to the space issue. A page in a newspaper or magazine or any Internet based document is very limited for advertisement space. This causes higher priced advertisement banners and ads and limits corporations and individuals from advertising within popular media forms like major newspapers, magazines and publications. Furthermore, Internet documents that are presented with special graphical effects may not be viewed by all Internet surfers due to compatibility issues. The technology seeks to alleviate to a great extent the disadvantages and problems associated with available schemes for delivering advertisements in popular media like newspapers, magazines, publications, movies, and the Internet by providing methods and systems to replace any desired symbol, text character, or graphic with an advertisement symbol. The systems and methods are governed GBT’s machine learning technology that is used for textual and imaging analysis, efficiently inserting advertisement and infomercials data within media mediums.
“We believe our deep learning technology can make a whole world of difference within the media and advertisement arenas. Advertising is a necessary component of modern commerce. Conflicting issues are involved in advertising, for example, the advertiser wants to deliver a message to the consumer, so the attention of the consumer must be captured, but the advertiser must not present the advertisement in a way or to the extent that it hinders the reading/viewing activity of the consumer or annoys the consumer. Advertising available in typed or written media like newspapers, magazines, publications, and the Internet usually use an entire section and/or a special allocation of the media page. Ads and banners in newspapers, magazines, and Internet web sites are expensive due to the space issue. In addition, current available advertising methods on the Internet are limited. As a result, advertising is not fulfilling its maximum capability of exposure to viewers in the popular media. Therefore, there is a need for improved systems and methods of generating efficient, unobtrusive advertisements. There also is a need for a novel advertising method and system for typed, printed, written and electronic media that can be integrated into Internet documents. Moreover, there is a need for an intelligent method to significantly increase the exposure to the advertisement material using special advertising symbols, managed by machine learning algorithms for optimal results. We believe our patent improves to a great extent the disadvantages and problems associated with available schemes for delivering advertisements in popular media like newspapers, magazines, publications, movies, and the Internet by implementing machine learning techniques to replace any desired symbol, text character, or graphic with an advertisement symbol. By this mechanism, we believe our technology will allow any corporation or other type of advertiser to advertise products and/or desired subjects with greater exposure, reaching larger audience. We find this topic an intriguing opportunity for our artificial intelligence technology to be implemented, and intend to further explore its horizons in the near future,” provided Danny Rittman, GBT’s CTO.
There is no guarantee that the Company will be successful in researching, developing or implementing this system or that it will be granted the patent (or prior provisional patent). In order to successfully implement this system, the Company will need to raise adequate capital to support its research and, if successfully researched, developed and granted regulatory approval, the Company would need to enter into a strategic relationship with a third party that has experience in manufacturing, selling and distributing this product. There is no guarantee that the Company will be successful in any or all of these critical steps.
GBT Technologies, Inc. (OTC PINK: GTCH) (“GBT”) (http://gbtti.com) is a development stage company which considers itself a native of Internet of Things (IoT), Artificial Intelligence (AI) and Enabled Mobile Technology Platforms used to increase IC performance. GBT has assembled a team with extensive technology expertise and is building an intellectual property portfolio consisting of many patents. GBT’s mission, to license the technology and IP to synergetic partners in the areas of hardware and software. Once commercialized, it is GBT’s goal to have a suite of products including smart microchips, AI, encryption, Blockchain, IC design, mobile security applications, database management protocols, with tracking and supporting cloud software (without the need for GPS). GBT envisions this system as a creation of a global mesh network using advanced nodes and super performing new generation IC technology. The core of the system will be its advanced microchip technology; technology that can be installed in any mobile or fixed device worldwide. GBT’s vision is to produce this system as a low cost, secure, private-mesh-network between any and all enabled devices. Thus, providing shared processing, advanced mobile database management and sharing while using these enhanced mobile features as an alternative to traditional carrier services.
Certain statements contained in this press release may constitute “forward-looking statements”. Forward-looking statements provide current expectations of future events based on certain assumptions and include any statement that does not directly relate to any historical or current fact. Actual results may differ materially from those indicated by such forward-looking statements as a result of various important factors as disclosed in our filings with the Securities and Exchange Commission located at their website ( http://www.sec.gov). In addition to these factors, actual future performance, outcomes, and results may differ materially because of more general factors including (without limitation) general industry and market conditions and growth rates, economic conditions, governmental and public policy changes, the Company’s ability to raise capital on acceptable terms, if at all, the Company’s successful development of its products and the integration into its existing products and the commercial acceptance of the Company’s products. The forward-looking statements included in this press release represent the Company’s views as of the date of this press release and these views could change. However, while the Company may elect to update these forward-looking statements at some point in the future, the Company specifically disclaims any obligation to do so. These forward-looking statements should not be relied upon as representing the Company’s views as of any date subsequent to the date of the press release.
Dr. Danny Rittman, CTO
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