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Wednesday, February 24, 2021

#AIEye #Podcast 524: GBT (OTC: $GTCH) Developing Algorithms and Techniques for Kirlian Research, and Juniper (NYSE: $JNPR) Networks Announces New AI-Driven Solutions; #ArtificialIntelligence

#AIEye #Podcast 524: GBT (OTC: $GTCH) Developing Algorithms and Techniques for Kirlian Research, and Juniper (NYSE: $JNPR) Networks Announces New AI-Driven Solutions; #ArtificialIntelligence


Global Personalized #AI and #Robotics Market Projections


Point Roberts WA, Vancouver BC – February 24, 2021  – (, a global investor news source covering Artificial Intelligence (AI) brings you today’s edition of  The AI Eye-  watching stock news, deal tracker and advancements in artificial intelligence    featuring technology company GBT Technologies Inc. (OTCPINK:GTCH).


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Stocks discussed: (OTCPINK:GTCH) (NYSE:JNPR)


GBT Technologies Inc. (OTC PINK:GTCH), along with GBT Tokenize Corp., is developing real time object detection algorithms and techniques for Kirlian research. Danny Rittman, the Company's CTO, explained:


"As we continue with the Kirlian Imaging research, we encountered the need for a fast processing of a Kirlian image. A Kirlian image contains a huge amount of data to be analyzed, especially if we are interested in real time processing. An image that is produced by Kirlian technique includes a colorful, object's energy representation, called an Aura. We are aiming to analyze this Aura, using computational geometry algorithms and neural network algorithms. Each image's Aura is targeted to be analyzed according to its color, size, shape and pattern. This type of processing may take a long time even with advanced computational geometry approaches. Due to the vast amount of an image's data, we need to develop advanced pattern recognition algorithms that will enable real-time results. We are researching a new detection and analysis approach to categorize each image's Aura characteristics and features. The method will analyze geometrical objects, their relation to their neighbored objects and to the overall image. Each object will be processed through a module, which we call a classifier to catalog it within a similar set of objects. It is our goal to have a neural network-based algorithm performing a parallel processing per objects group to achieve rapid, real-time results. In order to further enhance this processing, we will consider parallel processing of the data by software and supporting hardware, i.e. CPUs, GPUs. We are going to invest significant efforts to develop real-time object detection and pattern recognition methods to reach our goal, which is lightning speed, real time analysis. This stage of the research is aimed to assist with providing the data on-the-fly, possibly advising into health-related information can identify underlying conditions and symptoms.”


Juniper Networks, Inc. (NYSE:JNPR) has today announced several new solutions that further execute on the company's vision of end-to-end AI-driven automation, insight and actions from client-to-cloud. These include: the WAN Assurance and Marvis Virtual Network Assistant (VNA) for Session Smart SD-WAN, Enhanced SRX operations driven by Mist AI, and a New EX4400 secure access switch. Jeff Aaron, VP Enterprise Product Marketing, said:


"Juniper is consistently recognized for our experience-first approach to networking, where AI-driven automation, insight and actions simplify operator experiences and optimize end-user experiences from client-to-cloud. These latest product enhancements underscore our sustained commitment to executing on this vision, as well as our unique ability to rapidly deliver new solutions that drive real value to both customers and partners."



Global Personalized AI and Robotics Market Projections


A report published by Research and Markets analyzing the global Personal AI and Robotics market, finds that the APAC region will lead the market in the forecast period 2021-2026, and that the global market for personalized robot components will reach $15.0 billion by 2026. An excerpt from the report’s description reads:


We see substantial overall industry growth across a wide range of robot types that engage in diverse tasks such as home cleaning, personalized healthcare service, home security, autonomous cars, robotic entertainment and toys, carebots services, managing daily schedules, and many more assistive tasks. Furthermore, we see a few key factors such as the ageing population, personalization services trends, and robot mobility will drive growth in this industry segment.

In addition, developments in artificial intelligence and cognitive computing support the inclusion of these technologies with virtually every type of robot including general-purpose bots that act on behalf of their owner. The combination of AI and IoT (AIoT) will further support market development, leading to semi-autonomous markets that interact with humans directly as well as other machines, and assets through interconnected systems.


Sam Mowers,


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About GBT Technologies Inc.

GBT Technologies, Inc. (OTC PINK: GTCH) (“GBT”) ( 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.


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