#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 – Investorideas.com (www.investorideas.com), 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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this in full at https://www.investorideas.com/news/2021/artificial-intelligence/02241GTCH-JNPR.asp
Today’s
Column- The
AI Eye- Watching stock news, deal tracker and advancements
in artificial intelligence
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, Investorideas.com
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About
GBT Technologies Inc.
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.
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