#AI #Stock News: GBT
(OTCPINK: $GTCH) Seeking to Develop a New LSTM (Long/Short Term Memory) RNN
(Recurrent Neural Network)
SAN
DIEGO - January 8, 2020 (Investorideas.com Newswire) GBT Technologies Inc. (OTCPINK:
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™
wireless mesh network technology platform and its Avant! AI, for both mobile
and fixed solutions, announced that it is now working on the development of a
new LSTM (Long/Short Term Memory) RNN (Recurrent Neural Network).
Read this news in
full at https://www.investorideas.com/CO/GOPH/news/2020/01081LSTM-RNN.asp
The
new RNN will be based on GBT's upcoming communication IC patent (patent grant
expected Q1 2020) with a goal of dramatically expanding its AI-controlled
microchip technology platform.
GBT
targets AI-controlled communications markets which are constantly expanding,
and to address this expansion, GBT is designing a new architecture of RNN that
is based on a proprietary LSTR (Long/Short Term Memory) algorithm. The new RNN
will seek to offer robust training capabilities along with vast computational
power. The new RNN is designed to store and distribute vast amounts of
information about past and present events efficiently.
In
addition, its design includes a non-linear flow that allows dynamic status
updating of an event, which allows efficient, real-time response. This is
particularly important for autonomous vehicles that require vast data analysis
in real time. The new system is being designed to rapidly and efficiently
learns about events, with the goal of creating a huge amount of possible
responses, analyzing for the best one, and implementing it. It is expected that
the entire process will last pico-seconds as the system captures the events,
generates the knowledge base data, and runs a multi-solution solver in parallel
to produce an optimal outcome.
The
LSTM feature is being designed to enable the RNN to classify and remember an
event's data for a long/short time, according to event's significance and
impact. The new algorithms are expected to take into account
appearing/vanishing factors by using an advanced optimizer that can detect
changes with a tiny gradient. The new RNN memory method is being designed to
create a dynamic long-short term memory network based on database logistics and
multiplicative interactions.
The
new, expected architecture may include various combination styles designed to
work within GBT's GopherInsight™ communication AI microchip and can be used in
a wide variety of applications. The new RNN will be implemented via hardware
and software within the Company's communication microchip patent expected in Q1
2020. In addition, it is planned to be an integral part of GBT's future
multi-planner microchip technology, which is currently in design with the goal
to enable the design of 3D, multi-planner processing components inside a chip.
"Our
goal is for this new RNN to enable high-capacity, high-speed AI based analytics
and data processing, which is crucial for advanced computing for use in
autonomous vehicles and similar applications," stated Danny Rittman, GBT's
CTO. "As we evolve towards vast, ever-changing conditions, it becomes
crucial to be able to build a fast, self-learning, self-training system that is
capable of remembering past events for long time. Decisions will have to be
taken rapidly based on an event's point of time, importance and priority.
"Imagine
an autonomous vehicle with ever-changing events. We are developing our new RNN
to learn on its own about these events, performing an analysis, evaluate
numerous amount of possible solutions, make an optimal decision and executing
it. That's is why we are creating a new architecture LSTM hierarchical
algorithm in order to enable high-speed, high-capacity data input with point of
time consideration. The world of computing has evolved dramatically over the
past decade as we generate data at a faster rate than we can analyze it. The
new RNN is targeted to be implemented within GBT's microchip's technologies.
It's a powerful AI platform targeted to a wide variety of applications
including autonomous vehicles, robotics, medicine and civil/military security
systems. GBT foresee an on-going development for this new family of RNN
algorithms with the goal of creating superior real-time, accurate decision
making systems."
About GBT Technologies Inc.
GBT Technologies Inc. (OTC PINK: GTCH) (“GBT”) (http://gopherprotocol.com/) is
a development-stage company which considers itself a native IoT creator, developing Internet of Things (IoT) and Artificial Intelligence (AI) enabled mobile technology platforms. GBT has a portfolio of Intellectual Property that, when commercialized, will include smart microchips, mobile and security applications and protocols, and supporting cloud software. GBT’s system envisions the creation of a global mesh network. The core of the system will be its advanced microchip technology that can be installed in any mobile or fixed device worldwide. GBT envisions this system as a low-cost, secure, private mesh network between any enabled devices, providing shared processing, advanced mobile database management/sharing and enhanced mobile features as an alternative to traditional carrier services.
a development-stage company which considers itself a native IoT creator, developing Internet of Things (IoT) and Artificial Intelligence (AI) enabled mobile technology platforms. GBT has a portfolio of Intellectual Property that, when commercialized, will include smart microchips, mobile and security applications and protocols, and supporting cloud software. GBT’s system envisions the creation of a global mesh network. The core of the system will be its advanced microchip technology that can be installed in any mobile or fixed device worldwide. GBT envisions this system as a low-cost, secure, private mesh network between any enabled devices, providing shared processing, advanced mobile database management/sharing and enhanced mobile features as an alternative to traditional carrier services.
About GBT Technologies, S.A.
GBT
Technologies, S.A., a private Costa Rican corporation (GBT - http://gbttechnologies.com/) is a
development-stage company in the business of the strategic management of BPO
(Business Process Outsourcing) digital communications
processing for enterprises and startups; distributed ledger technology
development, AI development and fintech software development and
applications.
https://aggregatorv2.genesisexchange.io (New Beta Version)
Forward-Looking
Statements
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
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In addition to these factors, actual future performance, outcomes, and results
may differ materially because of more general factors including (without
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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
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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.
Contact:
Dr.
Danny Rittman, CTO
GBT Technologies Inc.
GBT Technologies Inc.
GBT Technologies
Inc. (OTCQB:GTCH) is a featured tech stock on
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