Breaking #AI #Health #Stock News: GBT
(OTCPK: $GTCH) is Evaluating an Implementation of Advanced NLP Algorithm, To Provide
Powerful NLP Features for Its AI #Healthcare Advisory System;
#artificialintelligence
The Advanced NLP (Natural
Language Processing) capabilities to enhance the human-to-computer interaction experience,
capable of making it significantly more user friendly, mainly intuitive
San Diego, CA, January 27, 2022 - (Investorideas.com Newswire) GBT Technologies Inc. (OTC PINK: GTCH) ("GBT”, or the “Company”), is evaluating the use of advanced NLP algorithm model to enhance its AI based healthcare advisory system human interaction experience. The Text-To-Text Transfer Transformer (T5) model introduces an efficient technology to perform a wide variety of supervised Natural Language Processing (NLP) tasks such as classification, Q&A and summarization. Typically, most of the new deep learning NLP models are very large and include vast number of parameters. Normally the larger the NLP model, the more learning capacity it has, yet one of the main disadvantages is the huge dataset which may reduce the overall performance. The advanced NLP algorithm model is considered one of the most advanced, high performance NLP algorithms that includes a vast number of parameters, using significantly less memory, and provides high accuracy. GBT will be evaluating the T5, pre-trained model with the goal of using it in its Hippocrates healthcare advisory system, handling Q/A, text, summarization and compositional commonsense knowledge. The model allows more parallel processing than methods like Recurrent Neural Network (RNN) and Convolutional Neural Network CNN) which significantly increases data understanding and reasoning capabilities. For example, T5 model is capable of processing words together rather than on a word-by-word of a given text. As global data realm is estimated to reach zettabytes range in the near future, our deep learning computing will need powerful processing capabilities, comprehending and scrutinizing data, particularly in the huge, unstructured NLP domain. The system is designed to perform as a general health Q/A advisory system, providing first-line of health-related advice. We plan to further develop the system to include intelligent telemedicine capabilities that will assist patients and healthcare specialists through global connected devices.
Read this news, featuring
GTCH in full at https://www.investorideas.com/CO/GOPH/news/2022/01271NLP-Algorithm.asp
“Natural
Language processing (NLP) is currently broadly used for the various tasks
involving sentiment analysis, for example spam email detection, textual/voice
driven virtual assistants, chatbots, and similar. In the last decade, deep learning technology have
become more powerful, allowing larger data and faster processing models to
handle the constantly growing unstructured data. The amount of unstructured
data has become a challenge for information analysis especially within the NLP arena
due to compositional complexity and the demand for a human-alike interaction.
Today’s voice and text digital assistants are expected to efficiently “understand”
verbal or textual conversations, exactly as an in-person interaction. Artificial
General Intelligence (AGI) is our machine learning solution to “understand” the
data, reason and make decisions exactly as a human would do. One of the key challenges for such system is
to comprehend humans natural language, interpret, and manipulate it, which is
exactly what NLP is. Our Avant! deep neural networks already encapsulate vast
computing power, allowing larger language models with faster processing. We are
seeking new capabilities by combining new NLP models with our current technology
to better “understand” users, their intent, and providing accurate, well summarized,
response. We are evaluating if the possible implementation of the T5 model within
our Hippocrates healthcare AI system may produce much more robust level of
user’s chat interaction with more
human-alike dialog, mainly intuitive. The Hippocrates healthcare
advisory system is aimed to provide first line health related advice and to become
an assisting tool for the general population and healthcare professionals. Its
human interaction aspect, via a robust NLP technology, is one of the most
important features to ensure viable and accurate health related advice
information,” provided Danny Rittman, the Company’s CTO.
There
is no guarantee that the Company will be successful in researching, developing
or implementing this system. In order to
successfully implement this concept, 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.
About Us
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.
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 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.
Contact:
Dr. Danny Rittman, CTO
press@gopherprotocol.com
GBT Technologies Inc.
(OTCQB:GTCH) is a featured tech stock on
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