Breaking #AI #Stock News: GBT
(OTCPK: $GTCH) is Researching the Development of a Unified, #MachineLearning-driven,
Automated IC Design Environment; #artificialintelligence
The
solution aims to provide one comprehensive Integrated circuit design platform including
planning, implementation and verification in a single, unified environment
SAN
DIEGO, CA, June 6, 2022 (Investorideas.com Newswire) GBT Technologies Inc. (OTC PINK: GTCH)
("GBT” or the “Company”), is researching the development of a machine
learning-driven, automated integrated circuits design environment, enabling Fast-Track,
Design-to-Silicon capabilities. The research is focused on an unified environment
that contemplates including architecture design, functional verification, full-system power
analysis and comprehensive physical verification. The goal of the design
environment is to improve design performance by analyzing latency area optimization,
bandwidth and power. The solution that the Company is researching is
aimed to support custom analog, mixed, radio frequency and synthesis designs.
In addition, the Company intends that the new system will perform signoff
extraction, static timing analysis (STA), robust physical verification
including design for manufacturing (DFM) and electromigration.
Read this in full at https://www.investorideas.com/CO/GOPH/news/2022/06061IC-Design-Environment.asp
Typically,
the industry is using separate electronic design automation (EDA) tools for
specific topic which creates vast integration efforts. GBT plans to offer a one-shop stop for the
entire IC design flow. GBT believes that
a comprehensive, highly automated flow, would enable fast-track for an IC
design project by combining traditionally separate front-end and back-end chip
design technologies, into one integrated flow. The automated flow is being
designed to eliminate iterations between EDA tools, accelerating the design
cycle and reducing the overall IC development time and costs. The system
plans to support mixed signals System on a Chip (SoC), digital cores and analog
IPs. The research is examining the use
of the GBT’s machine learning-driven accelerators to dramatically enhance
design productivity and enabling design reuse in the design environment. Deep learning algorithms will aim to provide
rapid design capabilities by analyzing and optimizing circuit designs and
layouts. The system will take into consideration the process design rules, reliability
constraints, DFM and thermal analysis aspects. GBT believes that its research
will illustrate that this type of a machine learning-driven, unified, IC design
environment will provide a quantum leap in efficiency and productivity for
microchip’s designers, significantly reducing the overall IC’s design time.
“We
are researching an IC solution that would target small start-up companies to large
corporations in the semiconductor industry with varying design requirements. With GBT’s new approach, we aim to develop a
machine learning-driven, one automated IC design flow, enabling Fast-Track Design-to-Silicon
for IC design houses. The way we want to
do this is by combining traditionally separate front-end and back-end chip
design flows into one integrated environment that accelerates the overall
design cycle and reducing the IC development costs. A typical microchip design process includes
many steps which are classified as front-end and back-end tasks. Various steps
are executed using separate EDA tools which require vast amount of integration
and design environment adjustments. The new, machine learning-driven flow that
we are researching aims to provide one-stop design environment advanced
capabilities, with high levels of automation, with the goal of enabling the
delivery of superior quality designs, with much faster completion time. The usage of our deep learning and advanced
computational geometry algorithms aims to produce a comprehensive design environment,
enabling efficient digital/analog design and implementation, particularly with
advanced manufacturing nodes. In addition, we are also researching
incorporating other capabilities into the system which may include functional
and physical verification, simulations, power optimization, characterization, or
yield management. With this research we
aim to standardize digital and analog IC’s design, simulation, verification and
characterization. We firmly believe that a one, intelligent, automated IC
design environment will introduce a significant productivity enhancement for IC
design firms, reducing their overall projects design time and bringing them faster
to market,” stated 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 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 because 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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