#AI
#Stock GBT (OTCPK:
$GTCH) is Implementing #MachineLearning Driven, Pattern
Matching #Technology for its Epsilon, #Microchip Reliability Verification and Correction
EDA Tool
SAN DIEGO, CA, September
1, 2022 - (Investorideas.com Newswire) GBT Technologies Inc. (OTC PINK: GTCH)
("GBT” or the “Company”), is implementing a machine learning driven, pattern
matching technology within its Epsilon, microchip’s reliability verification
and correction Electronic Design Automation (EDA) tool. Design rules are
getting increasingly complex with each new process node and design firms are
facing new challenges in the physical verification domain. One of the major
areas that are affected by the process physics, is reliability Verification
(RV). Microchips are major components nearly in every major electronics
application. Civil, military and space exploration industries require reliable
operations for many years, and in severe environments. High performance
computing systems require advanced processing with high reliability to ensure
the consistency and accuracy of the processed data. Complex integrated circuits
are in the heart of these systems and need to function with high level of dependability.
Particularly in the fields of medicine, aviation, transportation, data storage
and industrial instrumentation, microchip’s reliability factor is crucial. GBT
is implementing new machine learning driven, pattern matching techniques within
its Epsilon system with the goal of addressing the advanced semiconductor’s
physics, ensuring high level of reliability, optimal power consumption and high
performance. As Epsilon analyzes the
layout of an integrated circuit (IC), it identifies reliability weak spots,
which are specific regions of an IC’s layout, and learns their patterns. As the tool continues analyzing the layout it
records problematic zones taking into account the pattern’s orientations and
placements. In addition, it is designed to understand small variations in dimensions
of the pattern, as specified by the designer or an automatic synthesis tool. As
the weak spots are identified, the tool will take appropriate action to modify and
correct them. A deep learning mechanism will be performing the data analysis,
identification, categorization, and reasoning while executing an automatic
correction. The Machine Learning will understand the patterns and record them
in an internal library for future use. Epsilon’s
pattern matching technology will be analyzing the chip’s data according to a
set of predefined and learned-from-experience rules. Its cognitive capabilities
will make it self-adjust to newest nodes with new constraints and challenges, with
the goal of providing quick and reliable verification and correction of an IC
layout.
Read
this in full at https://www.investorideas.com/CO/GOPH/news/2022/09011Machine-Learning.asp
The
Company released a video which explain the potential functions of the Epsilon
tool: https://youtu.be/Mz4IOGRHeqw
"The
ability to analyze and address advanced IC’s reliability parameters is
necessary to mitigate risk of system degradation, overheating, and possible
malfunction. It can affect microchip’s performance, power consumption, data
storage and retrieval, heat and an early failure which may be critical in vital
electronic systems. Epsilon analyzes a microchip data for reliability, power
and electrothermal characteristics, and performs auto-correction in case
violations found. We are now implementing an intelligent technology for Epsilon
with the goal of utilizing pattern matching algorithms to formulate a smart detection
of reliability issues within integrated circuits layout. The new techniques
will analyze and learn weak spots within microchip’s data, predicting failure
models that are based on the process’ physics and electrical constraints
knowledge. It will take into consideration each device’s function, connectivity
attributes, electrical currents information, electrothermal factors and more to
determine problematic spots and perform auto-correction. Particularly for
FinFet and GAA FET (Gate All Around FET) technologies, a device’s functionality
is developed with major reliability considerations ensuring power management
efficiency, optimal thermal analysis aiming for long, reliable life span. Using
smart pattern matching methods, we plan to improve reliability analysis, achieving
consistency and accuracy across designs within advanced manufacturing
processes. As dimensions of processes
shrink, IC’s layout features become much more complex to analyze for electrical
phenomenon. To provide an intelligent answer for these complexities, we are implementing
deep learning-based pattern matching technology with the goal of ensuring
efficient, ‘green’ microchip’s power consumption, higher performance, optimized
thermal distribution, and ultimately superior reliability,” 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 and fully developed,
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: GTCHD) (“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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