GBT Commences Analog Computing R&D Targeting the Robotics Field
September 23 2019 - 7:00AM
GBT Technologies Inc., September 23rd , 2019 (OTC PINK: 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™ global mesh network technology platform for both
mobile and fixed solutions, today announced that it commenced
R&D activities for machine learning and analog computing,
specifically targeting the area of robotics.
GBT plans to further research analog computing
to drive more improvements in computational efficiency. One of the
main aims of this new research and development effort is to provide
machine learning algorithms with better resilience to noise and
uncertainty, while avoiding a trade-off between accuracy and
numerical precision. Analog computing is an innovative emerging
field which GBT intends to invest in, in order to enable its AI
technology with analog features.
GBT will base this new R&D effort on software to be
integrated with its existing platforms and hardware. GBT analog
computing plans to use arrays of nonvolatile memory to perform sets
of matrix operations, enabling robots and autonomous machines with
analog features; for example, robots will be able to identify
noises and sounds very similar to a human, and therefore make
decisions based on wider range of information. Another example
would be enabling robots to recognize human body language and voice
inflection, and respond appropriately. "With this new
research activity we are laying the foundation of a true human-like
learning system. Analog computing for machine learning enables
robots to interact with humans, not only based on visual cues, but
also according to tone of speech and body language. Our AI
technology plans to incorporate both high and low-level computing,
which we believe is a more accurate model of human intelligence”
stated Danny Rittman, GBT’s CTO.
“Humans do most things automatically, meaning at
a low level of instinctive decision making, and only perform
specific actions at a higher level of consciousness. GBT’s robotics
systems are planned to include the inherent features and benefits
of analog technology, combined with our machine learning
algorithms, providing them broader spectrum of data. Our goal is
enable true human behavior with a system can that better hear and
analyze sounds, visual imaging, thermal, and additional physical
phenomenon. These efforts are a mix between the physics of AI and
data science" added Douglas Davis, GBT’s CEO.
About GBT Technologies
Inc.
GBT Technologies Inc. (OTC PINK: GTCH) (“GBT”)
(https://goph.io) 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.
https://www.avant-ai.net
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://aggregator.genesisexchange.io/ (Beta Version)
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Contact :Douglas Davis, CEO GBT Technologies Inc.Media:
press@gopherprotocol.com
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