#AIEye
#Podcast 595: #Stocks discussed: (OTCPINK: $GTCH) (NasdaqGS: $NVDA) #artificialintelligence
GBT
aims to implement non-invasive blood glucose monitoring for qTerm and US Dept.
of Energy supercomputer to use NVIDIA computing platform
Global
#Blockchain #AI Market to Reach $785.8M by 2026
Point Roberts WA, Vancouver BC – August 25, 2021 – Investorideas.com (www.investorideas.com), a global investor news source covering
Artificial Intelligence (AI) brings you today’s edition of The
AI Eye- watching stock news, deal tracker and advancements in
artificial intelligence – featuring technology company GBT
Technologies Inc. (OTCPINK:GTCH).
Listen
to today’s podcast:
https://www.investorideas.com/Audio/Podcasts/2021/082521-AI-Eye.mp3
Read
this in full at https://www.investorideas.com/news/2021/artificial-intelligence/08251GTCH-NVDA.asp
Today’s
Column- The
AI Eye- Watching stock news, deal tracker and advancements
in artificial intelligence
Stocks
discussed: (OTCPINK:GTCH) (NasdaqGS:NVDA)
GBT Technologies Inc. (OTC PINK:GTCH) is aiming to implement a noninvasive blood
glucose monitoring feature for its qTerm human vitals measurement device.
Specifically, this will involve the use of “non-invasive, photoplethysmographic
(PPG) optical sensors,” which “can track small variations in blood biological
substances through the skin and with the use of AI algorithms determine blood
sugar levels.” GBT’s CTO, Danny Rittman, explained:
"We
are quite ambitious when it comes to our qTerm health watching device and
constantly looking how to make it more comprehensive and efficient. Using the
device optical sensors along with advanced artificial intelligence analytics,
we are aiming to provide noninvasive blood glucose data simply with the touch
of a finger. The hardware will sample blood elements data, providing it to a
set of AI algorithms to conclude glucose levels. We believe this type of check,
assuming fully developed, will be very appealing for diabetic patients due to
its simplicity and noninvasive fashion. We strongly believe that this
additional feature, if successfully developed, can be a major asset to qTerm,
making it a comprehensive health watching device to assist with a healthy
lifestyle.”
NVIDIA Corporation (NasdaqGS:NVDA)
has announced that the largest GPU-based
supercomputer at the U.S. Department of Energy’s Argonne National Laboratory
will run on NVIDIA’s accelerated computing platform. Called the Polaris, the
supercomputer “will combine simulation and machine learning by tackling
data-intensive and AI high performance computing workloads, powered by 560
total nodes, each with four NVIDIA A100 GPUs.” Ian Buck, vice president and
general manager of Accelerated Computing at NVIDIA, said:
“The
era of exascale AI will enable scientific breakthroughs with massive scale to
bring incredible benefits for society. NVIDIA’s GPU-accelerated computing
platform provides pioneers like the ALCF breakthrough performance for
next-generation supercomputers such as Polaris that let researchers push the
boundaries of scientific exploration.”
Global
Blockchain AI Market to Reach $785.8M by 2026
A report published by Market Research Future finds that the global
Blockchain AI market is projected to reach $785.8 million by 2026 with a
compound annual growth rate (CAGR) of 20.71 percent in the forecast period. An
excerpt from the report’s description reads:
Blockchain AI provides enhanced data security,
increases trust in robotic decisions, helps in collective decision-making, and
decentralizes intelligence. Blockchain AI provides a decentralized and scalable
environment to the various platforms, devices, and applications and allows the
connected devices to enhance security and operational efficiency in the
ecosystems. A growing number of government initiatives for the adoption of
Blockchain AI across the world in various industries are factors expected to
create significant opportunities for players operating in the market during the
forecast period. However, the limited number of blockchain AI experts is
expected to hamper the market growth during the forecast period.
Sam Mowers, Investorideas.com
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