#AIEye
#Podcast 594: #Stocks discussed: (OTCPINK: $GTCH) (NYSE: $IBM)
GBT
Testing NVIS Antenna Tech for Infinia Long Range Communication, and IBM Unveils
Telum Processor with On-Chip AI Acceleration
Global
#AI in #Food and #Beverages Market to Reach $29.45B by End of 2026
Point Roberts WA, Vancouver BC – August 23, 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/2021/082321-AI-Eye.mp3
Read this in full
at https://www.investorideas.com/news/2021/artificial-intelligence/08231GTCH-IBM.asp
Today’s
Column- The
AI Eye- Watching stock news, deal tracker and advancements
in artificial intelligence
Stocks
discussed: (OTCPINK:GTCH) (NYSE:IBM)
GBT Technologies Inc. (OTC PINK:GTCH) has announced that it is now testing Near Vertical
Incidence Skywave (NVIS) Antenna Technology for its Infinia long range communication.
NVIS is described in the press release as “a type of ionospheric radio
transmission that can be used to fill the gaps between line of sight and longer
distance skip zones that are used at HF bands.” The company’s CTO, Danny
Rittman, explained:
“This
type of technology requires the use of unique antennas that are designed
specifically for this type of communication. Typical HF radio antennas provide
a much lower angle of radiation and therefore a specifically designed antenna
will be used.
These
antennas provide a high angle of transmission that is necessary for NVIS
propagation. We will use horizontally polarized, horizontal dipoles and loop
antennas for the system's testing. The main challenge of an HF communication
system is to provide coverage for the dead zones. NVIS utilizes the difference
in elevation pattern responses approaching or reaching 90 degrees. Using this
type of antenna technology with an appropriate frequency selection will
potentially establish reliable communication to cover HF dead zones. Utilizing
AI algorithms, we aim to implement smart, self-tuning antennas along with
frequency selection to achieve automatic, optimal performance and complete
coverage. In areas where no modern communication infrastructure exists, NVIS radio
wave propagation may provide contact to the outside world enabling remote
location emergency response, telemedicine and modern world communication,
including the internet.”
IBM (NYSE:IBM)
has unveiled details of the upcoming Telum
Processor, which aims to bring deep learning inference to enterprise workloads,
helping to address fraud in real-time, and which will contain on-chip
acceleration for AI inferencing while a transaction is taking place. An excerpt
from the press release reads:
The
new chip features an innovative centralized design, which allows clients to
leverage the full power of the AI processor for AI-specific workloads, making
it ideal for financial services workloads like fraud detection, loan
processing, clearing and settlement of trades, anti-money laundering and risk
analysis. With these new innovations, clients will be positioned to enhance
existing rules-based fraud detection or use machine learning, accelerate credit
approval processes, improve customer service and profitability, identify which
trades or transactions may fail, and propose solutions to create a more efficient
settlement process.
Global
AI in Food and Beverages Market to Reach $29.45B by End of 2026
A report published by Facts & Factors finds that the global AI
in Food and Beverages market will grow from $3.07 billion in 2020 to $29.45
billion by the end of 2026, registering a compound annual growth rate (CAGR) of
roughly 45.7 percent in the forecast period 2021-2026. An excerpt from the
report’s summary outlines factors driving the market’s growth:
Artificial
Intelligence (AI) in Food and Beverage Market is projected to be driven by the
growing need to analyze consumer buying behavior and predict inventory levels
to reduce food waste. The rising need for AI implementation to improve supply
chain processes is expected to boost AI in the food and beverages market within
the forecast period. Furthermore, increasing research and development
activities, as well as modernization and technological advancements in the
devices used to monitor artificial intelligence in the food sector, will create
new opportunities for artificial intelligence in the food & beverages
market over the forecast period
Sam Mowers, Investorideas.com
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